TY  - JOUR
AU  - Zhang, Jinao
AU  - Shin, Jaehyun
AU  - Zhong, Yongmin
AU  - Oetomo, Denny
AU  - Gu, Chengfan
TI  - Heat conduction-based methodology for nonlinear soft tissue deformation
JF  - INTERNATIONAL JOURNAL ON INTERACTIVE DESIGN AND MANUFACTURING
J2  - IJIDEM
VL  - 13
PY  - 2019
IS  - 1
SP  - 147
EP  - 161
PG  - 15
SN  - 1955-2513
DO  - 10.1007/s12008-018-0486-4
UR  - https://m2.mtmt.hu/api/publication/30901556
ID  - 30901556
AB  - Modelling of interactions of soft tissues with surgical tools is a fundamental issue in interactive surgical simulation. This paper presents a new methodology for modelling of nonlinear characteristics of soft tissue deformation for interactive surgical simulation. The proposed methodology formulates soft tissue deformation as a process of energy propagation; the mechanical load applied to soft tissues to cause deformation is treated as the equivalent thermal energy according to the conservation law of energy and further distributed among masses of soft tissues in the manner of heat conduction. Heat conduction of mechanical load and non-rigid mechanics of motion are combined to conduct soft tissue deformation. To obtain real-time computational performance, cellular neural networks are developed for both propagation of mechanical load and non-rigid mechanical dynamics, leading to novel neural network models embedded with deformation mechanics and physical dynamics for interactive soft tissue simulation. Real-time force interaction is also achieved with an integration of a haptic device via force input, soft tissue deformation, and force feedback. Simulations and experimental results demonstrate the proposed methodology exhibits the typical mechanical behaviour of soft tissues and accepts nonlinear soft tissue deformation. It can also accommodate isotropic and homogeneous, anisotropic, and heterogeneous materials by a simple modification of thermal conductivity values of mass points.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zhang, Jinao
AU  - Zhong, Yongmin
AU  - Smith, Julian
AU  - Gu, Chengfan
TI  - Neural dynamics-based Poisson propagation for deformable modelling
JF  - NEURAL COMPUTING & APPLICATIONS
J2  - NEURAL COMPUT APPL
VL  - 31
PY  - 2019
SP  - 1091
EP  - 1101
PG  - 11
SN  - 0941-0643
DO  - 10.1007/s00521-017-3132-3
UR  - https://m2.mtmt.hu/api/publication/30901555
ID  - 30901555
AB  - This paper presents a new methodology from the standpoint of energy propagation for real-time and nonlinear modelling of deformable objects. It formulates the deformation process of a soft object as a process of energy propagation, in which the mechanical load applied to the object to cause deformation is viewed as the equivalent potential energy based on the law of conservation of energy and is further propagated among masses of the object based on the nonlinear Poisson propagation. Poisson propagation of mechanical load in conjunction with non-rigid mechanics of motion is developed to govern the dynamics of soft object deformation. Further, these two governing processes are modelled with cellular neural networks to achieve real-time computational performance. A prototype simulation system with a haptic device is implemented for real-time simulation of deformable objects with haptic feedback. Simulations, experiments as well as comparisons demonstrate that the proposed methodology exhibits nonlinear force-displacement relationship, capable of modelling large-range deformation. It can also accommodate homogeneous, anisotropic and heterogeneous materials by simply changing the constitutive coefficient value of mass points.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zhang, Jinao
AU  - Chauhan, Sunita
TI  - Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications
JF  - ARTIFICIAL INTELLIGENCE IN MEDICINE
J2  - ARTIF INTELL MED
VL  - 101
PY  - 2019
PG  - 9
SN  - 0933-3657
DO  - 10.1016/j.artmed.2019.101728
UR  - https://m2.mtmt.hu/api/publication/31568951
ID  - 31568951
N1  - Funding Agency and Grant Number: Australian National Health and Medical Research Council (NHMRC) [1093314]
            Funding text: This work is funded by the Australian National Health and Medical Research Council (NHMRC) Grant 1093314.
