Artificial Intelligence, Machine Learning, and Data Science Technologies
Future Impact and Well-Being for Society 5.0
1st Edition
Published on 11. October 2021
310 pages
978-1-000-46052-0 (ISBN)
Description
This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.
The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other.
The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.
The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other.
The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Illustrations
24 Tables, black and white; 83 Line drawings, black and white; 35 Halftones, black and white; 118 Illustrations, black and white
ISBN-13
978-1-000-46052-0 (9781000460520)
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
Neeraj Mohan | Ruchi Singla | Priyanka Kaushal
Artificial Intelligence, Machine Learning, and Data Science Technologies
Future Impact and Well-Being for Society 5.0
Book
10/2024
1st Edition
CRC Press
€74.90
Shipment within 15-20 days
Neeraj Mohan | Ruchi Singla | Priyanka Kaushal
Artificial Intelligence, Machine Learning, and Data Science Technologies
Future Impact and Well-Being for Society 5.0
Book
10/2021
1st Edition
CRC Press
€206.90
Shipment within 15-20 days
Neeraj Mohan | Ruchi Singla | Priyanka Kaushal
Artificial Intelligence, Machine Learning, and Data Science Technologies
Future Impact and Well-Being for Society 5.0
Book
10/2021
CRC Press
Unfortunately, price unknown
Available (delivery time upon request)
Persons
Neeraj Mohan is a passionate researcher and academician. His research interest areas are Network Traffic Management and Digital Image Processing. He is working as Assistant Professor in Computer Science & Engineering Department in I.K. Gujral Punjab Technical University, Kapurthala (Punjab) India. He has a rich and quantitative academic experience of 19 years at various positions. He did his Doctoral degree from I.K. Gujral Punjab Technical University, Kapurthala (Punjab) India. He is an active researcher with more than 50 research papers in reputed journals and conferences. He has 01 published patent. He has guided 01 Ph.D. and 17 M.Tech thesis. 02 more Ph.D. thesis are in pipeline.
Ruchi Singla offers a unique skillset and expertise of PhD in Wireless Communication from Thapar University, Patiala, with diploma in Entrepreneurship from Ashton College, Vancouver and Certification course in "Growth Strategies and Management" from IIM, Kolkata. She is the Professor in Department of Electronics and Communication and is also the Dean Research for the research division. She is currently coordinating the start-ups, paper publications, research projects, consultancy and events related to research and innovation. She has 18 years of experience in teaching and research domains. Her areas of interest include Antennas and Biosensors. She has approximately 35 research publications in reputed international and national journals having good Impact factor. Additionally, she has 3 published patents. She has also worked on various DST funded projects like Greenhouse monitoring system and Electrotiles.
Priyanka Kaushal is working as Associate Professor in Applied Sciences department at Chandigarh Engineering College, Landran (Mohali), Punjab, India. She did her Master degree from Himachal Pradesh University, Shimla, India and Doctoral degree from IK Gujral Punjab Technical University, Punjab, India. She has published 20+ research papers in reputed journals and conferences. She has delivered many exert talks in seminars and workshops. She has acted as reviewer for many reputed journals such as Advanced Materials Science (SCI Indexed), Mechanics of Advanced Materials and Structures (Taylor & Francis, SCI indexed), Materials Today: Proceedings (Elsevier, SCI Indexed) etc. She has 02 published patents.
Seifedine Kadry has a Bachelor degree in applied mathematics in 1999 from Lebanese University, MS degree in computation in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in engineering science in 2017 from Rouen University. At present his research focuses on education using technology, system simulation, operation research, system prognostics, stochastic systems, and probability and reliability analysis. He is an ABET program evaluator. He is the editor in chief of Research journal of mathematics and statistics & ARPN Journal of Systems and Software. He is the associate editor of international journal of applied sciences (IJAS) and editorial board member of International Journal of Mathematics and Statistics, Journal of Theoretical and Applied Information Technology and International Journal of Engineering and Applied Sciences. He has published more than 270 research items out of which it has been cited 1700 times, his h-index is 18 and i10-index is 40.
Ruchi Singla offers a unique skillset and expertise of PhD in Wireless Communication from Thapar University, Patiala, with diploma in Entrepreneurship from Ashton College, Vancouver and Certification course in "Growth Strategies and Management" from IIM, Kolkata. She is the Professor in Department of Electronics and Communication and is also the Dean Research for the research division. She is currently coordinating the start-ups, paper publications, research projects, consultancy and events related to research and innovation. She has 18 years of experience in teaching and research domains. Her areas of interest include Antennas and Biosensors. She has approximately 35 research publications in reputed international and national journals having good Impact factor. Additionally, she has 3 published patents. She has also worked on various DST funded projects like Greenhouse monitoring system and Electrotiles.
Priyanka Kaushal is working as Associate Professor in Applied Sciences department at Chandigarh Engineering College, Landran (Mohali), Punjab, India. She did her Master degree from Himachal Pradesh University, Shimla, India and Doctoral degree from IK Gujral Punjab Technical University, Punjab, India. She has published 20+ research papers in reputed journals and conferences. She has delivered many exert talks in seminars and workshops. She has acted as reviewer for many reputed journals such as Advanced Materials Science (SCI Indexed), Mechanics of Advanced Materials and Structures (Taylor & Francis, SCI indexed), Materials Today: Proceedings (Elsevier, SCI Indexed) etc. She has 02 published patents.
Seifedine Kadry has a Bachelor degree in applied mathematics in 1999 from Lebanese University, MS degree in computation in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in engineering science in 2017 from Rouen University. At present his research focuses on education using technology, system simulation, operation research, system prognostics, stochastic systems, and probability and reliability analysis. He is an ABET program evaluator. He is the editor in chief of Research journal of mathematics and statistics & ARPN Journal of Systems and Software. He is the associate editor of international journal of applied sciences (IJAS) and editorial board member of International Journal of Mathematics and Statistics, Journal of Theoretical and Applied Information Technology and International Journal of Engineering and Applied Sciences. He has published more than 270 research items out of which it has been cited 1700 times, his h-index is 18 and i10-index is 40.
Content
Part 1: Healthcare. 1. Deep Learning Approaches for Better Medical Imaging. 2. Use of Artificial Intelligence (AI) in Healthcare. 3. Computer Vision and Biomedical Imaging. 4. Disease Diagnosis and Prediction Using Machine Learning. 5. AI and ML Based Mathematical Models for Better Healthcare. Part 2: Human and Society. 6. Internet of Things (IoT) Applications for Safety and Security. 7. Use of AI and Data Science Tools for Fraud and Risk Detection. 8. Probabilistic Predictive Mathematical Tools for Data Science. 9. Natural Language Processing for Human Assistant Systems. 10. Energy Efficient Green Cities. 11. Futuristic Networks. Part 3: Industry and Business Applications. 12. Technology Driven Strategic Business Plans. 13. Data Science Applications for Decision-Making. 14. IOT Based Recommender Systems. 15. Optimization Techniques for Strategic Decision-Making. 16. Technology for Robust Cyber Security.
