TY  - CHAP
AU  - Ranđelović, Branislav
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Čebela, Maria
AU  - Mohr, Markus
AU  - Fecht, Hans-Jörg
AU  - Vlahović, Branislav
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10593
AB  - There is an important novelty in biomaterials by innovative potential based on (ultra)nanocrystalline diamonds, what is almost the new result in scientific world, from the Institute of Functional Nanosystems, from Ulm University. The nanosynthetized diamonds are very new frontier application from the area biomedicine. From the other side, there is evident biocompatibility of the diamond layers, selectively improved by biomimetic 3D patterns structuring. From this point of view, graph theory approach is very inspirable new idea, already applied in some other systems, within material sciences, and electronic ceramics. By graphs, we already confirmed, also the first time in material sciences, that we can easily define the parameters values on the microstructure level between the structure constituencies grains and pores. So, now we originally apply all of this on the synthetized diamond structures. This novelty, graph applications, has the great importance in getting the additional ideas and directions for phenomena analysis of electrical and thermal conductivity grow, while electroconductivity goes down and opposite, better understanding. We already have done some analysis in this field by fractal nature approach, but here we add new methods based on very original graph theory.
T2  - Bioceramics, Biomimetic and Other Compatible Materials Features for Medical Applications
T1  - Graph Theory Approach in Synthetized Diamonds Electrophysical Parameters Defining
SP  - 345
EP  - 358
DO  - 10.1007/978-3-031-17269-4_17
ER  - 

@inbook{
author = "Ranđelović, Branislav and Mitić, Vojislav V. and Ribar, Srđan and Čebela, Maria and Mohr, Markus and Fecht, Hans-Jörg and Vlahović, Branislav",
year = "2023",
abstract = "There is an important novelty in biomaterials by innovative potential based on (ultra)nanocrystalline diamonds, what is almost the new result in scientific world, from the Institute of Functional Nanosystems, from Ulm University. The nanosynthetized diamonds are very new frontier application from the area biomedicine. From the other side, there is evident biocompatibility of the diamond layers, selectively improved by biomimetic 3D patterns structuring. From this point of view, graph theory approach is very inspirable new idea, already applied in some other systems, within material sciences, and electronic ceramics. By graphs, we already confirmed, also the first time in material sciences, that we can easily define the parameters values on the microstructure level between the structure constituencies grains and pores. So, now we originally apply all of this on the synthetized diamond structures. This novelty, graph applications, has the great importance in getting the additional ideas and directions for phenomena analysis of electrical and thermal conductivity grow, while electroconductivity goes down and opposite, better understanding. We already have done some analysis in this field by fractal nature approach, but here we add new methods based on very original graph theory.",
journal = "Bioceramics, Biomimetic and Other Compatible Materials Features for Medical Applications",
booktitle = "Graph Theory Approach in Synthetized Diamonds Electrophysical Parameters Defining",
pages = "345-358",
doi = "10.1007/978-3-031-17269-4_17"
}

Ranđelović, B., Mitić, V. V., Ribar, S., Čebela, M., Mohr, M., Fecht, H.,& Vlahović, B.. (2023). Graph Theory Approach in Synthetized Diamonds Electrophysical Parameters Defining. in Bioceramics, Biomimetic and Other Compatible Materials Features for Medical Applications, 345-358.
https://doi.org/10.1007/978-3-031-17269-4_17

Ranđelović B, Mitić VV, Ribar S, Čebela M, Mohr M, Fecht H, Vlahović B. Graph Theory Approach in Synthetized Diamonds Electrophysical Parameters Defining. in Bioceramics, Biomimetic and Other Compatible Materials Features for Medical Applications. 2023;:345-358.
doi:10.1007/978-3-031-17269-4_17 .

Ranđelović, Branislav, Mitić, Vojislav V., Ribar, Srđan, Čebela, Maria, Mohr, Markus, Fecht, Hans-Jörg, Vlahović, Branislav, "Graph Theory Approach in Synthetized Diamonds Electrophysical Parameters Defining" in Bioceramics, Biomimetic and Other Compatible Materials Features for Medical Applications (2023):345-358,
https://doi.org/10.1007/978-3-031-17269-4_17 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ranđelović, Branislav M.
AU  - Ribar, Srđan
AU  - Čebela, Maria
AU  - Mohr, Markus
AU  - Vlahović, Branislav
AU  - Fecht, Hans
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10305
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.
T2  - Thermal Science
T1  - Thermal parameters defined with graph theory approach in synthetized diamonds
VL  - 26
IS  - 3 Part A
SP  - 2177
EP  - 2186
DO  - 10.2298/TSCI210422284M
ER  - 