AB  - Real-time simulation of bio-heat transfer can improve surgical feedback in thermo-therapeutic treatment, leading to technical innovations to surgical process and improvements to patient outcomes; however, it is challenging to achieve real-time computational performance by conventional methods. This paper presents a cellular neural network (CNN) methodology for fast and real-time modelling of bio-heat transfer with medical applications in thermo-therapeutic treatment. It formulates nonlinear dynamics of the bio-heat transfer process and spatially discretised bio-heat transfer equation as the nonlinear neural dynamics and local neural connectivity of CNN, respectively. The proposed CNN methodology considers three-dimensional (3-D) volumetric bio-heat transfer behaviour in tissue and applies the concept of control volumes for discretisation of the Pennes bio-heat transfer equation on 3-D irregular grids, leading to novel neural network models embedded with bio-heat transfer mechanism for computation of tissue temperature and associated thermal dose. Simulations and comparative analyses demonstrate that the proposed CNN models can achieve good agreement with the commercial finite element analysis package, ABAQUS/CAE, in numerical accuracy and reduce computation time by 304 and 772.86 times compared to those of with and without ABAQUS parallel execution, far exceeding the computational performance of the commercial finite element codes. The medical application is demonstrated using a high-intensity focused ultrasound (HIFU)-based thermal ablation of hepatic cancer for prediction of tissue temperature and estimation of thermal dose.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zhang, Jinao
AU  - Zhong, Yongmin
AU  - Gu, Chengfan
TI  - Neural network modelling of soft tissue deformation for surgical simulation
JF  - ARTIFICIAL INTELLIGENCE IN MEDICINE
J2  - ARTIF INTELL MED
VL  - 97
PY  - 2019
SP  - 61
EP  - 70
PG  - 10
SN  - 0933-3657
DO  - 10.1016/j.artmed.2018.11.001
UR  - https://m2.mtmt.hu/api/publication/30901539
ID  - 30901539
AB  - This paper presents a new neural network methodology for modelling of soft tissue deformation for surgical simulation. The proposed methodology formulates soft tissue deformation and its dynamics as the neural propagation and dynamics of cellular neural networks for real-time, realistic, and stable simulation of soft tissue deformation. It develops two cellular neural network models; based on the bioelectric propagation of biological tissues and principles of continuum mechanics, one cellular neural network model is developed for propagation and distribution of mechanical load in soft tissues; based on non-rigid mechanics of motion in continuum mechanics, the other cellular neural network model is developed for governing model dynamics of soft tissue deformation. The proposed methodology not only has computational advantage due to the collective and simultaneous activities of neural cells to satisfy the real-time computational requirement of surgical simulation, but also it achieves physical realism of soft tissue deformation according to the bioelectric propagation manner of mechanical load via dynamic neural activities. Furthermore, the proposed methodology also provides stable model dynamics for soft tissue deformation via the nonlinear property of the cellular neural network. Interactive soft tissue deformation with haptic feedback is achieved via a haptic device. Simulations and experimental results show the proposed methodology exhibits the nonlinear force-displacement relationship and associated nonlinear deformation of soft tissues. Furthermore, not only isotropic and homogeneous but also anisotropic and heterogeneous materials can be modelled via a simple modification of electrical conductivity. values of mass points.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Danciu, Daniela
AU  - Popescu, Dan
AU  - Bobasu, Eugen
TI  - Neural Networks-Based Computational Modeling of Bilinear Control Systems for Conservation Laws: Application to the Control of Cogeneration
JF  - IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
J2  - IEEE T IND APPL
VL  - 54
PY  - 2018
IS  - 6
SP  - 6498
EP  - 6507
PG  - 10
SN  - 0093-9994
DO  - 10.1109/TIA.2018.2855171
UR  - https://m2.mtmt.hu/api/publication/30462751
ID  - 30462751
