TY  - JOUR
AU  - Randjelović, Branislav M.
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Milošević, Dušan M.
AU  - Lazović, Goran
AU  - Fecht, Hans J.
AU  - Vlahović, Branislav
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3773
AB  - Many recently published research papers examine the representation of nanostructures and biomimetic materials, especially using mathematical methods. For this purpose, it is important that the mathematical method is simple and powerful. Theory of fractals, artificial neural networks and graph theory are most commonly used in such papers. These methods are useful tools for applying mathematics in nanostructures, especially given the diversity of the methods, as well as their compatibility and complementarity. The purpose of this paper is to provide an overview of existing results in the field of electrochemical and magnetic nanostructures parameter modeling by applying the three methods that are "easy to use": theory of fractals, artificial neural networks and graph theory. We also give some new conclusions about applicability, advantages and disadvantages in various different circumstances.
PB  - MDPI, Basel
T2  - Fractal and Fractional
T1  - Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization
IS  - 3
VL  - 6
DO  - 10.3390/fractalfract6030134
ER  - 

@article{
author = "Randjelović, Branislav M. and Mitić, Vojislav V. and Ribar, Srđan and Milošević, Dušan M. and Lazović, Goran and Fecht, Hans J. and Vlahović, Branislav",
year = "2022",
abstract = "Many recently published research papers examine the representation of nanostructures and biomimetic materials, especially using mathematical methods. For this purpose, it is important that the mathematical method is simple and powerful. Theory of fractals, artificial neural networks and graph theory are most commonly used in such papers. These methods are useful tools for applying mathematics in nanostructures, especially given the diversity of the methods, as well as their compatibility and complementarity. The purpose of this paper is to provide an overview of existing results in the field of electrochemical and magnetic nanostructures parameter modeling by applying the three methods that are "easy to use": theory of fractals, artificial neural networks and graph theory. We also give some new conclusions about applicability, advantages and disadvantages in various different circumstances.",
publisher = "MDPI, Basel",
journal = "Fractal and Fractional",
title = "Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization",
number = "3",
volume = "6",
doi = "10.3390/fractalfract6030134"
}

Randjelović, B. M., Mitić, V. V., Ribar, S., Milošević, D. M., Lazović, G., Fecht, H. J.,& Vlahović, B.. (2022). Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization. in Fractal and Fractional
MDPI, Basel., 6(3).
https://doi.org/10.3390/fractalfract6030134

Randjelović BM, Mitić VV, Ribar S, Milošević DM, Lazović G, Fecht HJ, Vlahović B. Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization. in Fractal and Fractional. 2022;6(3).
doi:10.3390/fractalfract6030134 .

Randjelović, Branislav M., Mitić, Vojislav V., Ribar, Srđan, Milošević, Dušan M., Lazović, Goran, Fecht, Hans J., Vlahović, Branislav, "Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization" in Fractal and Fractional, 6, no. 3 (2022),
https://doi.org/10.3390/fractalfract6030134 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chun-An
AU  - Hwu, Reuben
AU  - Vlahović, Branislav
AU  - Fecht, Hans J.
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3744
AB  - Artificial neural networks application in science and techonology begun during 20th century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm. The input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artificial neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed thermophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature, 7: (from 1190-1370 degrees C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognose and design malty parameters but especially thermal like temperature, to avoid long and even wrong experiments which are wasting the time and materials and energy as well. By this artificial neural networks method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceramics samples production. This is very helpful in prediction and designing the micro-structure parameters important for advance microelectronic further miniaturization development. This is a quite original novelty for real micro-structure projecting especially on the phenomena within the thin films coating around the grains what opens new prospective in advance fractal microelectronics.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Sintering temperature influence on grains function distribution by neural network application
EP  - 307
IS  - 1
SP  - 299
VL  - 26
DO  - 10.2298/TSCI210420283M
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chun-An and Hwu, Reuben and Vlahović, Branislav and Fecht, Hans J.",
year = "2022",
abstract = "Artificial neural networks application in science and techonology begun during 20th century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm. The input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artificial neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed thermophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature, 7: (from 1190-1370 degrees C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognose and design malty parameters but especially thermal like temperature, to avoid long and even wrong experiments which are wasting the time and materials and energy as well. By this artificial neural networks method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceramics samples production. This is very helpful in prediction and designing the micro-structure parameters important for advance microelectronic further miniaturization development. This is a quite original novelty for real micro-structure projecting especially on the phenomena within the thin films coating around the grains what opens new prospective in advance fractal microelectronics.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Sintering temperature influence on grains function distribution by neural network application",
pages = "307-299",
number = "1",
volume = "26",
doi = "10.2298/TSCI210420283M"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Hwu, R., Vlahović, B.,& Fecht, H. J.. (2022). Sintering temperature influence on grains function distribution by neural network application. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 26(1), 299-307.
https://doi.org/10.2298/TSCI210420283M

