B. Wilamowski

发表

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2005, The Industrial Information Technology Handbook.

A Robust Identification Technique for Time-Varying ARMA Processes Based on Variable Structure Systems Theory

O. Kaynak, B. Wilamowski, M. Ö. Eff, 2002 .

An algorithm for fast convergence in training neural networks

Okyay Kaynak, Mehmet Önder Efe, Bogdan M. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

A MODIFIED REGRESSION ALGORITHM FOR FAST ONE LAYER NEURAL NETWORK TRAINING by

B. Wilamowski, T. J. Andersen, 2000 .

Fuzzy preference approach for computer network attack detection

Milos Manic, Bogdan M. Wilamowski, B. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Neural Network Learning Without Backpropagation

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2010, IEEE Transactions on Neural Networks.

Advantages of Radial Basis Function Networks for Dynamic System Design

Hao Yu, Stanislaw Paszczynski, Bogdan M. Wilamowski, 2011, IEEE Transactions on Industrial Electronics.

Spice Based Circuit Analysis Using Web Pages

Bogdan M. Wilamowski, Aleksander Malinowski, John Regnier, 2000 .

IMPLEMENTATION OF RBF TYPE NETWORKS BY SIGMOIDAL FEEDFORWARD NEURAL NETWORKS

B. Wilamowski, R. Jaeger, 2000 .

Monolithic Device Models

B. Wilamowski, G. Niu, M. Brooke, 2001, Analog and VLSI Circuits.

Hamiltonian neural nets as a universal signal processor

B. Wilamowski, W. Sienko, W. Citko, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Neural network forecasting for airlines: A comparative analysis

Bogdan M. Wilamowski, Larry Weatherford, B. Wilamowski, 2003 .

FOC: Field-Oriented Control

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

The Industrial Electronics Handbook - Five Volume Set

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

Robotics and Vision

Josep M. Guerrero, Weiliang Xu, Kouhei Ohnishi, 2005 .

Patch-Neural Network Architectures for Artificial Noses

B. Wilamowski, 2009 .

Accelerated Evolutionary Algorithm with Second-order Enhancement

O. Kaynak, B. Wilamowski, J. Hewlett, 2008, 2008 International Conference on Intelligent Engineering Systems.

Accelerated Evolutionary Algorithm with

O. Kaynak, B. Wilamowski, J. Hewlett, 2008 .

Merge of Evolutionary Computation with Gradient Based Method for Optimization Problems

G. Dundar, J. Hewlett, B. Wilamowski, 2007, 2007 IEEE International Symposium on Industrial Electronics.

Pulse-Coupled Neurons for Image Filtering

M. L. Padgett, B. Wilamowski, R. Jaeger, 1999 .

Understanding the impact of temperature variations on measurement of stress dependent parameters of bipolar junction transistors

B. Wilamowski, M. Hamilton, R. Jaeger, 2014, Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).

Impact of mechanical stress on bipolar transistor current gain and Early voltage

B. Wilamowski, M. Hamilton, R. Jaeger, 2013, 2013 IEEE SENSORS.

IMPLEMENTATION OF A UNIVERSAL FUZZY CONTROLLER

B. Wilamowski, R. Jaeger, BOGDAN M. WILAMOWSKI, 2001 .

Design of Reconfigurable Baseband Filter

B. Wilamowski, Xin Jin, Guofu Niu, 2010 .

Controlling Robots via Internet

A. Malinowski, B. Wilamowski, 2009 .

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS Editor-in-Chief

M. Liserre, M. Veerachary, N. Mutoh, 2004 .

Bright and dark sides of computational intelligence

B. Wilamowski, 2012 .

Oil well diagnosis by sensing terminal characteristics of the induction motor

Okyay Kaynak, Bogdan M. Wilamowski, O. Kaynak, 2000, IEEE Trans. Ind. Electron..

State-Space Approach to Simulating Dynamic Systems in SPICE

B. Wilamowski, J. Hewlett, 2018, Control and Mechatronics.

21.1 Introduction 21.2 Distance and Displacement Sensors 21.2.1 Sensors for Large Distances Sensors for Large Distances @bullet Sensors for Medium Distances @bullet Sensors for Small Distances Piezoresistive Pressure Sensors @bullet Capacitive Pressure Sensors @bullet Piezoelectric Pressure Sensors

B. Wilamowski, Tiantian Xie, 2010 .

Transmission Control Protocol (TCP)

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2021, RFC.