AB  - This paper considers the computational modeling of the class of bilinear control systems for hyperbolic conservation laws with nonstandard boundary conditions. These systems arise from (control) engineering applications of systems displaying propagation phenomena, i.e., integrating steam, water, and gas pipes. The aim of this paper is achieved by means of a systematic computational procedure previously introduced and adapted here for the class of systems under consideration. The procedure, based on a convergent Method of Lines ensures the convergence of the approximate numerical solution and also the preservation of the basic properties of the "true" solution as well as its Lyapunov stability. Thus, the approximate computational model allows numerical quantitative and qualitative analysis relevant to a specific problem. The computational efficiency of the procedure is ensured by its implementation based on some, possibly massively, parallel-structured devices belonging to the Artificial Intelligence field-the cell-based recurrent neural networks. As a case study, we consider a control system occurring in the cogeneration process (combined heat and electricity generation). A comparison between the results of the qualitative analysis and those of the numerical simulations demonstrates the correctness and effectiveness of the computational procedure for the dynamics and transients analysis. The paper ends with some conclusions and a list of open problems.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zhang, Jinao
AU  - Zhong, Yongmin
AU  - Gu, Chengfan
TI  - Soft tissue deformation modelling through neural dynamics-based reaction-diffusion mechanics
JF  - MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING
J2  - MED BIOL ENG COMPUT
VL  - 56
PY  - 2018
IS  - 12
SP  - 2163
EP  - 2176
PG  - 14
SN  - 0140-0118
DO  - 10.1007/s11517-018-1849-5
UR  - https://m2.mtmt.hu/api/publication/30462750
ID  - 30462750
AB  - Soft tissue deformation modelling forms the basis of development of surgical simulation, surgical planning and robotic-assisted minimally invasive surgery. This paper presents a new methodology for modelling of soft tissue deformation based on reaction-diffusion mechanics via neural dynamics. The potential energy stored in soft tissues due to a mechanical load to deform tissues away from their rest state is treated as the equivalent transmembrane potential energy, and it is distributed in the tissue masses in the manner of reaction-diffusion propagation of nonlinear electrical waves. The reaction-diffusion propagation of mechanical potential energy and nonrigid mechanics of motion are combined to model soft tissue deformation and its dynamics, both of which are further formulated as the dynamics of cellular neural networks to achieve real-time computational performance. The proposed methodology is implemented with a haptic device for interactive soft tissue deformation with force feedback. Experimental results demonstrate that the proposed methodology exhibits nonlinear force-displacement relationship for nonlinear soft tissue deformation. Homogeneous, anisotropic and heterogeneous soft tissue material properties can be modelled through the inherent physical properties of mass points.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Zhang, Jinao
AU  - Zhong, Yongmin
AU  - Smith, Julian
AU  - Gu, Chengfan
TI  - Cellular neural network modelling of soft tissue dynamics for surgical simulation
JF  - TECHNOLOGY AND HEALTH CARE
J2  - TECHNOL HEALTH CARE
VL  - 25
PY  - 2017
IS  - Hangzhou
SP  - S337
EP  - S344
PG  - 8
SN  - 0928-7329
DO  - 10.3233/THC-171337
UR  - https://m2.mtmt.hu/api/publication/26889850
ID  - 26889850
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Danciu, Daniela
TI  - A CNN-based approach for a class of non-standard hyperbolic partial differential equations modeling distributed parameters (nonlinear) control systems
JF  - NEUROCOMPUTING
J2  - NEUROCOMPUTING
VL  - 164
PY  - 2015
IS  - Puerto de la Cruz
SP  - 56
EP  - 70
PG  - 15
SN  - 0925-2312
DO  - 10.1016/j.neucom.2014.12.092
UR  - https://m2.mtmt.hu/api/publication/25312182
ID  - 25312182
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Danciu, Daniela
TI  - A CNN based approach for solving a hyperbolic PDE arising from a system of conservation laws - The case of the overhead crane
JF  - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
J2  - LECT NOTES ARTIF INT
VL  - 7903 LNCS
PY  - 2013
IS  - PART 2
SP  - 365
EP  - 374
PG  - 10
SN  - 0302-9743
DO  - 10.1007/978-3-642-38682-4_39
UR  - https://m2.mtmt.hu/api/publication/23842641
ID  - 23842641
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Roska, Tamás
ED  - Andrew, Adamatzky
ED  - Guanrong, Chen
TI  - From CNN Dynamics to Cellular Wave Computers
T2  - Chaos, CNN, memristors and beyond
PB  - World Scientific
CY  - New York, New York
CY  - Singapore
SN  - 9789814434812
PY  - 2013
SP  - 41
EP  - 55
PG  - 16
DO  - 10.1142/9789814434805_0004
UR  - https://m2.mtmt.hu/api/publication/2396597
ID  - 2396597
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kocsárdi, S
AU  - Nagy, Zoltán
AU  - Csík, Árpád
AU  - Szolgay, Péter
TI  - Simulation of 2D inviscid, adiabatic, compressible flows on emulated digital CNN-UM.
