Machine Learning Algorithms for Signal and Image Processing

ISBN-13: 9781119861829 / Angielski / Twarda / 2022 / 400 str.

Suman Lata Tripathi; Deepika Ghai; Sobhit Saxena

Spis treści

Section-1 Machine & Deep Learning techniques for Image Processing1.1 Image Features in Machine Learning1.2 Image Segmentation and Classification using Deep Learning1.3 Deep Learning based Synthetic Aperture Radar Image Classification1.4 Design Perspectives of Multitask Deep Learning Models and Applications1.5 Image Reconstruction using Deep Learning1.6 Machine and Deep Learning Techniques for Image Super-ResolutionSection-2 Machine & Deep Learning techniques for Text and Speech Processing2.1 Machine and Deep Learning Techniques for Text and Speech Processing2.2 Manipuri Handwritten Script Recognition using Machine and Deep Learning2.3 Comparison of Different Text Extraction Techniques for Complex Color Images2.4 Smart Text Reader System for Blind Person using Machine and Deep Learning2.5 Machine Learning Techniques for Deaf People2.6 Design and Development of Chatbot based on Reinforcement Learning2.7 DNN based Speech Quality Enhancement and Multi-speaker Separation for Automatic Speech Recognition System2.8 Design and Development of Real-Time Music Transcription using Digital Signal ProcessingSection-3 Applications of Signal and Image Processing with Machine & Deep learning techniques3.1 Role of Machine Learning in Wrist Pulse Analysis3.2 An Explainable Convolutional Neural Network based Method for Skin Lesion Classification from Dermoscopic Images3.3 Future of Machine-Learning and Deep-Learning in Health-Care Monitoring System3.4 Usage of AI & Wearable IoT Devices for Healthcare Data: A Study3.5 Impact of IoT in Biomedical Applications using Machine and Deep Learning3.6 Wireless Communications using Machine Learning and Deep Learning3.7 Applications of Machine Learning and Deep Learning in Smart Agriculture3.8 Structural Damage Prediction from Earthquakes using Deep Learning3.9 Machine Learning and Deep Learning Techniques in Social Sciences3.1O Green Energy using Machine and Deep Learning3.11 Light Deep CNN Approach for Multi-Label Pathology Classification using Frontal Chest X-RayIndex

O autorze

Dr. Deepika Ghai is Assistant Professor of Signal and Image Processing at Lovely Professional University, India. Dr. Ghai received her PhD from Punjab Engineering College, India.Dr. Suman Lata Tripathi is Professor of VLSI Design at Lovely Professional University, India. She is an IEEE senior member and received her PhD in microelectronics and VLSI from MNNIT, Allahabad.Dr. Sobhit Saxena is Associate Professor at Lovely Professional University. He completed his PhD from IIT Roorkee in Nanomaterials.Dr. Manash Chanda is Assistant Professor in the Department of ECE, Meghnad Saha Institute of Technology, India. He received his PhD in Engineering from Jadavpur University in 2018.Dr. Mamoun Alazab is Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He has published 150+ research papers in international journals and conferences, such as IEEE Transactions on Industrial Informatics