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Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5.0 [Hardback]

Edited by (Chandigarh Engineering College), Edited by (IKG Punjab Technical University), Edited by (IKG Punjab Technical Univ), Edited by
  • Formāts: Hardback, 300 pages, height x width: 234x156 mm, weight: 557 g, 24 Tables, black and white; 83 Line drawings, black and white; 35 Halftones, black and white; 118 Illustrations, black and white
  • Sērija : Demystifying Technologies for Computational Excellence
  • Izdošanas datums: 12-Oct-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 0367720914
  • ISBN-13: 9780367720919
  • Hardback
  • Cena: 191,26 €
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  • Formāts: Hardback, 300 pages, height x width: 234x156 mm, weight: 557 g, 24 Tables, black and white; 83 Line drawings, black and white; 35 Halftones, black and white; 118 Illustrations, black and white
  • Sērija : Demystifying Technologies for Computational Excellence
  • Izdošanas datums: 12-Oct-2021
  • Izdevniecība: CRC Press
  • ISBN-10: 0367720914
  • ISBN-13: 9780367720919
"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, etc. 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 post graduate students, researchers, academicians, institutions, and professionals that are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science"--

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, etc. 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 post graduate students, researchers, academicians, institutions, and professionals that are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.



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.

Preface vii
Editor Biographies ix
Chapter 1 Breast Cancer Diagnosis Using Machine Learning and Fractal Analysis of Malignancy-Associated Changes in Buccal Epithelium
1(18)
Dmitriy Klyushin
Kateryna Golubeva
Natalia Boroday
Dmytro Shervarly
Chapter 2 Artificial Intelligence for Sustainable Health Care Advancements
19(18)
Ayesha Banu
Chapter 3 Identification of Lung Cancer Malignancy Using Artificial Intelligence
37(36)
Vinod Kumar
Brijesh Bakariya
Chapter 4 Deep Learning in Content-Based Medical Image Retrieval
73(20)
Harpal Singh
Priyanka Kaushal
Meenakshi Garg
Gaurav Dhiman
Chapter 5 Implication of Image Pre-Processing in Object Detection Using Machine Learning Techniques
93(20)
Neeru Mago
Jagmohan Mago
Sonia Mago
Rajeev Kumar Dang
Chapter 6 Forecasting Time Series Data Using Artificial Neural Network: A Review
113(18)
Sarbjit Singh
Kulwinder Singh Parmar
Harpreet Kaur
Jatinder Kaur
Chapter 7 Internet of Things: An Emerging Paradigm for Social Safety and Security
131(24)
Bhanu Sharma
Krishan Dutt Sharma
Archana Mantri
Chapter 8 Artificial Intelligence: Encouraging Students in Higher Education to Seize Its Potential
155(18)
Rajul Kumar
Karan Sehgal
Ankit Lai Meena
Chapter 9 Thermal Performance of Natural Insulation Materials for Energy Efficient Buildings
173(20)
R.K. Pal
Parveen Goyal
Shankar Sehgal
Chapter 10 Maximum Power Point Tracking Techniques for PV Framework under Partial Shaded Conditions: Towards Green Energy for Smart Cities
193(12)
Mohammad Junaid Khan
Anurag Choudhary
Chapter 11 Forecasting Energy Consumption Using Deep Echo State Networks Optimized with Genetic Algorithm
205(14)
V. Dinesh Reddy
Kurinchi Nilavan
G.R. Gangadharan
Ugo Fiore
Chapter 12 State-of-the-Art Natural Language Processing Techniques
219(30)
Tarun Jaiswal
Manju Pandey
Priyanka Tripathi
Chapter 13 Modern Approaches in HR Analytics towards Predictive Decision-Making for Competitive Advantage
249(20)
K. Guru
S. Raja
A. Umadevi
M. Ashok
Kumar Ramasamy
Chapter 14 Digital Transformation: Utilization of Analytics and Machine Learning in Smart Manufacturing
269(14)
Iman Raeesi Vanani
Akram Shaabani
Chapter 15 A Robust Cyber Security: Challenges and Opportunities
283(16)
Glimpse Salwan
Priyanka Kaushal
Surbhi Gupta
Padmalaya Nayak
Index 299
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.