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 37
PY  - 2009
IS  - 4
SP  - 569
EP  - 585
PG  - 17
SN  - 0098-9886
DO  - 10.1002/cta.565
UR  - https://m2.mtmt.hu/api/publication/166292
ID  - 166292
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kocsárdi, S
AU  - Nagy, Zoltán
AU  - Csík, Árpád
AU  - Szolgay, Péter
TI  - Simulation of two-dimensional supersonic flows on emulated digital CNN-UM.
JF  - EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
J2  - EURASIP J ADV SIG PR
VL  - 2009
PY  - 2009
IS  - -
SP  - 1
EP  - 11
PG  - 11
SN  - 1687-6172
DO  - 10.1155/2009/923404
UR  - https://m2.mtmt.hu/api/publication/166293
ID  - 166293
N1  - WoS:hiba:000264800300001 2019-11-11 19:00 cikkazonosító nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kocsárdi, S
AU  - Nagy, Zoltán
AU  - Szolgay, Péter
TI  - Emulated digital CNN solution for two dimensional compressible flows
T2  - European Conference on Circuit Theory and Design 2007, ECCTD 2007
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424413423
PY  - 2008
SP  - 288
EP  - 291
PG  - 4
DO  - 10.1109/ECCTD.2007.4529593
UR  - https://m2.mtmt.hu/api/publication/165383
ID  - 165383
N1  - WoS:hiba:000258708400073 2019-11-11 18:50 év nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kocsárdi, S
AU  - Nagy, Zoltán
AU  - Csík, Árpád
AU  - Szolgay, Péter
ED  - López Vilariño, David
TI  - Two-dimensional Compressible Flow Simulation on Emulated Digital CNN-UM
T2  - 2008 11th international workshop on cellular neural networks and their applications
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424420902
PY  - 2008
SP  - 169
EP  - 174
PG  - 6
DO  - 10.1109/CNNA.2008.4588672
UR  - https://m2.mtmt.hu/api/publication/165921
ID  - 165921
N1  - #Könyv Szerző ismeretlen
WoS:hiba:000260249200041 2019-11-11 18:55 befoglaló egyiknél nincsenek szerzők, befoglaló cím nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Nagy, Zoltán
AU  - Kék, László
AU  - Kincses, Zoltán
AU  - Szolgay, Péter
TI  - CNN model on cell multiprocessor array
T2  - European Conference on Circuit Theory and Design 2007, ECCTD 2007
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424413423
PY  - 2008
SP  - 276
EP  - 279
PG  - 4
DO  - 10.1109/ECCTD.2007.4529590
UR  - https://m2.mtmt.hu/api/publication/165352
ID  - 165352
N1  - WoS:hiba:000258708400070 2019-11-11 18:49 év nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Nagy, Zoltán
AU  - Kék, László
AU  - Kincses, Zoltán
AU  - Kiss, András
AU  - Szolgay, Péter
ED  - López Vilariño, David
TI  - Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model
T2  - 2008 11th international workshop on cellular neural networks and their applications
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424420902
PY  - 2008
SP  - 157
EP  - 162
PG  - 6
DO  - 10.1109/CNNA.2008.4588670
UR  - https://m2.mtmt.hu/api/publication/165873
ID  - 165873
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Zoltán
AU  - Kék, László
AU  - Kincses, Zoltán
AU  - Kiss, András
AU  - Szolgay, Péter
TI  - Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 36
PY  - 2008
IS  - 5-6
SP  - 605
EP  - 622
PG  - 18
SN  - 0098-9886
DO  - 10.1002/cta.508
UR  - https://m2.mtmt.hu/api/publication/165869
ID  - 165869
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Sonkoly, P
AU  - Noé, I
AU  - Carcione, J
AU  - Nagy, Zoltán
AU  - Szolgay, Péter
TI  - CNN-UM based transversely isotropic elastic wave propagation simulation
T2  - European Conference on Circuit Theory and Design 2007, ECCTD 2007
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424413423
PY  - 2008
SP  - 284
EP  - 287
PG  - 4
DO  - 10.1109/ECCTD.2007.4529592
UR  - https://m2.mtmt.hu/api/publication/165318
ID  - 165318
N1  - WoS:hiba:000258708400072 2019-11-11 18:49 év nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Szolgay, Péter
ED  - López Vilariño, David
TI  - Emulated digital CNN-UM on different kind of array processors