Method for Determination of Charge Density Distribution in Silicon Nitride of MNOS Structures

B. Wilamowski, W. Kordalski, 1982, June 16.

An Incremental Design of Compact Radial Basis Function Networks

Philip D. Reiner, B. Wilamowski, Hao Yu, 2022 .

Levenberg—Marquardt Training

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2011 .

IEEE INDUSTRIAL ELECTRONICS SOCIETY Officers

Seta Bogosyan, K. Al-Haddad, Marco Liserre, 2010 .

Threshold voltage control for deep sub-micrometer fully depleted SOI MOSFET

B. Wilamowski, S. Parke, Xiangli Li, 2003, Proceedings of the 15th Biennial University/Government/ Industry Microelectronics Symposium (Cat. No.03CH37488).

An algorithm for visualization of big data in a two-dimensional space

Bo Wu, Bogdan M. Wilamowski, B. Wilamowski, 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

CMOS architecture of synchronous pulse-coupled neural network and its application to image processing

Bogdan M. Wilamowski, Y. Ota, B. Wilamowski, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Spatial to temporal conversion of images using a pulse-coupled neural network

Bogdan M. Wilamowski, Eric L. Brown, B. Wilamowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems

Janusz Korniak, Bogdan M. Wilamowski, Jordan Richardson, 2016, IEEE Transactions on Industrial Informatics.

Selection of Proper Neural Network Sizes and Architectures—A Comparative Study

Hao Yu, Janusz Kolbusz, Bogdan M. Wilamowski, 2012, IEEE Transactions on Industrial Informatics.

Challenges in applications of computational intelligence in industrial electronics

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 IEEE International Symposium on Industrial Electronics.

Inkjet printing of nanodiamond suspensions in ethylene glycol for CVD growth of patterned diamond structures and practical applications

B. Wilamowski, Y. Tzeng, R. Dean, 2009 .

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data

Bogdan Wilamowski, D. Rangaprakash, Gopikrishna Deshpande, 2015, IEEE Transactions on Cybernetics.

Neural Networks and Fuzzy Systems

Bogdan M. Wilamowski, B. Wilamowski, 2018, Microelectronics.

Advanced learning algorithms

Bogdan M. Wilamowski, B. Wilamowski, 2009, 2009 International Conference on Intelligent Engineering Systems.

Methods of computational intelligence

B.M. Wilamowski, B. Wilamowski, 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..

Efficient incremental construction of RBF networks using quasi-gradient method

Bogdan M. Wilamowski, Philip D. Reiner, B. Wilamowski, 2015, Neurocomputing.

Nelder-mead enhanced extreme learning machine

Bogdan M. Wilamowski, Philip D. Reiner, Philip Reiner, 2013, 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES).

Neural Network Training With Levenberg–Marquardt and Adaptable Weight Compression

Bo Wu, Bogdan M. Wilamowski, James S. Smith, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Modeling of Complex Multidimensional Nonlinear Systems Using Neural System with Deep Architectures

Janusz Korniak, Bogdan M. Wilamowski, B. Wilamowski, 2014 .

Suitability of fuzzy systems and neural networks for industrial applications

B. M. Wilamowski, B. Wilamowski, 2012, 2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM).

Advantages and problems of soft computing

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 9th IEEE International Conference on Industrial Informatics.

Can computers be more intelligent than humans?

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 4th International Conference on Human System Interactions, HSI 2011.

How to not get frustrated with neural networks

Bogdan M. Wilamowski, B. Wilamowski, 2011, 2011 IEEE International Conference on Industrial Technology.

Human factor and computational intelligence limitations in resilient control systems

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 3rd International Symposium on Resilient Control Systems.

Replacing fuzzy systems with neural networks

Bogdan Wilamowski, Tiantian Xie, Hao Yu, 2010, 3rd International Conference on Human System Interaction.

Neural network architectures and learning algorithms

B.M. Wilamowski, B. Wilamowski, 2009, IEEE Industrial Electronics Magazine.