@article{
author = "Mitić, Vojislav V. and Ranđelović, Branislav M. and Ribar, Srđan and Čebela, Maria and Mohr, Markus and Vlahović, Branislav and Fecht, Hans",
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.",
journal = "Thermal Science",
title = "Thermal parameters defined with graph theory approach in synthetized diamonds",
volume = "26",
number = "3 Part A",
pages = "2177-2186",
doi = "10.2298/TSCI210422284M"
}

Mitić, V. V., Ranđelović, B. M., Ribar, S., Čebela, M., Mohr, M., Vlahović, B.,& Fecht, H.. (2022). Thermal parameters defined with graph theory approach in synthetized diamonds. in Thermal Science, 26(3 Part A), 2177-2186.
https://doi.org/10.2298/TSCI210422284M

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

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

TY  - CONF
AU  - Radović, Ivana M.
AU  - Mitić, Vojislav V.
AU  - Stajčić, Aleksandar
AU  - Serpa, Cristina
AU  - Ribar, Srđan
AU  - Ranđelović, Branislav
AU  - Vlahović, Branislav
PY  - 2021
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10787
AB  - Polymers offer the possibility of different reinforcement incorporation due to a broad range of chemical structures.Along with this feature, their light weight and processing ease made them a class of materials that have been applied in construction parts, drug delivery agents or electronic devices. Epoxy-based composites have used as insulators in microelectronic devices due to its chemical resistance, good adhesion properties and endurance. As epoxies have low fracture resistance, they are often reinforced with different kinds of fibers.With thorough knowledge of the structure, physical properties can be predicted and included in the processing of future composites, especially that electronic materials minituarization brought micro- and nanoscale level properties at spotlight. Fractal nature analysis is a mathematical method that has proved to be efficient in grain interface properties applied on perovskite ceramic materials.In our study, fiber shape reconstruction and determination of Hausdorff dimension have been achieved with the application of fractal regression model employed in software Fractal Real Finder opening a new path for the prediction of reinforcement shape and size, all with the aim of processing composite materials with desired properties.
PB  - Belgrade : Serbian Ceramic Society
C3  - Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade
T1  - Fractal reconstruction of fiber-reinforced polymer composites
SP  - 49
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10787
ER  - 

@conference{
author = "Radović, Ivana M. and Mitić, Vojislav V. and Stajčić, Aleksandar and Serpa, Cristina and Ribar, Srđan and Ranđelović, Branislav and Vlahović, Branislav",
year = "2021",
abstract = "Polymers offer the possibility of different reinforcement incorporation due to a broad range of chemical structures.Along with this feature, their light weight and processing ease made them a class of materials that have been applied in construction parts, drug delivery agents or electronic devices. Epoxy-based composites have used as insulators in microelectronic devices due to its chemical resistance, good adhesion properties and endurance. As epoxies have low fracture resistance, they are often reinforced with different kinds of fibers.With thorough knowledge of the structure, physical properties can be predicted and included in the processing of future composites, especially that electronic materials minituarization brought micro- and nanoscale level properties at spotlight. Fractal nature analysis is a mathematical method that has proved to be efficient in grain interface properties applied on perovskite ceramic materials.In our study, fiber shape reconstruction and determination of Hausdorff dimension have been achieved with the application of fractal regression model employed in software Fractal Real Finder opening a new path for the prediction of reinforcement shape and size, all with the aim of processing composite materials with desired properties.",
publisher = "Belgrade : Serbian Ceramic Society",
journal = "Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade",
title = "Fractal reconstruction of fiber-reinforced polymer composites",
pages = "49",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10787"
}

Radović, I. M., Mitić, V. V., Stajčić, A., Serpa, C., Ribar, S., Ranđelović, B.,& Vlahović, B.. (2021). Fractal reconstruction of fiber-reinforced polymer composites. in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade
Belgrade : Serbian Ceramic Society., 49.
https://hdl.handle.net/21.15107/rcub_vinar_10787

Radović IM, Mitić VV, Stajčić A, Serpa C, Ribar S, Ranđelović B, Vlahović B. Fractal reconstruction of fiber-reinforced polymer composites. in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade. 2021;:49.
https://hdl.handle.net/21.15107/rcub_vinar_10787 .