T2  - 2008 11th international workshop on cellular neural networks and their applications
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781424420902
PY  - 2008
SP  - 154
EP  - 156
PG  - 3
DO  - 10.1109/CNNA.2008.4588669
UR  - https://m2.mtmt.hu/api/publication/2014321
ID  - 2014321
N1  - #Könyv Szerző ismeretlen

WoS:hiba:000260249200038 2019-11-11 20:49 befoglaló egyiknél nincsenek szerzők, befoglaló cím nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kocsárdi, S
AU  - Nagy, Zoltán
AU  - Kostianev, S
AU  - Szolgay, Péter
ED  - Tavsanoglu, V
ED  - Arik, S
TI  - FPGA based implementation of water reinjection in geothermal structure
T2  - Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and Their Applications
PB  - IEEE
CY  - Istanbul
CY  - Piscataway (NJ)
SN  - 1424406390
PY  - 2006
SP  - 323
EP  - 327
PG  - 5
DO  - 10.1109/CNNA.2006.341653
UR  - https://m2.mtmt.hu/api/publication/164906
ID  - 164906
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kozma, P
AU  - Nagy, Zoltán
AU  - Szolgay, Péter
TI  - Seismic wave propagation modelling on emulated digital CNN-UM architecture
JF  - PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING
J2  - PERIOD POLYTECH ELECTR ENG
VL  - 49
PY  - 2006
IS  - 3-4
SP  - 183
EP  - 193
PG  - 11
SN  - 0324-6000
UR  - https://m2.mtmt.hu/api/publication/165040
ID  - 165040
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kozma, P
AU  - Sonkoly, P
AU  - Szolgay, Péter
ED  - Roska, Tamás
TI  - Elastic wave propagation modeling on emulated digital CNN-UM architecture
T2  - Cellular neural networks and their applications: Proceedings of the 9th IEEE international workshop, CNNA 2005
PB  - IEEE
CY  - Hsinchu
SN  - 0780391853
PY  - 2005
SP  - 126
EP  - 129
PG  - 4
DO  - 10.1109/CNNA.2005.1543177
UR  - https://m2.mtmt.hu/api/publication/164454
ID  - 164454
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Sonkoly, P
AU  - Kocsárdi, S
AU  - Kozma, P
AU  - Szolgay, Péter
ED  - ORegan, F
ED  - Wegener, C
TI  - Inverse elastic wave propagation modeling on CNN-UM architecture
T2  - Proceedings of the 2005 European Conference on Circuit Theory and Design, Vol 1-3
PB  - IEEE
CY  - New York, New York
SN  - 9780780390669
PY  - 2005
SP  - 79
EP  - 82
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/164387
ID  - 164387
AB  - Exploration seismology deals with the use of. generated elastic waves to locate mineral deposits artificially (including hydrocarbons, ores, water, geothermal reservoirs, etc.) archeological sites and to obtain geological information for engineering. The elastic waves generated by an explosion propagate through the examined geological area and recorded on the surface. The structure of the area can be determined by using the recorded data called seismogram. The propagation of elastic waves in an elastic medium can be described by second order partial differential equations. The solution of these kinds of equations requires enormous computation power. In this paper a solution of inverse seismic wave propagation will be presented on Falcon emulated digital CNN-UNI architecture.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nagy, Z
AU  - Szolgay, P
TI  - Emulated digital CNN-UM implementation of a barotropic ocean model
JF  - IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS
J2  - IEEE INT JOINT CONF NEURAL NETWORKS
VL  - 4
PY  - 2004
SP  - 3137
EP  - 3142
PG  - 6
SN  - 1098-7576
DO  - 10.1109/IJCNN.2004.1381176
UR  - https://m2.mtmt.hu/api/publication/22618098
ID  - 22618098
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Nagy, Zoltán
AU  - Szolgay, Péter
TI  - Emulated digital CNN-UM implementation of a barotropic ocean model
T2  - 2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4,PROCEEDINGS
PB  - Institute of Electrical and Electronics Engineers (IEEE)
CY  - Piscataway (NJ)
SN  - 0780383591
T3  - IEEE International Joint Conference on Neural Networks, ISSN 1098-7576
PY  - 2004
SP  - 3137
EP  - 3142
PG  - 6
