
Machine Learning Algorithms for Signal and Image Processing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing
Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks.
Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as:
* Speech recognition, image reconstruction, object classification and detection, and text processing
* Healthcare monitoring, biomedical systems, and green energy
* How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time
* Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection
Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
More details
Other editions
Additional editions


Persons
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
Content
Section-1 Machine & Deep Learning techniques for Image Processing
1.1 Image Features in Machine Learning
1.2 Image Segmentation and Classification using Deep Learning
1.3 Deep Learning based Synthetic Aperture Radar Image Classification
1.4 Design Perspectives of Multitask Deep Learning Models and Applications
1.5 Image Reconstruction using Deep Learning
1.6 Machine and Deep Learning Techniques for Image Super-Resolution
Section-2 Machine & Deep Learning techniques for Text and Speech Processing
2.1 Machine and Deep Learning Techniques for Text and Speech Processing
2.2 Manipuri Handwritten Script Recognition using Machine and Deep Learning
2.3 Comparison of Different Text Extraction Techniques for Complex Color Images
2.4 Smart Text Reader System for Blind Person using Machine and Deep Learning
2.5 Machine Learning Techniques for Deaf People
2.6 Design and Development of Chatbot based on Reinforcement Learning
2.7 DNN based Speech Quality Enhancement and Multi-speaker Separation for Automatic Speech Recognition System
2.8 Design and Development of Real-Time Music Transcription using Digital Signal Processing
Section-3 Applications of Signal and Image Processing with Machine & Deep learning techniques
3.1 Role of Machine Learning in Wrist Pulse Analysis
3.2 An Explainable Convolutional Neural Network based Method for Skin Lesion Classification from Dermoscopic Images
3.3 Future of Machine-Learning and Deep-Learning in Health-Care Monitoring System
3.4 Usage of AI & Wearable IoT Devices for Healthcare Data: A Study
3.5 Impact of IoT in Biomedical Applications using Machine and Deep Learning
3.6 Wireless Communications using Machine Learning and Deep Learning
3.7 Applications of Machine Learning and Deep Learning in Smart Agriculture
3.8 Structural Damage Prediction from Earthquakes using Deep Learning
3.9 Machine Learning and Deep Learning Techniques in Social Sciences
3.1O Green Energy using Machine and Deep Learning
3.11 Light Deep CNN Approach for Multi-Label Pathology Classification using Frontal Chest X-Ray
Index
List of Contributors
- Souid Abdelbaki
- Department of Electrical Engineering
- MACS Research Laboratory RL16ES22
- National Engineering School of Gabes
- Gabes University
- Gabes
- Tunisia
- Faris Almalki
- Department of Computer Engineering
- College of Computers and Information Technology
- Taif University
- Taif
- Kingdom of Saudi Arabia
- J. Anil Raj
- Department of Electronics and Communication
- Muthoot Institute of Technology and Science
- Kochi
- Kerala
- India
- and
- Department of Computer Science
- Cochin University of Science and technology
- Kochi
- Kerala
- India
- Sundaram Arun
- Department of Electronics and Communication Engineering
- Jerusalem College of Engineering
- Chennai
- India
- Anterpreet K. Bedi
- Department of Electrical and Instrumentation Engineering
- Thapar institute of Engineering and Technology
- Patiala
- Punjab
- India
- Suman Bera
- Department of Computer Science and Engineering
- National Institute of Technology
- Silchar
- Assam
- India
- Hutashan V. Bhagat
- Department of Computer Science and Engineering
- Sant Longowal Institute of Engineering and Technology
- Longowal
- Sangrur
- India
- Anupam Biswas
- Department of Computer Science and Engineering
- National Institute of Technology
- Silchar
- Assam
- India
- Angshuman Bora
- Department of Computer Science and Engineering
- National Institute of Technology
- Silchar
- Assam
- India
- Yogini D. Borole
- Department of E & TC Engineering
- G H Raisoni College of Engineering and Management
- SPPU Pune University
- Pune
- India
- Subham Chakraborty
- Department of Computer Science and Engineering
- National Institute of Technology
- Silchar
- Assam
- India
- Koneti Chandra Sekhar
- School of Electronics and Electrical Engineering
- Lovely Professional University
- Phagwara
- Punjab
- India
- Pratik Chattopadhyay
- Department of Computer Science and Engineering