Mitić VV, Ribar S, Randjelović BM, Lu C, Hwu R, Vlahović B, Fecht HJ. Sintering temperature influence on grains function distribution by neural network application. in Thermal Science. 2022;26(1):299-307.
doi:10.2298/TSCI210420283M .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chun-An, Hwu, Reuben, Vlahović, Branislav, Fecht, Hans J., "Sintering temperature influence on grains function distribution by neural network application" in Thermal Science, 26, no. 1 (2022):299-307,
https://doi.org/10.2298/TSCI210420283M . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Randjelović, Branislav M.
AU  - Ribar, Srđan
AU  - Čebela, Maria
AU  - Mohr, Markus
AU  - Vlahović, Branislav
AU  - Fecht, Hans J.
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3743
AB  - The Nanocrystaline diamonds are very important biomedical material with variety of applications. The experimental procedures and results have been done in the Institute of Functional Nanosystems at the University Ulm, Germany. There is an existing biocompatibility of the diamond layers, selectively improved by biomimetic 3-D patterns structuring. Based on that, we have been inspired to apply the graph theory approach in analysing and defining the physical parameters within the structure of materials structure samples. Instead the parameters values, characteristic at the samples surface, we penetrate the graphs deeply in the bulk structure. These values could be only, with some probability, distributed through the micro-structure what defines not enough precious parameters values between the micro-structure constituents, grains and pores. So, we originally applied the graph theory to get defined the physical parameters at the grains and pores levels. This novelty, in our paper, we applied for thermophysical parameters, like thermoconductiviy. By graph approach we open new frontiers in controlling and defining the processes at micro-structure relations. In this way, we can easily predict and design the structure with proposed parameters.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Thermal parameters defined with graph theory approach in synthetized diamonds
EP  - 2186
IS  - 3
SP  - 2177
VL  - 26
DO  - 10.2298/TSCI210422284M
ER  - 

@article{
author = "Mitić, Vojislav V. and Randjelović, Branislav M. and Ribar, Srđan and Čebela, Maria and Mohr, Markus and Vlahović, Branislav and Fecht, Hans J.",
year = "2022",
abstract = "The Nanocrystaline diamonds are very important biomedical material with variety of applications. The experimental procedures and results have been done in the Institute of Functional Nanosystems at the University Ulm, Germany. There is an existing biocompatibility of the diamond layers, selectively improved by biomimetic 3-D patterns structuring. Based on that, we have been inspired to apply the graph theory approach in analysing and defining the physical parameters within the structure of materials structure samples. Instead the parameters values, characteristic at the samples surface, we penetrate the graphs deeply in the bulk structure. These values could be only, with some probability, distributed through the micro-structure what defines not enough precious parameters values between the micro-structure constituents, grains and pores. So, we originally applied the graph theory to get defined the physical parameters at the grains and pores levels. This novelty, in our paper, we applied for thermophysical parameters, like thermoconductiviy. By graph approach we open new frontiers in controlling and defining the processes at micro-structure relations. In this way, we can easily predict and design the structure with proposed parameters.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Thermal parameters defined with graph theory approach in synthetized diamonds",
pages = "2186-2177",
number = "3",
volume = "26",
doi = "10.2298/TSCI210422284M"
}

Mitić, V. V., Randjelović, B. M., Ribar, S., Čebela, M., Mohr, M., Vlahović, B.,& Fecht, H. J.. (2022). Thermal parameters defined with graph theory approach in synthetized diamonds. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 26(3), 2177-2186.
https://doi.org/10.2298/TSCI210422284M

Mitić VV, Randjelović BM, Ribar S, Čebela M, Mohr M, Vlahović B, Fecht HJ. Thermal parameters defined with graph theory approach in synthetized diamonds. in Thermal Science. 2022;26(3):2177-2186.
doi:10.2298/TSCI210422284M .

Mitić, Vojislav V., Randjelović, Branislav M., Ribar, Srđan, Čebela, Maria, Mohr, Markus, Vlahović, Branislav, Fecht, Hans J., "Thermal parameters defined with graph theory approach in synthetized diamonds" in Thermal Science, 26, no. 3 (2022):2177-2186,
https://doi.org/10.2298/TSCI210422284M . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Aleksić, Dejan
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3791
AB  - The materials' consolidation, especially ceramics, is very important in advanced research development and industrial technologies. Science of sintering with all incoming novelties is the base of all these processes. A very important question in all of this is how to get the more precise structure parameters within the morphology of different ceramic materials. In that sense, the advanced procedure in collecting precise data in submicro-processes is also in direction of advanced miniaturization. Our research, based on different electro-physical parameters, like relative capacitance, breakdown voltage, and tg delta, has been used in neural networks and graph theory successful applications. We extended furthermore our neural network back propagation (BP) on sintering parameters' data. Prognosed mapping we can succeed if we use the coefficients, implemented by the training procedure. In this paper, we continue to apply the novelty from the previous research, where the error is calculated as a difference between the designed and actual network output. So, the weight coefficients contribute in error generation. We used the experimental data of sintered materials' density, measured and calculated in the bulk, and developed possibility to calculate the materials' density inside of consolidated structures. The BP procedure here is like a tool to come down between the layers, with much more precise materials' density, in the points on morphology, which are interesting for different microstructure developments and applications. We practically replaced the errors' network by density values, from ceramic consolidation. Our neural networks' application novelty is successfully applied within the experimental ceramic material density rho = 5.4 x 10(3) [kg/m(3)], confirming the direction way to implement this procedure in other density cases. There are many different mathematical tools or tools from the field of artificial intelligence that can be used in such or similar applications. We choose to use artificial neural networks because of their simplicity and their self-improvement process, through BP error control. All of this contributes to the great improvement in the whole research and science of sintering technology, which is important for collecting more efficient and faster results.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - A new neural network approach to density calculation on ceramic materials
IS  - 02
VL  - 36
DO  - 10.1142/S0217984921505497
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Aleksić, Dejan and Fecht, Hans and Vlahović, Branislav",
year = "2022",
abstract = "The materials' consolidation, especially ceramics, is very important in advanced research development and industrial technologies. Science of sintering with all incoming novelties is the base of all these processes. A very important question in all of this is how to get the more precise structure parameters within the morphology of different ceramic materials. In that sense, the advanced procedure in collecting precise data in submicro-processes is also in direction of advanced miniaturization. Our research, based on different electro-physical parameters, like relative capacitance, breakdown voltage, and tg delta, has been used in neural networks and graph theory successful applications. We extended furthermore our neural network back propagation (BP) on sintering parameters' data. Prognosed mapping we can succeed if we use the coefficients, implemented by the training procedure. In this paper, we continue to apply the novelty from the previous research, where the error is calculated as a difference between the designed and actual network output. So, the weight coefficients contribute in error generation. We used the experimental data of sintered materials' density, measured and calculated in the bulk, and developed possibility to calculate the materials' density inside of consolidated structures. The BP procedure here is like a tool to come down between the layers, with much more precise materials' density, in the points on morphology, which are interesting for different microstructure developments and applications. We practically replaced the errors' network by density values, from ceramic consolidation. Our neural networks' application novelty is successfully applied within the experimental ceramic material density rho = 5.4 x 10(3) [kg/m(3)], confirming the direction way to implement this procedure in other density cases. There are many different mathematical tools or tools from the field of artificial intelligence that can be used in such or similar applications. We choose to use artificial neural networks because of their simplicity and their self-improvement process, through BP error control. All of this contributes to the great improvement in the whole research and science of sintering technology, which is important for collecting more efficient and faster results.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "A new neural network approach to density calculation on ceramic materials",
number = "02",
volume = "36",
doi = "10.1142/S0217984921505497"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Aleksić, D., Fecht, H.,& Vlahović, B.. (2022). A new neural network approach to density calculation on ceramic materials. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 36(02).
https://doi.org/10.1142/S0217984921505497