DO  - 10.1109/IJCNN.2004.1381176
UR  - https://m2.mtmt.hu/api/publication/163978
ID  - 163978
N1  - WoS:hiba:000224941900541 2019-11-09 14:22 befoglaló egyiknél nincsenek szerzők, befoglaló cím nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Krstic, I
AU  - Reljin, B
AU  - Kostic, P
AU  - Kandic, D
ED  - Reljin, B
ED  - Stankovic, S
TI  - Application of cellular neural networks in stress analysis of prismatic bars subjected to torsion
T2  - 2002 6TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS
PB  - IEEE
CY  - Belgrade
CY  - Piscataway (NJ)
CY  - New York, New York
SN  - 0780375939
PB  - IEEE
PY  - 2002
SP  - 129
EP  - 134
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/22618100
ID  - 22618100
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Roska, Tamás
AU  - Rodríguez-Vázquez, Á
TI  - Toward visual microprocessors. Invited paper
JF  - PROCEEDINGS OF THE IEEE
J2  - P IEEE
VL  - 90
PY  - 2002
IS  - 7
SP  - 1244
EP  - 1257
PG  - 14
SN  - 0018-9219
DO  - 10.1109/JPROC.2002.801453
UR  - https://m2.mtmt.hu/api/publication/163242
ID  - 163242
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Stanic, N
AU  - Potrebic, M
AU  - Durdevic, D
AU  - Dujkovic, D
AU  - Kostic, P
ED  - Reljin, B
ED  - Stankovic, S
TI  - Character recognition using a cellular neural network
T2  - 2002 6TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS
PB  - IEEE
CY  - Belgrade
CY  - Piscataway (NJ)
CY  - New York, New York
SN  - 0780375939
PB  - IEEE
PY  - 2002
SP  - 135
EP  - 138
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/22618099
ID  - 22618099
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - De Sandre, G
TI  - Stability of 1-D-CNN's with Dirichlet boundary conditions and global propagation dynamics
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 47
PY  - 2000
IS  - 6
SP  - 785
EP  - 792
PG  - 8
SN  - 1057-7122
DO  - 10.1109/81.852930
UR  - https://m2.mtmt.hu/api/publication/24072520
ID  - 24072520
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Dominguez-Castro, R
AU  - Espejo, S
AU  - Rodriguez-Vazquez, A
AU  - Carmona, R
ED  - Roska, Tamás
ED  - Rodriguez-Vázquez, A
TI  - A 20x22 CNN-UM chip with on-chip optical sensors
T2  - Towards the Visual Microprocessor: VLSI Design and the Use of Cellular Neural Network Universal Machines
PB  - John Wiley & Sons
CY  - Chichester
SN  - 9780471956068
PB  - John Wiley & Sons
PY  - 2000
SP  - 213
EP  - 237
PG  - 25
UR  - https://m2.mtmt.hu/api/publication/10274025
ID  - 10274025
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Stanic, N
AU  - Kostic, P
AU  - Reljin, B
ED  - Reljin, B
ED  - Stankovic, S
TI  - Cellular neural network simulator derived in Delphi
T2  - NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING
PB  - IEEE
CY  - Belgrade
PB  - IEEE
PY  - 2000
SP  - 125
EP  - 129
PG  - 5
UR  - https://m2.mtmt.hu/api/publication/22618101
ID  - 22618101
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Szolgay, Péter
AU  - Hidvégi, Timót
AU  - Szolgay, Z
AU  - Kozma, P
ED  - Fortuna, L
TI  - A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems
T2  - Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9780780363441
T3  - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
PY  - 2000
SP  - 9
EP  - 14
PG  - 6
DO  - 10.1109/CNNA.2000.876811
UR  - https://m2.mtmt.hu/api/publication/162294
ID  - 162294
N1  - WoS:hiba:000166182700002 2019-11-11 18:37 DOI azonosító nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Roska, Tamás
TI  - Computer-sensors: spatial-temporal computers for analog array signals, dynamically integrated with sensors
JF  - JOURNAL OF VLSI SIGNAL PROCESSING: SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
J2  - J VLSI SIG PROC SYST
VL  - 23
PY  - 1999
IS  - 2-3
SP  - 221
EP  - 237
PG  - 17
SN  - 0922-5773
DO  - 10.1023/A:1008132715897
UR  - https://m2.mtmt.hu/api/publication/162103
ID  - 162103
N1  - 0,466
Megjegyzés-24071394
Megjegyzés-20278491
hibás oldalszám-hivatkozás: p. 369!