Neural Networks or Fuzzy Systems

Bogdan M. Wilamowski, B. Wilamowski, 2009 .

How Not to Be Frustrated with Neural Networks

Bogdan M. Wilamowski, B. Wilamowski, 2009 .

Neural Networks and Fuzzy Systems for Nonlinear Applications

B.M. Wilamowski, B. Wilamowski, 2007, 2007 11th International Conference on Intelligent Engineering Systems.

Methods of Computational Intelligence for Nonlinear Control Systems

Bogdan M. Wilamowski, B. Wilamowski, 2005 .

Fuzzy System with Increased Accuracy Suitable for FPGA implementaion

S. Neeli, K. Govindasamy, B.M. Wilamowski, 2008, 2008 International Conference on Intelligent Engineering Systems.

Effective Training of RBF Networks

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rozycki, 2019, 2019 12th International Conference on Human System Interaction (HSI).

Improvement of RBF Training by Removing of Selected Pattern

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2017, ICAISC.

Learning architectures with enhanced capabilities and easier training

Janusz Korniak, Bogdan M. Wilamowski, B. Wilamowski, 2015, 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies

Pierluigi Siano, Janusz Kolbusz, Carlo Cecati, 2015, IEEE Transactions on Industrial Electronics.

Neural network architectures and learning algorithms

B. Wilamowski, 2009, IEEE Industrial Electronics Magazine.

The Impact of Architecture on the Deep Neural Networks Training

Janusz Kolbusz, Bogdan Wilamowski, Pawel Rozycki, 2019, 2019 12th International Conference on Human System Interaction (HSI).

A novel modular RBF neural network based on a brain-like partition method

Wen-Jing Li, Bogdan M. Wilamowski, Xi Meng, 2018, Neural Computing and Applications.

Implementation of Deep Neural Networks for Industry Applications

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

Soft Patterns Reduction for RBF Network Performance Improvement

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2018, ICAISC.

Nonlinear System Modeling Using RBF Networks for Industrial Application

Bogdan M. Wilamowski, Xi Meng, Jun-Fei Qiao, 2018, IEEE Transactions on Industrial Informatics.

Neural Networks Learning

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Understanding Neural Networks

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Neural Network Architectures

Bogdan M. Wilamowski, B. Wilamowski, 2011, Intelligent Systems.

Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation

Janusz Korniak, Bogdan M. Wilamowski, Angelika Olejczak, 2017, ICAISC.

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2016, ICAISC.

Estimation of deep neural networks capabilities based on a trigonometric approach

P. Rozycki, J. Kolbusz, B. M. Wilamowski, 2016, 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES).

Big data and deep learning

Bo Wu, Janusz Korniak, B. M. Wilamowski, 2016, 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES).

Cubic spline as an alternative to methods of machine learning

Bogdan M. Wilamowski, Jordan Richardson, Philip D. Reiner, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures

Janusz Kolbusz, Bogdan M. Wilamowski, Tomasz Bartczak, 2015, ICAISC.

Efficient Determination of Copper Electroplating Chemistry Additives

Michael C. Hamilton, Bogdan M. Wilamowski, Charles D. Ellis, 2014, IEEE Transactions on Components, Packaging and Manufacturing Technology.

An Incremental Design of Radial Basis Function Networks

Hao Yu, Bogdan M. Wilamowski, Tomasz Bartczak, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Neural Network Training with Second Order Algorithms

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2012 .

Performance analysis of IES journals using internet and text processing robots

Bogdan M. Wilamowski, Jiao Yu, Parameshwaran Gnanachchelvi, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Recent advances in industrial control

Bogdan Wilamowski, Tiantian Xie, Hao Yu, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Comparison between traditional neural networks and radial basis function networks

Bogdan Wilamowski, Tiantian Xie, Hao Yu, 2011, 2011 IEEE International Symposium on Industrial Electronics.

Comparison of different neural network architectures for digit image recognition

Bogdan Wilamowski, Tiantian Xie, Michael Hamilton, 2011, 2011 4th International Conference on Human System Interactions, HSI 2011.