Mitić VV, Ribar S, Randjelović BM, Aleksić D, Fecht H, Vlahović B. A new neural network approach to density calculation on ceramic materials. in Modern Physics Letters B. 2022;36(02).
doi:10.1142/S0217984921505497 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Aleksić, Dejan, Fecht, Hans, Vlahović, Branislav, "A new neural network approach to density calculation on ceramic materials" in Modern Physics Letters B, 36, no. 02 (2022),
https://doi.org/10.1142/S0217984921505497 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Randjelović, Branislav M.
AU  - Ilić, Ivana
AU  - Ribar, Srđan
AU  - Chun, An-Lu
AU  - Stajcić, Aleksandar
AU  - Vlahović, Branislav
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3592
AB  - After pioneering attempts for the introduction of graph theory in the field of ceramics and microstructures, where 1D and 2D graphs were used, in this paper we applied 3D graphs for the breakdown voltage calculation in BaTiO3 sample with some predefined constraints. We have described the relations between grains in the sample and established a mathematical approach for the calculation of breakdown voltage using experimental results. As a result, we introduced mapping between the property of sample and grain structure, then between the grain structure and mathematical graph, using various crystal structures. The main idea was to apply 3D graph theory for the distribution of electronic parameters between the neighboring grains. With this study, we successfully confirmed the possibilities for applications of graphs as a tool for the determination of properties even at the intergranular level.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - International Journal of Modern Physics B
T1  - The 3D graph approach for breakdown voltage calculation in BaTiO3 ceramics
IS  - 07
VL  - 35
DO  - 10.1142/S0217979221501034
ER  - 

@article{
author = "Mitić, Vojislav V. and Randjelović, Branislav M. and Ilić, Ivana and Ribar, Srđan and Chun, An-Lu and Stajcić, Aleksandar and Vlahović, Branislav",
year = "2021",
abstract = "After pioneering attempts for the introduction of graph theory in the field of ceramics and microstructures, where 1D and 2D graphs were used, in this paper we applied 3D graphs for the breakdown voltage calculation in BaTiO3 sample with some predefined constraints. We have described the relations between grains in the sample and established a mathematical approach for the calculation of breakdown voltage using experimental results. As a result, we introduced mapping between the property of sample and grain structure, then between the grain structure and mathematical graph, using various crystal structures. The main idea was to apply 3D graph theory for the distribution of electronic parameters between the neighboring grains. With this study, we successfully confirmed the possibilities for applications of graphs as a tool for the determination of properties even at the intergranular level.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "International Journal of Modern Physics B",
title = "The 3D graph approach for breakdown voltage calculation in BaTiO3 ceramics",
number = "07",
volume = "35",
doi = "10.1142/S0217979221501034"
}

Mitić, V. V., Randjelović, B. M., Ilić, I., Ribar, S., Chun, A., Stajcić, A.,& Vlahović, B.. (2021). The 3D graph approach for breakdown voltage calculation in BaTiO3 ceramics. in International Journal of Modern Physics B
World Scientific Publ Co Pte Ltd, Singapore., 35(07).
https://doi.org/10.1142/S0217979221501034

Mitić VV, Randjelović BM, Ilić I, Ribar S, Chun A, Stajcić A, Vlahović B. The 3D graph approach for breakdown voltage calculation in BaTiO3 ceramics. in International Journal of Modern Physics B. 2021;35(07).
doi:10.1142/S0217979221501034 .