Megjegyzés-20278792
hibás oldalszám-hivatkozás: p. 369!
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Salih, I
AU  - Smith, SH
TI  - Feedback neural network for pattern recognition
JF  - PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
J2  - PROCEEDINGS OF SPIE
VL  - 3647
PY  - 1999
SP  - 194
EP  - 201
PG  - 8
SN  - 0277-786X
DO  - 10.1117/12.341120
UR  - https://m2.mtmt.hu/api/publication/22618103
ID  - 22618103
N1  - BE Katsaggelos, AK
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Rekeczky, Csaba
AU  - Roska, Tamás
AU  - Ushida, A
TI  - CNN-based difference-controlled adaptive non-linear image filters
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 26
PY  - 1998
IS  - 4
SP  - 375
EP  - 423
PG  - 49
SN  - 0098-9886
DO  - 10.1002/(SICI)1097-007X(199807/08)26:4<375::AID-CTA19>3.0.CO;2-#
UR  - https://m2.mtmt.hu/api/publication/161657
ID  - 161657
N1  - 0,613
Megjegyzés-23498777
Admin megjegyzés-12142418
#JournalID1#
Name: INT J CIRCUIT THEOR APPL
ISSN: 0098-9886
#JournalID2#
WoS:hiba:000075322900004 2019-11-11 18:33 DOI azonosító nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Baker, G
AU  - McRobie, FA
AU  - Thompson, JMT
TI  - Implications of chaos theory for engineering science
JF  - PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
J2  - P I MECH ENG C-J MEC
VL  - 211
PY  - 1997
IS  - 5
SP  - 349
EP  - 363
PG  - 15
SN  - 0954-4062
DO  - 10.1243/0954406971522105
UR  - https://m2.mtmt.hu/api/publication/10274528
ID  - 10274528
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Finger, L
AU  - Tavsanoglu, V
TI  - Mapping of one-dimensional Josephson junction arrays onto cellular neural networks and their dynamics
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 44
PY  - 1997
IS  - 5
SP  - 438
EP  - 445
PG  - 8
SN  - 1057-7122
DO  - 10.1109/81.572340
UR  - https://m2.mtmt.hu/api/publication/10273544
ID  - 10273544
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Civalleri, PP
AU  - Gilli, M
TI  - A spectral approach to the study of propagation phenomena in CNNs
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 24
PY  - 1996
IS  - 1
SP  - 37
EP  - 47
PG  - 11
SN  - 0098-9886
DO  - 10.1002/(SICI)1097-007X(199601/02)24:1<37::AID-CTA902>3.0.CO;2-S
UR  - https://m2.mtmt.hu/api/publication/10273547
ID  - 10273547
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Csapodi, Márton
AU  - Roska, Tamás
TI  - Adaptive histogram equalization with Cellular Neural Networks
T2  - Fourth IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA-96: Proceedings
PB  - Institute of Electrical and Electronics Engineers (IEEE)
CY  - Piscataway (NJ)
SN  - 9780780332614
PY  - 1996
SP  - 81
EP  - 86
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/160818
ID  - 160818
N1  - Besorolás: Konferenciaközlemény
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Destri, G
AU  - Marenzoni, P
TI  - Cellular neural networks as a general massively parallel computational paradigm
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 24
PY  - 1996
IS  - 3
SP  - 397
EP  - 407
PG  - 11
SN  - 0098-9886
DO  - 10.1002/(SICI)1097-007X(199605/06)24:3<397::AID-CTA924>3.0.CO;2-N
UR  - https://m2.mtmt.hu/api/publication/10273545
ID  - 10273545
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Finger, L
AU  - Tavsanoglu, V
TI  - Mapping of one-dimensional josephson junction arrays onto cellular neural networks
T2  - Fourth IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA-96: Proceedings
PB  - Institute of Electrical and Electronics Engineers (IEEE)
CY  - Piscataway (NJ)
SN  - 9780780332614
PY  - 1996
SP  - 345
EP  - 350
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/20278394