Radović, Ivana M., Mitić, Vojislav V., Stajčić, Aleksandar, Serpa, Cristina, Ribar, Srđan, Ranđelović, Branislav, Vlahović, Branislav, "Fractal reconstruction of fiber-reinforced polymer composites" in Advanced Ceramics and Application : 9th Serbian Ceramic Society Conference : program and the book of abstracts; September 20-21, 2021; Belgrade (2021):49,
https://hdl.handle.net/21.15107/rcub_vinar_10787 .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana M.
AU  - Stajčić, Aleksandar
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9728
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.
T2  - Integrated Ferroelectrics
T1  - The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination
VL  - 212
IS  - 1
SP  - 135
EP  - 146
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 M. and Stajčić, 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.",
journal = "Integrated Ferroelectrics",
title = "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination",
volume = "212",
number = "1",
pages = "135-146",
doi = "10.1080/10584587.2020.1819042"
}

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

Mitić VV, Lazović G, Ribar S, Lu C, Radović IM, Stajčić 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 M., Stajčić, 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  - Ranđelović, Branislav M.
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana M.
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9763
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.
T2  - Modern Physics Letters B
T1  - Ceramics, materials, microelectronics and graph theory new frontiers
VL  - 34
SP  - 2150159
DO  - 10.1142/S0217984921501591
ER  - 

@article{
author = "Ranđelović, Branislav M. and Mitić, Vojislav V. and Ribar, Srđan and Lu, Chun-An and Radović, Ivana M. and Stajčić, 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.",
journal = "Modern Physics Letters B",
title = "Ceramics, materials, microelectronics and graph theory new frontiers",
volume = "34",
pages = "2150159",
doi = "10.1142/S0217984921501591"
}

Ranđelović, B. M., Mitić, V. V., Ribar, S., Lu, C., Radović, I. M., Stajčić, A., Novaković, I.,& Vlahović, B.. (2020). Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B, 34, 2150159.
https://doi.org/10.1142/S0217984921501591

Ranđelović BM, Mitić VV, Ribar S, Lu C, Radović IM, Stajčić A, Novaković I, Vlahović B. Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B. 2020;34:2150159.
doi:10.1142/S0217984921501591 .

Ranđelović, Branislav M., Mitić, Vojislav V., Ribar, Srđan, Lu, Chun-An, Radović, Ivana M., Stajčić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Ceramics, materials, microelectronics and graph theory new frontiers" in Modern Physics Letters B, 34 (2020):2150159,
https://doi.org/10.1142/S0217984921501591 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Ranđelović, Branislav M.
AU  - Lu, Chunan
AU  - Radović, Ivana M.
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9792
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. © 2020 World Scientific Publishing Company.
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
VL  - 34
IS  - 35
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Ranđelović, Branislav M. and Lu, Chunan and Radović, Ivana M. and Stajčić, 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. © 2020 World Scientific Publishing Company.",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
volume = "34",
number = "35",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Ranđelović, B. M., Lu, C., Radović, I. M., Stajčić, 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, 34(35).
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Ranđelović BM, Lu C, Radović IM, Stajčić 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, Ranđelović, Branislav M., Lu, Chunan, Radović, Ivana M., Stajčić, 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  - Dramićanin, Tatjana
AU  - Zeković, Ivana Lj.
AU  - Dimitrijević, Bogomir B.
AU  - Ribar, Srđan
AU  - Dramićanin, Miroslav
PY  - 2009
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/6848
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.
T2  - Acta Physica Polonica A
T1  - Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data
VL  - 116
IS  - 4
SP  - 690
EP  - 692
DO  - 10.12693/APhysPolA.116.690
ER  - 

@article{
author = "Dramićanin, Tatjana and Zeković, Ivana Lj. and Dimitrijević, Bogomir 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.",
journal = "Acta Physica Polonica A",
title = "Optical Biopsy Method for Breast Cancer Diagnosis Based on Artificial Neural Network Classification of Fluorescence Landscape Data",
volume = "116",
number = "4",
pages = "690-692",
doi = "10.12693/APhysPolA.116.690"
}

Dramićanin, T., Zeković, I. Lj., Dimitrijević, B. 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, 116(4), 690-692.
https://doi.org/10.12693/APhysPolA.116.690

Dramićanin T, Zeković IL, Dimitrijević BB, 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, Tatjana, Zeković, Ivana Lj., Dimitrijević, Bogomir 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 . .