Machine Learning Models and Architectures for Biomedical Signal Processing

Author: Tripathi PhD, Suman Lata

Edition: 1

ISBN: 9780443221583

Release Date: 01-11-2024

Package Dimensions: 9.2 x 7.6 x 1.3 inches

Languages: English

Binding: paperback

Number Of Pages: 614

Details: Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques. Covers the hardware architecture implementation of machine learning algorithms Discusses the software implementation approach and the efficient hardware of machine learning application with FPGA Presents the major design challenges and research potential in machine learning techniques