Parallel Multi-Layer neural network architecture with improved efficiency

Bogdan Wilamowski, David Hunter, B. Wilamowski, 2011, 2011 4th International Conference on Human System Interactions, HSI 2011.

Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers

Bogdan M. Wilamowski, Nicholas J. Cotton, B. Wilamowski, 2011, IEEE Transactions on Industrial Electronics.

Parity- N Problems as a Vehicle to Compare Efficiencies of Neural Network Architectures

Hao Yu, Bogdan M. Wilamowski, Kun Tao Chung, 2011 .

Improved Computation for Levenberg–Marquardt Training

Hao Yu, Bogdan M. Wilamowski, B. Wilamowski, 2010, IEEE Transactions on Neural Networks.

Neural Network Trainer through Computer Networks

Hao Yu, Bogdan M. Wilamowski, Nam Pham, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Design of Network Based Software

Bogdan M. Wilamowski, B. Wilamowski, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Compensation of Sensors Nonlinearity with Neural Networks

Bogdan M. Wilamowski, Nicholas J. Cotton, B. Wilamowski, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Efficient and reliable training of neural networks

Bogdan M. Wilamowski, Hao Yu, B. Wilamowski, 2009, 2009 2nd Conference on Human System Interactions.

Special neural network architectures for easy electronic implementations

Bogdan M. Wilamowski, B. Wilamowski, 2009, 2009 International Conference on Power Engineering, Energy and Electrical Drives.

Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks

Okyay Kaynak, Günhan Dündar, Bogdan M. Wilamowski, 2008, IEEE Transactions on Industrial Electronics.

Solving parity-N problems with feedforward neural networks

Bogdan M. Wilamowski, Aleksander Malinowski, D. Hunter, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Fast and Efficient Second-Order Method for Training Radial Basis Function Networks

Hao Yu, Bogdan M. Wilamowski, Tiantian Xie, 2012, IEEE Transactions on Neural Networks and Learning Systems.

A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise

Bo Wu, Bogdan M. Wilamowski, B. Wilamowski, 2017, IEEE Transactions on Industrial Informatics.

An efficient grid-based clustering method by finding density peaks

Bo Wu, Bogdan M. Wilamowski, B. Wilamowski, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Past Editor-in-Chief

H. K. Chan, B. R. Lin, O. Kaynak, 2011 .

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem

Janusz Kolbusz, Bogdan M. Wilamowski, Pawel Rózycki, 2017, ICAISC.

Neuristor propagation in low impedance line

Jun-ichi Nishizawa, J. Nishizawa, B. Wilamowski, 1970 .

Neuro-Fuzzy System

Hao Yu, Bogdan M. Wilamowski, Tiantian Xie, 2011, IEEE International Conference on Intelligent Systems.

User Datagram Protocol—UDP

Bogdan M. Wilamowski, Aleksander Malinowski, A. Malinowski, 2011 .

Using neural networks to predict abnormal returns of quarterly earnings

Bogdan M. Wilamowski, Alan M. Safer, B. Wilamowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Improvement of the computer network transmission band usage by packing agent technology

B.M. Wilamowski, T. Bartczak, S. Paszczynski, 2005, INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005..

Pre-Trained Models for Non-Intrusive Appliance Load Monitoring

Shiwen Mao, Bogdan Wilamowski, R. M. Nelms, 2021, IEEE Transactions on Green Communications and Networking.

Ensemble Learning for Load Forecasting

R. M. Nelms, Lingxiao Wang, Shiwen Mao, 2020, IEEE Transactions on Green Communications and Networking.

Personal computer support for teaching analog filter analysis and design

Bogdan M. Wilamowski, S. F. Legowski, Steadman Jw, 1992 .

Improved nelder mead's simplex method and applications

Bogdan M. Wilamowski, B. Wilamowski, Nam Dinh Pham, 2012 .

Monolithically Integrated Gas Distribution Chamber for Silicon MEMS Fuel Cells

B. Wilamowski, J. M. Moreno, A. Luque, 2010, Journal of Microelectromechanical Systems.

Novel inductorless neuristor line

M. Bialko, Bogdan M. Wilamowski, Z. Czarnul, 1975 .

A brain-computer interface for recognizing brain activity

A. Salvetti, B.M. Wilamowski, B. Wilamowski, 2008, 2008 Conference on Human System Interactions.

Efficient algorithm for training neural networks with one hidden layer

Yixin Chen, Bogdan M. Wilamowski, Aleksander Malinowski, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Advanced controllers for microelectromechanical actuators

R.N. Dean, B.M. Wilamowski, J.Y. Hung, 2005, 2005 IEEE International Conference on Industrial Technology.