- Indian Institute of Technology (Banaras Hindu University)
- Varanasi
- India
- Palungbam R. Chanu
- Electronics and Communication Engineering
- NIT Nagaland
- Chumukedima
- Nagaland
- Kaustav Chaudhury
- Electronics and Communication Engineering
- Heritage Institute of Technology
- Anandapur
- Kolkata
- India
- Aneeta Christopher
- Department of Electronics and Communication Engineering
- National Institute of Technology Calicut
- Calicut
- Kerala
- India
- Debangshu Dey
- Department of Electrical Engineering
- Jadavpur University
- Kolkata
- West Bengal
- India
- Thangaraju Dineshkumar
- Department of Electronics and Communication Engineering
- Kongunadu College of Engineering and Technology
- Trichy
- India
- Paul Fieguth
- Vision Image Processing Lab
- Department of Systems Design Engineering
- University of Waterloo
- Waterloo
- Canada
- Biswarup Ganguly
- Department of Electrical Engineering
- Meghnad Saha Institute of Technology
- Maulana Abul Kalam Azad University of Technology
- West Bengal
- India
- Deepika Ghai
- School of Electronics and Electrical Engineering
- Lovely Professional University
- Phagwara
- Punjab
- India
- R. Hari Kishan
- Department of Electronics and Communication Engineering
- National Institute of Technology Calicut
- Calicut
- Kerala
- India
- Samrina Hussain
- Department of Drug Design and Pharmacology
- University of Copenhagen
- Denmark
- Sumam M. Idicula
- Department of Artificial Intelligence and Data Science
- Muthoot Institute of Technology and Science
- Kochi
- Kerala
- India
- Hemlata M. Jadhav
- Electronics and Telecommunication Department
- Marathwada Mitra Mandal's College of Engineering
- Pune
- India
- Makarand M. Jadhav
- Electronics and Telecommunication Department
- NBN Sinhgad School of Engineering
- Pune
- India
- Neelu Jain
- Electronics and Communication Engineering Department
- Punjab Engineering College (Deemed to be University)
- Chandigarh
- India
- Smita Kaloni
- Department of Civil Engineering
- National Institute of Technology
- Uttarakhand
- India
- Maheshkumar H. Kolekar
- Department of Electrical Engineering
- Indian Institute of Technology
- Patna
- Bihar
- India
- Ranganathan Krishnamoorthy
- Centre for nonlinear Systems
- Chennai Institute of Technology
- Chennai
- India
- Ashish Kumar
- Department of Computer Science and Engineering
- Indian Institute of Technology (Banaras Hindu University)
- Varanasi
- India
- Kanak Kumar
- Electronics Engineering Department
- IEEE Member, Indian Institute of Technology (Banaras Hindu University)
- Varanasi
- India
- Sachin Kumar
- Department of Instrumentation and Control Engineering
- Dr B R Ambedkar National Institute of Technology
- Jalandhar
- India
- Sandeep Kumar
- Department of Electronics and Communications
- Sreyas Institute of Engineering and Technology
- Hyderabad
- Telangana
- India
- Sanjeev Kumar
- Department of BioMedical Applications (BMA)
- Central Scientific Instruments Organisation (CSIO)-CSIR
- Chandigarh
- India
- P. Leninpugalhanthi
- Department of EEE
- Sri Krishna College of Technology
- Coimbatore
- Tamil Nadu
- India
- Swanirbhar Majumder
- Department of Information Technology
- Tripura University
- Agartala
- Tripura
- India
- Debashish Malakar
- Department of Computer Science and Engineering
- National Institute of Technology
- Silchar
- Assam
- India
- Mudasir Maqbool
- Department of Pharmaceutical Sciences
- University of Kashmir
- Hazratbal
- Srinagar
- India
- Madhusudhan Mishra
- Department of ECE
- NERIST
- Nirjuli
- Arunachal Pradesh
- India
- Indiran Mohan
- Department of Computer science and Engineering
- Prathyusha Engineering College
- Chennai
- India
- Altaf Mulani
- Electronics and Telecommunication Department
- SKNSCOE
- Pandharpur
- India
- Sugata Munshi
- Department of Electrical Engineering
- Jadavpur University
- Kolkata
- West Bengal
- India
- Swarup Nandi
- Department of Information Technology
- Tripura University
- Agartala
- Tripura
- India
- Mohamed A. Naiel
- Vision Image Processing Lab
- Department of Systems Design Engineering
- University of Waterloo
- Waterloo
- Canada
- Gadamsetti Narasimha Deva
- School of Electronics and Electrical Engineering
- Lovely Professional University
- Phagwara
- Punjab
- India
- Soufiene B. Othman
- Department of Telecom, PRINCE Laboratory Research, IsitCom, Hammam Sousse, Higher Institute of Computer Science and Communication Techniques
- University of Sousse
- Sousse
- Tunisia
- Shanmugam Padmapriya
- Department of Computer Science Engineering
- Loyola Institute of...
System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.