Mitić, Vojislav V., Randjelović, Branislav M., Ilić, Ivana, Ribar, Srđan, Chun, An-Lu, Stajcić, Aleksandar, Vlahović, Branislav, "The 3D graph approach for breakdown voltage calculation in BaTiO3 ceramics" in International Journal of Modern Physics B, 35, no. 07 (2021),
https://doi.org/10.1142/S0217979221501034 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3426
AB  - This paper is based on fundamental research to develop the interface structure around the grains and to control the layers between two grains, as a prospective media for high-level electronic parameters integrations. We performed the experiments based on nano-BaTiO3 powders with Y additives. All results on dielectric parameters on submicron level are the part of global values the same measured characteristics at the bulk samples. The original idea is to develop the new computing ways to network electronic parameters in thin layers between the grains on the way to get and to compare the values on the samples. Artificial neural networks are computing tools that map input-output data and could be applied on ceramic electronic parameters. These are developed in the manner signals are processed in biological neural networks. The signals are processed by using elements which represent artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which has an influence to change output signal. The total network output presents the sum of a large number neurons outputs. This important research idea is to connect analysis results and neural networks. There is a great interest to connect all of these microcapacitances by neural network with the goal to compare the results in the standard bulk samples measurements frame and microelectronics parameters. The final result of the study was functional relation definition between consolidation parameters, voltage (U) and relative capacitance change, from the level of the bulk sample down to the grains boundaries.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Integrated Ferroelectrics
T1  - The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination
EP  - 146
IS  - 1
SP  - 135
VL  - 212
DO  - 10.1080/10584587.2020.1819042
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Ribar, Srđan and Lu, Chun-An and Radović, Ivana and Stajcić, Aleksandar and Fecht, Hans and Vlahović, Branislav",
year = "2020",
abstract = "This paper is based on fundamental research to develop the interface structure around the grains and to control the layers between two grains, as a prospective media for high-level electronic parameters integrations. We performed the experiments based on nano-BaTiO3 powders with Y additives. All results on dielectric parameters on submicron level are the part of global values the same measured characteristics at the bulk samples. The original idea is to develop the new computing ways to network electronic parameters in thin layers between the grains on the way to get and to compare the values on the samples. Artificial neural networks are computing tools that map input-output data and could be applied on ceramic electronic parameters. These are developed in the manner signals are processed in biological neural networks. The signals are processed by using elements which represent artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which has an influence to change output signal. The total network output presents the sum of a large number neurons outputs. This important research idea is to connect analysis results and neural networks. There is a great interest to connect all of these microcapacitances by neural network with the goal to compare the results in the standard bulk samples measurements frame and microelectronics parameters. The final result of the study was functional relation definition between consolidation parameters, voltage (U) and relative capacitance change, from the level of the bulk sample down to the grains boundaries.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Integrated Ferroelectrics",
title = "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination",
pages = "146-135",
number = "1",
volume = "212",
doi = "10.1080/10584587.2020.1819042"
}

Mitić, V. V., Lazović, G., Ribar, S., Lu, C., Radović, I., Stajcić, A., Fecht, H.,& Vlahović, B.. (2020). The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination. in Integrated Ferroelectrics
Taylor & Francis Ltd, Abingdon., 212(1), 135-146.
https://doi.org/10.1080/10584587.2020.1819042

Mitić VV, Lazović G, Ribar S, Lu C, Radović I, Stajcić A, Fecht H, Vlahović B. The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination. in Integrated Ferroelectrics. 2020;212(1):135-146.
doi:10.1080/10584587.2020.1819042 .

Mitić, Vojislav V., Lazović, Goran, Ribar, Srđan, Lu, Chun-An, Radović, Ivana, Stajcić, Aleksandar, Fecht, Hans, Vlahović, Branislav, "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination" in Integrated Ferroelectrics, 212, no. 1 (2020):135-146,
https://doi.org/10.1080/10584587.2020.1819042 . .

TY  - JOUR
AU  - Randjelović, Branislav M.
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3339
AB  - This research is focused on further developing of application and use of graph theory in order to describe relations between grains and to establish control over layers. We used functionalized BaTiO3 nanoparticles coated with Yttrium-based salt. The capacitance change results on super-microstructure levels are the part of the measured values on the bulk samples. The new idea is graph theory application for determination of electronic parameters distribution at the grain boundary and to compare them with the bulk measured values. We present them with vertices in graph, corresponding with grains, connected with edges. Capacitance change with applied voltage was measured on samples sintered in air and nitrogen, up to 100 V. Using graph theory, it has been shown that capacitance change can be successfully calculated on the layers between grains. Within the idea how to get parameters values at microlevel between the grains and pores, mathematical tool can be developed. Besides previously described 1D case, some original calculations for 2D cases were performed in this study, proving successful graph theory use for the calculation of values at nanolevel, leading to a further minituarization in micropackaging.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - Ceramics, materials, microelectronics and graph theory new frontiers
IS  - 34
VL  - 34
DO  - 10.1142/S0217984921501591
ER  - 

@article{
author = "Randjelović, Branislav M. and Mitić, Vojislav V. and Ribar, Srđan and Lu, Chun-An and Radović, Ivana and Stajcić, Aleksandar and Novaković, Igor and Vlahović, Branislav",
year = "2020",
abstract = "This research is focused on further developing of application and use of graph theory in order to describe relations between grains and to establish control over layers. We used functionalized BaTiO3 nanoparticles coated with Yttrium-based salt. The capacitance change results on super-microstructure levels are the part of the measured values on the bulk samples. The new idea is graph theory application for determination of electronic parameters distribution at the grain boundary and to compare them with the bulk measured values. We present them with vertices in graph, corresponding with grains, connected with edges. Capacitance change with applied voltage was measured on samples sintered in air and nitrogen, up to 100 V. Using graph theory, it has been shown that capacitance change can be successfully calculated on the layers between grains. Within the idea how to get parameters values at microlevel between the grains and pores, mathematical tool can be developed. Besides previously described 1D case, some original calculations for 2D cases were performed in this study, proving successful graph theory use for the calculation of values at nanolevel, leading to a further minituarization in micropackaging.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "Ceramics, materials, microelectronics and graph theory new frontiers",
number = "34",
volume = "34",
doi = "10.1142/S0217984921501591"
}

Randjelović, B. M., Mitić, V. V., Ribar, S., Lu, C., Radović, I., Stajcić, A., Novaković, I.,& Vlahović, B.. (2020). Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 34(34).
https://doi.org/10.1142/S0217984921501591

Randjelović BM, Mitić VV, Ribar S, Lu C, Radović I, Stajcić A, Novaković I, Vlahović B. Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B. 2020;34(34).
doi:10.1142/S0217984921501591 .