ID  - 20278394
N1  - TPA.PU=IEEE, Piscataway
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Nossek, JA
TI  - Design and learning with cellular neural networks
JF  - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
J2  - INT J CIRC THEOR APP
VL  - 24
PY  - 1996
IS  - 1
SP  - 15
EP  - 24
PG  - 10
SN  - 0098-9886
DO  - 10.1002/(SICI)1097-007X(199601/02)24:1<15::AID-CTA900>3.0.CO;2-5
UR  - https://m2.mtmt.hu/api/publication/10274344
ID  - 10274344
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Tóth, Gábor András
AU  - Földesy, Péter
AU  - Roska, Tamás
TI  - Distance preserving 1D turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection)
T2  - Fourth IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA-96: Proceedings
PB  - Institute of Electrical and Electronics Engineers (IEEE)
CY  - Piscataway (NJ)
SN  - 9780780332614
PY  - 1996
SP  - 109
EP  - 114
PG  - 6
DO  - 10.1109/CNNA.1996.566503
UR  - https://m2.mtmt.hu/api/publication/160738
ID  - 160738
N1  - WoS:hiba:A1996BH11L00020 2019-11-11 18:02 befoglaló egyiknél nincsenek szerzők, befoglaló cím nem egyezik
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Yentis, R
AU  - Zaghloul, ME
TI  - VLSI implementation of locally connected neural network for solving partial differential equations
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 43
PY  - 1996
IS  - 8
SP  - 687
EP  - 690
PG  - 4
SN  - 1057-7122
DO  - 10.1109/81.526685
UR  - https://m2.mtmt.hu/api/publication/10273539
ID  - 10273539
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kozek, Tibor
AU  - Chua, LO
AU  - Roska, Tamás
AU  - Wolf, D
AU  - Tetzlaff, R
AU  - Puffer, F
TI  - Simulating nonlinear waves and partial differential equations via CNN. Part 2. Typical examples
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 42
PY  - 1995
IS  - 10
SP  - 816
EP  - 820
PG  - 5
SN  - 1057-7122
DO  - 10.1109/81.473591
UR  - https://m2.mtmt.hu/api/publication/160581
ID  - 160581
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Roska, Tamás
AU  - Chua, LO
AU  - Wolf, D
AU  - Kozek, Tibor
AU  - Tetzlaff, R
AU  - Puffer, F
TI  - Simulating nonlinear waves and partial differential equations via CNN. Part 1. Basic techniques
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 42
PY  - 1995
IS  - 10
SP  - 807
EP  - 815
PG  - 9
SN  - 1057-7122
DO  - 10.1109/81.473590
UR  - https://m2.mtmt.hu/api/publication/160568
ID  - 160568
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Venetianer, Péter László
AU  - Werblin, F
AU  - Roska, Tamás
AU  - Chua, LO
TI  - Analogic CNN algorithms for some image compression and restoration tasks
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 42
PY  - 1995
IS  - 5
SP  - 278
EP  - 284
PG  - 7
SN  - 1057-7122
DO  - 10.1109/81.386161
UR  - https://m2.mtmt.hu/api/publication/160557
ID  - 160557
LA  - English
DB  - MTMT
ER  - 

TY  - CONF
AU  - Jankowski, S
AU  - Mazur, C
AU  - Wanczuk, R
TI  - Some problems of molecular physics solved by CNN
T2  - Nonlinear theory and its applications: Proceedings of the International symposium, NOLTA '93
PY  - 1994
SP  - 17
EP  - 22
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/10273535
ID  - 10273535
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Paul, S
AU  - Huper, K
AU  - Nossek, JA
AU  - Chua, LO
TI  - Mapping nonlinear Lattice Equations onto cellular neural networks
JF  - IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I - FUNDAMENTAL THEORY AND APPLICATIONS
J2  - IEEE T CIRC SYST FUND
VL  - 40
PY  - 1993
IS  - 3
SP  - 196
EP  - 203
PG  - 8
SN  - 1057-7122
DO  - 10.1109/81.222800
UR  - https://m2.mtmt.hu/api/publication/10273534
ID  - 10273534
LA  - English
DB  - MTMT
ER  -