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 2. Computer Science
    
 3. Artificial Intelligence
    
 4. Machine Learning - Design
    
 5. Industry 4.0, AI, and Data Science
    
    

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INDUSTRY 4.0, AI, AND DATA SCIENCE

DOI link for Industry 4.0, AI, and Data Science

Industry 4.0, AI, and Data Science book

Research Trends and Challenges
Edited ByVikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, Sunil Kumar
Chawla
Edition 1st Edition
First Published 2021
eBook Published 21 July 2021
Pub. Location Boca Raton
Imprint CRC Press
DOI https://doi.org/10.1201/9781003097181
Pages 282
eBook ISBN 9781003097181
Subjects Computer Science, Engineering & Technology, Mathematics & Statistics

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Citation

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Bali, V., Banerjee, K., Kumar, N., Gour, S., & Chawla, S.K. (Eds.). (2021).
Industry 4.0, AI, and Data Science: Research Trends and Challenges (1st ed.).
CRC Press. https://doi.org/10.1201/9781003097181
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ABSTRACT

The aim of this book is to provide insight into Data Science and Artificial
Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data
Science are becoming an essential part of industrial and academic research.
Varying from healthcare to social networking and everywhere hybrid models for
Data Science, Al, and Machine Learning are being used. The book describes
different theoretical and practical aspects and highlights how new systems are
being developed.

Along with focusing on the research trends, challenges and future of AI in Data
Science, the book explores the potential for integration of advanced AI
algorithms, addresses the challenges of Data Science for Industry 4.0, covers
different security issues, includes qualitative and quantitative research, and
offers case studies with working models. This book also provides an overview of
AI and Data Science algorithms for readers who do not have a strong mathematical
background.

Undergraduates, postgraduates, academicians, researchers, and industry
professionals will benefit from this book and use it as a guide.




TABLE OF CONTENTS


CHAPTER 1|11 PAGES

PREDICTING FRAUDULENT MOTOR VEHICLE INSURANCE CLAIMS USING DATA MINING MODEL

ByJacob Muchuchuti, Stewart Muchuchuti
Abstract
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CHAPTER 2|27 PAGES

NOVEL 8: 1 MULTIPLEXER FOR LOW POWER AND AREA EFFICIENT DESIGN IN INDUSTRY 4.0

ByTripti Dua, Anju Rajput, Sanjay Gour
Abstract
Get Access


CHAPTER 3|11 PAGES

DATA SCIENCE AND AI FOR E-GOVERNANCE

A Step towards Society 5.0
ByAmandeep Kaur, Neerja Mittal, P. K. Khosla
Abstract
Get Access


CHAPTER 4|24 PAGES

APPLICATION AREAS OF DATA SCIENCE AND AI FOR IMPROVED SOCIETY 5.0 ERA

BySneha Mishra, Priya Porwal, Dileep Kumar Yadav
Abstract
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CHAPTER 5|13 PAGES

APPLYING MACHINE-LEARNING AND INTERNET OF THINGS IN HEALTHCARE

ByPushpa Choudhary, Akhilesh Kumar Choudhary, Arun Kumar Singh, Arjun Singh
Abstract
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CHAPTER 6|19 PAGES

ARTIFICIAL INTELLIGENCE

The New Expert in Medical Treatment
ByAman Dureja, Aditi, Payal Pahwa
Abstract
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CHAPTER 7|13 PAGES

MACHINE LEARNING APPROACH FOR BREAST CANCER EARLY DIAGNOSIS

BySangeeta Mangesh, Vishesh Saxena, Utkarsh Tripathi, Yamini Gupta
Abstract
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CHAPTER 8|11 PAGES

INTELLIGENT SURVEILLANCE SYSTEM USING MACHINE LEARNING

ByAnshuman Jaiswal, Lavkush Sharma, Akshay Kumar, Suryansh Chauhan
Abstract
Get Access


CHAPTER 9|12 PAGES

CYBER SECURITY

An Approach to Secure IoT from Cyber Attacks Using Deep Learning
BySapna Juneja, Abhinav Juneja, Vikram Bali, Hemant Upadhyay
Abstract
Get Access


CHAPTER 10|15 PAGES

LEARNING THE DYNAMIC CHANGE OF USER INTERESTS FROM NOISE WEB DATA

ByJulius Onyancha, Valentina Plekhanova
Abstract
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CHAPTER 11|26 PAGES

ARTIFICIAL INTELLIGENCE TECHNIQUES BASED ROUTING PROTOCOLS IN VANETS

A Review
ByMamata J. Sataraddi, Mahabaleshwar S. Kakkasageri, Sunil kumar S. Manvi
Abstract
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CHAPTER 12|17 PAGES

A COMPARISON OF DIFFERENT CONSENSUS PROTOCOLS

The Backbone of the Blockchain Technology
ByArvind Panwar, Vishal Bhatnagar
Abstract
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CHAPTER 13|23 PAGES

BLOCKCHAIN IN AI

Review of Decentralized Smart System
ByVikas Goel, Narendra Kumar, Amit Kumar Gupta, Sachin Kumar
Abstract
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CHAPTER 14|10 PAGES

FINANCIAL PORTFOLIO OPTIMIZATION

An AI Based Decision-Making Approach
ByMansi Gupta, Sonali Semwal, Shivani Bali
Abstract
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CHAPTER 15|17 PAGES

INTELLIGENT FRAMEWORK AND METRICS FOR ASSESSMENT OF SMART CITIES

ByKrishna Kant Sharma, Arvind Maurya, Reema Thareja
Abstract
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