Randjelović, Branislav M., Mitić, Vojislav V., Ribar, Srđan, Lu, Chun-An, Radović, Ivana, Stajcić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Ceramics, materials, microelectronics and graph theory new frontiers" in Modern Physics Letters B, 34, no. 34 (2020),
https://doi.org/10.1142/S0217984921501591 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3351
AB  - This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
IS  - 35
VL  - 34
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chun-An and Radović, Ivana and Stajcić, Aleksandar and Novaković, Igor and Vlahović, Branislav",
year = "2020",
abstract = "This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
number = "35",
volume = "34",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Radović, I., Stajcić, A., Novaković, I.,& Vlahović, B.. (2020). Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 34(35).
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Randjelović BM, Lu C, Radović I, Stajcić A, Novaković I, Vlahović B. Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B. 2020;34(35).
doi:10.1142/S0217984921501724 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chun-An, Radović, Ivana, Stajcić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage" in Modern Physics Letters B, 34, no. 35 (2020),
https://doi.org/10.1142/S0217984921501724 . .

TY  - JOUR
AU  - Simić-Krstić, Jovana
AU  - Kalauzi, Aleksandar J.
AU  - Ribar, Srđan
AU  - Matija, Lidija
AU  - Misević, Gradimir N.
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1923
AB  - A non-invasive bioimpedance spectroscopy (BIS) and Cole-Cole impedance model parameters (R-0, R-infinity, tau and alpha) were used to analyze electrical properties of intact and stripped human skin for both gender subjects divided into younger and older age groups. R-0, R-infinity and tau significantly increased while a significantly decreased with age in stripped skin for both genders (p  lt  0.031). Using pooled data with respect to age, gender and skin stripping, R-0, R-infinity and t values were shown to increase with age (p  lt  0.0034), R-0, tau and alpha were different between genders (p  lt  0.024) and R-0, R-infinity and tau decreased with skin stripping (p  lt  0.000008). All of four Cole-Cole parameters were age dependent with specific differences observed for genders and intact and stripped skin layers. Therefore, Cole-Cole parameters, obtained by non-invasive BIS measurements, are a new type of age dependent biomarkers.
PB  - Pergamon-Elsevier Science Ltd, Oxford
T2  - Experimental Gerontology
T1  - Electrical properties of human skin as aging biomarkers
EP  - 167
SP  - 163
VL  - 57
DO  - 10.1016/j.exger.2014.06.001
ER  - 

@article{
author = "Simić-Krstić, Jovana and Kalauzi, Aleksandar J. and Ribar, Srđan and Matija, Lidija and Misević, Gradimir N.",
year = "2014",
abstract = "A non-invasive bioimpedance spectroscopy (BIS) and Cole-Cole impedance model parameters (R-0, R-infinity, tau and alpha) were used to analyze electrical properties of intact and stripped human skin for both gender subjects divided into younger and older age groups. R-0, R-infinity and tau significantly increased while a significantly decreased with age in stripped skin for both genders (p  lt  0.031). Using pooled data with respect to age, gender and skin stripping, R-0, R-infinity and t values were shown to increase with age (p  lt  0.0034), R-0, tau and alpha were different between genders (p  lt  0.024) and R-0, R-infinity and tau decreased with skin stripping (p  lt  0.000008). All of four Cole-Cole parameters were age dependent with specific differences observed for genders and intact and stripped skin layers. Therefore, Cole-Cole parameters, obtained by non-invasive BIS measurements, are a new type of age dependent biomarkers.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Experimental Gerontology",
title = "Electrical properties of human skin as aging biomarkers",
pages = "167-163",
volume = "57",
doi = "10.1016/j.exger.2014.06.001"
}

Simić-Krstić, J., Kalauzi, A. J., Ribar, S., Matija, L.,& Misević, G. N.. (2014). Electrical properties of human skin as aging biomarkers. in Experimental Gerontology
Pergamon-Elsevier Science Ltd, Oxford., 57, 163-167.
https://doi.org/10.1016/j.exger.2014.06.001

Simić-Krstić J, Kalauzi AJ, Ribar S, Matija L, Misević GN. Electrical properties of human skin as aging biomarkers. in Experimental Gerontology. 2014;57:163-167.
doi:10.1016/j.exger.2014.06.001 .

Simić-Krstić, Jovana, Kalauzi, Aleksandar J., Ribar, Srđan, Matija, Lidija, Misević, Gradimir N., "Electrical properties of human skin as aging biomarkers" in Experimental Gerontology, 57 (2014):163-167,
https://doi.org/10.1016/j.exger.2014.06.001 . .

