Machine Learning Methods for Signal, Image and Speech Processing
1st Edition
Published on 1. September 2022
250 pages
978-1-000-79474-8 (ISBN)
Description
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.
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.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ebooks
Target group
Professional and scholarly
ISBN-13
978-1-000-79474-8 (9781000794748)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
M.A. Jabbar | MVV Prasad Kantipudi | Sheng-Lung Peng
Machine Learning Methods for Signal, Image and Speech Processing
Book
10/2024
1st Edition
River Publishers
€57.00
Article not available for order
M.A. Jabbar | MVV Prasad Kantipudi | Sheng-Lung Peng
Machine Learning Methods for Signal, Image and Speech Processing
Book
10/2021
1st Edition
River Publishers
€155.90
Article not available for order
Persons
M.A. Jabbar, MVV Prasad Kantipudi, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira
Content
Preface List of Figures List of Tables List of Contributors List of Abbreviations 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 Index About the Editors
