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Bogdan M. Wilamowski

Bogdan M. Wilamowski

D-Index & Metrics

Computer Science

D-Index
39
Citations
8028
World Ranking
9631
National Ranking
4080

Research.com Recognitions

  • 2017 - Polish Academy of Science
  • 2006 - Anthony J. Hornfeck Service Award

Overview

Bogdan M. Wilamowski is affiliated with Auburn University in the United States. Their research spans several subfields within electrical engineering and related disciplines, including Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Building and Construction, and Computer Networks and Communications.

Their recent scholarly output includes papers published in notable venues such as the IEEJ Transactions on Electrical and Electronic Engineering and the IEEE Transactions on Green Communications and Networking. Key publications include:

  • "Ensemble Learning for Load Forecasting," 2020, IEEE Transactions on Green Communications and Networking
  • "Pre-Trained Models for Non-Intrusive Appliance Load Monitoring," 2021, IEEE Transactions on Green Communications and Networking
  • "Issue Information," 2020, IEEJ Transactions on Electrical and Electronic Engineering
  • "Issue Information," 2021, IEEJ Transactions on Electrical and Electronic Engineering
  • "Issue Information," 2022, IEEJ Transactions on Electrical and Electronic Engineering

Frequent collaborators of Wilamowski include:

  • Narendra Ahuja
  • Frede Blaabjerg
  • Dushan Boroyevich
  • Hsiao-Dong Chiang
  • Kukjin Chun

Their publications are predominantly found in the following venues:

  • IEEJ Transactions on Electrical and Electronic Engineering
  • IEEE Transactions on Green Communications and Networking

The main research topics addressed in Wilamowski's work encompass:

  • Energy Load and Power Forecasting
  • Image and Signal Denoising Methods
  • Traffic Prediction and Management Techniques
  • Smart Grid Energy Management
  • IoT-based Smart Home Systems
  • Wireless Sensor Networks for Data Analysis

Their research contributions are also reflected in multiple publications focused on applications of ensemble learning, non-intrusive load monitoring, and communication networks within the context of green energy systems and smart grids.

Bogdan M. Wilamowski has received recognition through awards such as the Polish Academy of Science in 2017 and the Anthony J. Hornfeck Service Award in 2006.

Best Publications

  • Improved Computation for Levenberg–Marquardt Training

    Bogdan M Wilamowski;Hao Yu

  • Levenberg—Marquardt Training

    Hao Yu;Bogdan M. Wilamowski

  • Advantages of Radial Basis Function Networks for Dynamic System Design

    Hao Yu;Tiantian Xie;S. Paszczynski;B. M. Wilamowski

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

    D. Hunter;Hao Yu;Michael S. Pukish;J. Kolbusz

  • Neural network architectures and learning algorithms

    B.M. Wilamowski

  • An algorithm for fast convergence in training neural networks

    B.M. Wilamowski;S. Iplikci;O. Kaynak;M.O. Efe

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

    Carlo Cecati;Janusz Kolbusz;Pawel Rozycki;Pierluigi Siano

  • Neural Network Learning Without Backpropagation

    B M Wilamowski;Hao Yu

  • Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks

    B.M. Wilamowski;N.J. Cotton;O. Kaynak;G. Dundar

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

    Gopikrishna Deshpande;Peng Wang;D. Rangaprakash;Bogdan Wilamowski

  • Comparison between traditional neural networks and radial basis function networks

    Tiantian Xie;Hao Yu;Bogdan Wilamowski

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

    Bogdan M. Dan Wilamowski

  • An incremental design of radial basis function networks.

    Hao Yu;Philip D. Reiner;Tiantian Xie;Tomasz Bartczak

  • Efficient algorithm for training neural networks with one hidden layer

    B.M. Wilamowski;Yixin Chen;A. Malinowski

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

    Tiantian Xie;Hao Yu;J. Hewlett;P. Rozycki

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

    Bo Wu;Bogdan M. Wilamowski

  • Implementing a fuzzy system on a field programmable gate array

    M. McKenna;B.M. Wilamowski

  • Oil well diagnosis by sensing terminal characteristics of the induction motor

    B.M. Wilamowski;O. Kaynak

  • Industrial Communication Systems

    Bogdan M. Wilamowski;J. David Irwin

  • Nonlinear System Modeling Using RBF Networks for Industrial Application

    Xi Meng;Pawel Rozycki;Jun-Fei Qiao;Bogdan M. Wilamowski

  • The Transmission Control Protocol.

    Aleksander Malinowski;Bogdan M. Wilamowski

Frequent Co-Authors

Okyay Kaynak
Okyay Kaynak Boğaziçi University
Richard C. Jaeger
Richard C. Jaeger Auburn University
Milos Manic
Milos Manic Virginia Commonwealth University
Guofu Niu
Guofu Niu Auburn University
Badrul H. Chowdhury
Badrul H. Chowdhury University of North Carolina at Charlotte
Xinghuo Yu
Xinghuo Yu RMIT University
Jun-ichi Nishizawa
Jun-ichi Nishizawa Tohoku University
Emil Levi
Emil Levi Liverpool John Moores University
Shiwen Mao
Shiwen Mao Auburn University
Chen-Sheng Yeh
Chen-Sheng Yeh National Cheng Kung University

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