TY  - JOUR
AU  - Simić-Krstić, Jovana
AU  - Kalauzi, Aleksandar J.
AU  - Ribar, Srđan
AU  - Lazović, Goran
AU  - Radojičić, R.
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1386
AB  - Bioimpedance spectroscopy (BIS) is a popular method for characterizing the electrical properties of biological tissues. In this study, BIS measurement data of female and male human skin were analyzed and compared. The electrical characteristics of tissue were followed according to four-parameters of the Cole-Cole model: low frequency resistance R0; high frequency resistance R∞; relaxation time t and parameter a. Individual electrical characteristics of human skin were determined for 30 women and 30 men. The distribution and one-way analysis of variance (one-way ANOVA) of the Cole-Cole parameters R0, R∞, t, a within the human population indicated their different dependence on gender. Parameter a, which is higher in the female subjects (a =0.83±0.03) than in the male subjects (a=0.7±0.05), is strongly dependent on gender (p=0). Parameter R∞ also significantly depends on gender (p=0.002), while t and R0 seem to be slightly related to gender (p>0.05).
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - Electrical characteristics of female and male human skin
EP  - 1171
IS  - 3
SP  - 1165
VL  - 64
DO  - 10.2298/ABS1203165S
ER  - 

@article{
author = "Simić-Krstić, Jovana and Kalauzi, Aleksandar J. and Ribar, Srđan and Lazović, Goran and Radojičić, R.",
year = "2012",
abstract = "Bioimpedance spectroscopy (BIS) is a popular method for characterizing the electrical properties of biological tissues. In this study, BIS measurement data of female and male human skin were analyzed and compared. The electrical characteristics of tissue were followed according to four-parameters of the Cole-Cole model: low frequency resistance R0; high frequency resistance R∞; relaxation time t and parameter a. Individual electrical characteristics of human skin were determined for 30 women and 30 men. The distribution and one-way analysis of variance (one-way ANOVA) of the Cole-Cole parameters R0, R∞, t, a within the human population indicated their different dependence on gender. Parameter a, which is higher in the female subjects (a =0.83±0.03) than in the male subjects (a=0.7±0.05), is strongly dependent on gender (p=0). Parameter R∞ also significantly depends on gender (p=0.002), while t and R0 seem to be slightly related to gender (p>0.05).",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "Electrical characteristics of female and male human skin",
pages = "1171-1165",
number = "3",
volume = "64",
doi = "10.2298/ABS1203165S"
}

Simić-Krstić, J., Kalauzi, A. J., Ribar, S., Lazović, G.,& Radojičić, R.. (2012). Electrical characteristics of female and male human skin. in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 64(3), 1165-1171.
https://doi.org/10.2298/ABS1203165S

Simić-Krstić J, Kalauzi AJ, Ribar S, Lazović G, Radojičić R. Electrical characteristics of female and male human skin. in Archives of Biological Sciences. 2012;64(3):1165-1171.
doi:10.2298/ABS1203165S .

Simić-Krstić, Jovana, Kalauzi, Aleksandar J., Ribar, Srđan, Lazović, Goran, Radojičić, R., "Electrical characteristics of female and male human skin" in Archives of Biological Sciences, 64, no. 3 (2012):1165-1171,
https://doi.org/10.2298/ABS1203165S . .

TY  - CONF
AU  - Tomić, A.
AU  - Bandić, J.
AU  - Ribar, Srđan
AU  - Tomić, M.
AU  - Mladenović, D.
PY  - 2011
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1306
PB  - Scientific Society for Mechanical Engineering
C3  - 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011
T1  - Estimation of skin stretch and elasticity by optomagnetic method
EP  - 100
SP  - 99
UR  - https://hdl.handle.net/21.15107/rcub_machinery_1306
ER  - 

@conference{
author = "Tomić, A. and Bandić, J. and Ribar, Srđan and Tomić, M. and Mladenović, D.",
year = "2011",
publisher = "Scientific Society for Mechanical Engineering",
journal = "28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011",
title = "Estimation of skin stretch and elasticity by optomagnetic method",
pages = "100-99",
url = "https://hdl.handle.net/21.15107/rcub_machinery_1306"
}

Tomić, A., Bandić, J., Ribar, S., Tomić, M.,& Mladenović, D.. (2011). Estimation of skin stretch and elasticity by optomagnetic method. in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011
Scientific Society for Mechanical Engineering., 99-100.
https://hdl.handle.net/21.15107/rcub_machinery_1306

Tomić A, Bandić J, Ribar S, Tomić M, Mladenović D. Estimation of skin stretch and elasticity by optomagnetic method. in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011. 2011;:99-100.
https://hdl.handle.net/21.15107/rcub_machinery_1306 .

Tomić, A., Bandić, J., Ribar, Srđan, Tomić, M., Mladenović, D., "Estimation of skin stretch and elasticity by optomagnetic method" in 28th Danubia - Adria - Symposium on Advances in Experimental Mechanics, DAS 2011 (2011):99-100,
https://hdl.handle.net/21.15107/rcub_machinery_1306 .

TY  - CONF
AU  - Koruga, Đuro
AU  - Miljković, S.
AU  - Ribar, Srđan
AU  - Matija, Lidija
AU  - Kojić, Dušan
PY  - 2010
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1020
AB  - Hydrogen bond has dual property, classical (electrostatic interaction based on Coulomb's law) and quantum (wave function based on Schrodinger equation). Since Planck's constant is one of the main criteria for decision which process is quantum, or how much is close to be quantum, we use electrical and magnetic forces of valence electrons, as point of departure, to develop method for opto-magnetic fingerprint of matter. During the study of different type of matter we observed phenomena from spectral convolution data of digital images which characterize matter from both covalent and non-covalent bonding. Since water is matter that is most abundant with hydrogen bonds, we present results of 18.2 M Omega water investigation on different temperature and under influence of constant and variable magnetic fields by opto-magnetic method. Bearing in mind that Linus Pauling, in his book Nature of the Chemical Bond (Cornel University Press, 1939), for the first time presented the systematic concept of the hydrogen bond to the molecular world and its machinery, this paper is written in honor to him and 70th anniversary of one of the most important scientific paradigm.
PB  - Polish Academy of Sciences
C3  - Acta Physica Polonica A
T1  - Water Hydrogen Bonds Study by Opto-Magnetic Fingerprint Technique
EP  - 781
IS  - 5
SP  - 777
VL  - 117
DO  - 10.12693/APhysPolA.117.777
ER  - 

