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Machine Learning Models and Architectures for Biomedical Signal Processing

  • 1st Edition - November 1, 2024
  • Editors: Suman Lata Tripathi, Valentina Emila Balas, Mufti Mahmud, Soumya Banerjee
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 8 - 3
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 2 2 1 5 7 - 6

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamentals concepts of machine learning techniques for bioinformatics in an intera… Read more

Machine Learning Models and Architectures for Biomedical Signal Processing

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Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamentals concepts of machine learning techniques for bioinformatics in an interactive way. It investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and Field programmable gate arrays (FPGAs) or any hybrid system. This book will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques.