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Machine Learning Methods for Signal, Image and Speech Processing - Research Book

Machine Learning Methods for Signal, Image and Speech Processing - Research Book

Good Research Book in Machine Learning Methods for Signal, Image and Speech Processing

Author(s) Name:  Meerja Akhil Jabbar, Kantipudi MVV Prasad, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira

About the Book:

   The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering).
   This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.

Table of Contents

  • 1. Evaluation of Adaptive Algorithms for Recognition of Cavities in Dentistry
  • 2. Lung Cancer Prediction using Feature Selection and Recurrent Residual Convolutional Neural Network (RRCNN)
  • 3. Machine Learning Application for Detecting Leaf Diseases with Image Processing Schemes
  • 4. COVID-19 Forecasting Using Deep Learning Models
  • 5. 3D Smartlearning Using Machine Learning Technique
  • 6. Signal Processing for OFDM Spectrum Sensing Approaches in Cognitive Networks
  • 7. A Machine Learning Algorithm for Biomedical Signal Processing Application
  • 8. Reversible Image Data Hiding Based on Prediction-Error of Prediction Error Histogram (PPEH)
  • 9. Object Detection using Deep Convolutional Neural Network
  • 10. An Intelligent Patient Health Monitoring System Based on A Multi-Scale Convolutional Neural Network (MCCN) and Raspberry Pi

    • ISBN:  9788770223690

    Publisher:  River Publishers

    Year of Publication:  2021

    Book Link:  Home Page Url