@conference{
author = "Koruga, Đuro and Miljković, S. and Ribar, Srđan and Matija, Lidija and Kojić, Dušan",
year = "2010",
abstract = "Hydrogen bond has dual property, classical (electrostatic interaction based on Coulomb's law) and quantum (wave function based on Schrodinger equation). Since Planck's constant is one of the main criteria for decision which process is quantum, or how much is close to be quantum, we use electrical and magnetic forces of valence electrons, as point of departure, to develop method for opto-magnetic fingerprint of matter. During the study of different type of matter we observed phenomena from spectral convolution data of digital images which characterize matter from both covalent and non-covalent bonding. Since water is matter that is most abundant with hydrogen bonds, we present results of 18.2 M Omega water investigation on different temperature and under influence of constant and variable magnetic fields by opto-magnetic method. Bearing in mind that Linus Pauling, in his book Nature of the Chemical Bond (Cornel University Press, 1939), for the first time presented the systematic concept of the hydrogen bond to the molecular world and its machinery, this paper is written in honor to him and 70th anniversary of one of the most important scientific paradigm.",
publisher = "Polish Academy of Sciences",
journal = "Acta Physica Polonica A",
title = "Water Hydrogen Bonds Study by Opto-Magnetic Fingerprint Technique",
pages = "781-777",
number = "5",
volume = "117",
doi = "10.12693/APhysPolA.117.777"
}

Koruga, Đ., Miljković, S., Ribar, S., Matija, L.,& Kojić, D.. (2010). Water Hydrogen Bonds Study by Opto-Magnetic Fingerprint Technique. in Acta Physica Polonica A
Polish Academy of Sciences., 117(5), 777-781.
https://doi.org/10.12693/APhysPolA.117.777

Koruga Đ, Miljković S, Ribar S, Matija L, Kojić D. Water Hydrogen Bonds Study by Opto-Magnetic Fingerprint Technique. in Acta Physica Polonica A. 2010;117(5):777-781.
doi:10.12693/APhysPolA.117.777 .

Koruga, Đuro, Miljković, S., Ribar, Srđan, Matija, Lidija, Kojić, Dušan, "Water Hydrogen Bonds Study by Opto-Magnetic Fingerprint Technique" in Acta Physica Polonica A, 117, no. 5 (2010):777-781,
https://doi.org/10.12693/APhysPolA.117.777 . .

TY  - JOUR
AU  - Dramićanin, Miroslav 
AU  - Zeković, Ivana
AU  - Dimitrijević, B.
AU  - Ribar, Srđan
AU  - Dramićanin, Miroslav 
PY  - 2009
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/973
AB  - Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80 degrees C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.
PB  - Polish Acad Sciences Inst Physics, Warsaw
T2  - Acta Physica Polonica A
T1  - Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data
EP  - 692
IS  - 4
SP  - 690
VL  - 116
DO  - 10.12693/APhysPolA.116.690
ER  - 

@article{
author = "Dramićanin, Miroslav  and Zeković, Ivana and Dimitrijević, B. and Ribar, Srđan and Dramićanin, Miroslav ",
year = "2009",
abstract = "Supervised self-organizing map, a type of artificial neural network, is applied for classification of human breast tissue samples utilizing data obtained from fluorescence landscape measurements. Female breast tissue samples were taken soon after the surgical resection, identified and stored at -80 degrees C until fluorescence measurements. From fluorescence landscapes obtained in UV-VIS region spectral features showing statistically significant differences between malignant and normal samples are identified and further quantified to serve as a training input to neural network. Additional set of samples was used as a test group input to trained network in order to evaluate performance of proposed optical biopsy method. Classification sensitivity of 83.9% and specificity of 88.9% are found.",
publisher = "Polish Acad Sciences Inst Physics, Warsaw",
journal = "Acta Physica Polonica A",
title = "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data",
pages = "692-690",
number = "4",
volume = "116",
doi = "10.12693/APhysPolA.116.690"
}

Dramićanin, M., Zeković, I., Dimitrijević, B., Ribar, S.,& Dramićanin, M.. (2009). Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data. in Acta Physica Polonica A
Polish Acad Sciences Inst Physics, Warsaw., 116(4), 690-692.
https://doi.org/10.12693/APhysPolA.116.690

Dramićanin M, Zeković I, Dimitrijević B, Ribar S, Dramićanin M. Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data. in Acta Physica Polonica A. 2009;116(4):690-692.
doi:10.12693/APhysPolA.116.690 .

Dramićanin, Miroslav , Zeković, Ivana, Dimitrijević, B., Ribar, Srđan, Dramićanin, Miroslav , "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data" in Acta Physica Polonica A, 116, no. 4 (2009):690-692,
https://doi.org/10.12693/APhysPolA.116.690 . .

TY  - JOUR
AU  - Ribar, Srđan
AU  - Dramićanin, Miroslav 
AU  - Dramićanin, Tatjana
AU  - Matija, Lidija
PY  - 2006
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/630
AB  - Primenjena je samoorganizujuća neuronska mreža pri analizi podataka luminescencije raka dojke. Ulazni podaci su trodimenzionalni vektori koji predstavljaju normalno i maligno humano tkivo. Analizirana je mogućnost klasifikacije podataka u dve grupe. Mreža je zadovoljavajuće obavila klasifikaciju ulaznih podataka.
AB  - Self-organizing mapping neural networks are applied in the analysis of breast cancer luminescence data. Data consist of three dimensional vectors presenting normal and malignant human tissue. The possibility of such data classification in two groups (normal and malignant tissue) is analyzed. The network performed successful classification.
PB  - Univerzitet u Beogradu - Mašinski fakultet, Beograd
T2  - FME Transactions
T1  - Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže
T1  - Classification of breast cancer luminescence data using self-organizing mapping neural network
EP  - 91
IS  - 2
SP  - 87
VL  - 34
UR  - https://hdl.handle.net/21.15107/rcub_machinery_630
ER  - 