Short-Term Load Forecasting with LSTM Based Ensemble Learning

Lingxiao Wang, Shiwen Mao, Bogdan Wilamowski, 2019, 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Approximation-based Estimation of Learning Rate for Error Back Propagation Algorithm

Janusz Kolbusz, Bogdan M. Wilamowski, Grzegorz Krzos, 2019, 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES).

A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning

Bogdan M. Wilamowski, Xing Wu, Pawel Rózycki, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Industrial Communication Systems

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

A radiation-hard phase-locked loop

Bogdan M. Wilamowski, B. Wilamowski, Dong Pan, 2003, 2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692).

Major challenges of IEEE Transactions on Industrial Electronics [My View]

Bogdan M. Wilamowski, B. Wilamowski, 2007 .

Fundamentals of Industrial Electronics

Bogdan M. Wilamowski, J. David Irwin, B. Wilamowski, 2011 .

Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement

Günhan Dündar, Bogdan M. Wilamowski, Joel D. Hewlett, 2008, IEEE Transactions on Industrial Electronics.

Neural network architectures for artificial noses

B.M. Wilamowski, V.J. Vodyanoy, B. Wilamowski, 2008, 2008 Conference on Human System Interactions.

Integrated logic - Static induction transistor logic

J. Nishizawa, B. Wilamowski, J. Nishizawa, 1977, 1977 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

Introduction to the Special Section on Intelligent Systems

Milos Manic, Honghai Liu, Bogdan M. Wilamowski, 2012, IEEE transactions on industrial electronics (1982. Print).

Recent advances in power aware design

Bogdan Wilamowski, Tiantian Xie, B. Wilamowski, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Fabrication and control of an electrostatically levitated rotating gyro

Bogdan M. Wilamowski, Charles D. Ellis, B. Wilamowski, 2008, SPIE Defense + Commercial Sensing.

Silicon implementation of computational intelligence for mechatronics

B.M. Wilamowski, B. Wilamowski, 2004, Proceedings of the IEEE International Conference on Mechatronics, 2004. ICM '04..

Neuro-fuzzy architecture for CMOS implementation

Okyay Kaynak, Bogdan M. Wilamowski, Richard C. Jaeger, 1999, IEEE Trans. Ind. Electron..

Soft Computing in Hardware Implementations

Okyay Kaynak, Bogdan M. Wilamowski, O. Kaynak, 2003 .

Static Induction Devices

B. Wilamowski, 2018 .

9 – Static Induction Devices

B. Wilamowski, 2007 .

High Speed , High Voltage , and Energy Efficient Static Induction Devices

Bogdan M. Wilamowski, B. Wilamowski, 2000 .

Implementing a fuzzy system on a field programmable gate array

Bogdan M. Wilamowski, M. McKenna, B. Wilamowski, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

High-Performance Analog Circuits

Chris Toumazou, John Lidgey, Alicja Konczakowska, 2001, Analog and VLSI Circuits.

Recent advances in in-vehicle embedded systems

Bogdan M. Wilamowski, Jiao Yu, B. Wilamowski, 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

Adaptive Neural Networks in Regulation of River Flows

Bogdan M. Wilamowski, B. Wilamowski, J. Mohan Reddy, 2000 .

Multilevel logic multiplier using VLSI neural network

Xiangli Li, Bogdan M. Wilamowski, Milos Manic, 2003, IEEE International Conference on Industrial Technology, 2003.

An electrical network approach to the analysis of semiconductor devices

Bogdan M. Wilamowski, R. H. Mattson, Z. J. Staszak, 1992 .

Active Filter Implementation

Bogdan M. Wilamowski, Steadman Jw, Nam Pham, 2011, Fundamentals of Industrial Electronics.

CMT-conductivity-modulated transistor

B. Wilamowski, T. Englert, 1992 .