@article{
author = "Ribar, Srđan and Dramićanin, Miroslav  and Dramićanin, Tatjana and Matija, Lidija",
year = "2006",
abstract = "Primenjena je samoorganizujuća neuronska mreža pri analizi podataka luminescencije raka dojke. Ulazni podaci su trodimenzionalni vektori koji predstavljaju normalno i maligno humano tkivo. Analizirana je mogućnost klasifikacije podataka u dve grupe. Mreža je zadovoljavajuće obavila klasifikaciju ulaznih podataka., Self-organizing mapping neural networks are applied in the analysis of breast cancer luminescence data. Data consist of three dimensional vectors presenting normal and malignant human tissue. The possibility of such data classification in two groups (normal and malignant tissue) is analyzed. The network performed successful classification.",
publisher = "Univerzitet u Beogradu - Mašinski fakultet, Beograd",
journal = "FME Transactions",
title = "Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže, Classification of breast cancer luminescence data using self-organizing mapping neural network",
pages = "91-87",
number = "2",
volume = "34",
url = "https://hdl.handle.net/21.15107/rcub_machinery_630"
}

Ribar, S., Dramićanin, M., Dramićanin, T.,& Matija, L.. (2006). Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže. in FME Transactions
Univerzitet u Beogradu - Mašinski fakultet, Beograd., 34(2), 87-91.
https://hdl.handle.net/21.15107/rcub_machinery_630

Ribar S, Dramićanin M, Dramićanin T, Matija L. Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže. in FME Transactions. 2006;34(2):87-91.
https://hdl.handle.net/21.15107/rcub_machinery_630 .

Ribar, Srđan, Dramićanin, Miroslav , Dramićanin, Tatjana, Matija, Lidija, "Klasifikacija podataka dobijenih luminescencijom raka dojke pomoću samo-organizujuće neuronske mreže" in FME Transactions, 34, no. 2 (2006):87-91,
https://hdl.handle.net/21.15107/rcub_machinery_630 .

TY  - CONF
AU  - Koruga, Đuro
AU  - Ribar, Srđan
AU  - Ratkaj, Z
AU  - Radonjić, M
AU  - Matija, Lidija
PY  - 2004
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/400
AB  - Human brain acts as very efficient parallel classical-quantum communications system related responses to a multitude of input signals from sensors. Despite the great advances in understanding the biochemistry and molecular biology of the cell in recent years, the mechanisms of the quantum communication channel in the brain remain a mystery. Since matter and energy cannot be teleported, in sence to transfer from one place to another without passing trough intermediate locations, teleportation of quantum states, asultimate structure of objects, is possible. Only the structure, information about conformation stale, is teleported-the matter stays, at the source side and has, to be alredy present at the final location. From this point of view we consider a new type of networks in brain based on unity of cllassical and quantum neural-astrocyte network. Matter and energy (classical channel) and classical quantum information travel trough neurons, while trough astrocyte-neuron loop travel classical quantum and non-classical quantum information. New type of network is, synergetic one with quite new energy-information properties then classical neuron networks.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL
T1  - Synergy of classical and quantum communications channels in brain: Neuron-astrocyte network
EP  - 182
SP  - 177
UR  - https://hdl.handle.net/21.15107/rcub_machinery_400
ER  - 

@conference{
author = "Koruga, Đuro and Ribar, Srđan and Ratkaj, Z and Radonjić, M and Matija, Lidija",
year = "2004",
abstract = "Human brain acts as very efficient parallel classical-quantum communications system related responses to a multitude of input signals from sensors. Despite the great advances in understanding the biochemistry and molecular biology of the cell in recent years, the mechanisms of the quantum communication channel in the brain remain a mystery. Since matter and energy cannot be teleported, in sence to transfer from one place to another without passing trough intermediate locations, teleportation of quantum states, asultimate structure of objects, is possible. Only the structure, information about conformation stale, is teleported-the matter stays, at the source side and has, to be alredy present at the final location. From this point of view we consider a new type of networks in brain based on unity of cllassical and quantum neural-astrocyte network. Matter and energy (classical channel) and classical quantum information travel trough neurons, while trough astrocyte-neuron loop travel classical quantum and non-classical quantum information. New type of network is, synergetic one with quite new energy-information properties then classical neuron networks.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL",
title = "Synergy of classical and quantum communications channels in brain: Neuron-astrocyte network",
pages = "182-177",
url = "https://hdl.handle.net/21.15107/rcub_machinery_400"
}

Koruga, Đ., Ribar, S., Ratkaj, Z., Radonjić, M.,& Matija, L.. (2004). Synergy of classical and quantum communications channels in brain: Neuron-astrocyte network. in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL
Institute of Electrical and Electronics Engineers Inc.., 177-182.
https://hdl.handle.net/21.15107/rcub_machinery_400

Koruga Đ, Ribar S, Ratkaj Z, Radonjić M, Matija L. Synergy of classical and quantum communications channels in brain: Neuron-astrocyte network. in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL. 2004;:177-182.
https://hdl.handle.net/21.15107/rcub_machinery_400 .

Koruga, Đuro, Ribar, Srđan, Ratkaj, Z, Radonjić, M, Matija, Lidija, "Synergy of classical and quantum communications channels in brain: Neuron-astrocyte network" in 2004 Seventh Seminar on Neural Network Applications in Electrical Engineering - Proceedings, NEUREL (2004):177-182,
https://hdl.handle.net/21.15107/rcub_machinery_400 .