Editors: Pancham Singh, Avinash Kumar Sharma, Mrignainy Kansal, Amarjeet Prajapati

Application of Artificial Intelligence in Production and Services

eBook: US $69 Special Offer (PDF + Printed Copy): US $125
Printed Copy: US $90
Library License: US $276
ISBN: 979-8-89881-418-2 (Print)
ISBN: 979-8-89881-417-5 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988141751260101

Introduction

Applications of Artificial Intelligence in Industry and Services explores the integration of machine learning, data analytics, intelligent automation, and emerging AI technologies within the context of Industry 4.0, demonstrating their transformative impact on operational efficiency, decision-making, and service innovation.

The book is organized to guide readers from the fundamentals of artificial intelligence to advanced sector-specific applications. Initial chapters introduce core concepts and enabling technologies, including machine learning, deep learning, natural language processing, and computer vision. Subsequent chapters examine AI-driven solutions across diverse domains, including manufacturing, healthcare, finance, supply chain management, smart cities, and service operations. Emerging topics, including explainable AI, ethical and responsible AI practices, human–AI collaboration, and AI-enabled digital twins, are also explored through frameworks, case studies, and performance analyses.

The book offers multidisciplinary perspectives and state-of-the-art methodologies to highlight the opportunities and challenges associated with deploying intelligent systems, while also offering practical insights into the design, implementation, and evaluation of scalable and responsible AI solutions.


Key Features

  • - Discusses the role of AI technologies and their role in shaping Industry 4.0 with detailed discussions on machine learning, deep learning, natural language processing, and computer vision.
  • - Covers emerging topics such as explainable AI, ethical AI, digital twins, and human–AI collaboration. Integration of real-world case studies, frameworks, and performance evaluations.
  • - Multidisciplinary perspectives combining theoretical concepts with practical deployment strategies and applications across manufacturing, healthcare, finance, supply chains, smart cities, and service management.

Target Readership :

The book is primarily intended for researchers, academics, postgraduate students, and industry professionals in artificial intelligence, computer science, information technology, and industrial engineering.

Foreword

- Pp. i
Girija Chetty
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Preface

- Pp. ii-iii (2)
Pancham Singh, Avinash Kumar Sharma, Mrignainy Kansal, Amarjeet Prajapati
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List of Contributors

- Pp. iv-vi (3)

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A Journey Through the Evolution of Code Smell Detection Tools and Techniques

- Pp. 1-35 (35)
Shivani Jain, Anju Saha*

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A Novel Extraction of Features for a Speech Recognition System in a Noisy Environment using Machine Learning

- Pp. 36-54 (19)
Princy Tyagi*, Preeti Jain

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AI for Social Goods: Applications in Environment Sciences and Sustainability

- Pp. 55-70 (16)
Juhi Sharma*, Kratika Pathak, Ayushi Bhatnagar, Vinay Choudhary, Sonika Niraj Motan

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Android Application for Blind People

- Pp. 71-87 (17)
Asmita Yadav*, Yash Singh, Tushar Gupta, Atul Sharma

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Application of AI in the Education Sector with special Reference to India and the USA

- Pp. 88-102 (15)
Arpit Saxena*, Ashi Agarwal, Ajay Bahadur, Laxmi Pandey, Vinesh, Rashi Singhal

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Artificial Intelligence (AI) Powered Pedagogy: Transforming Education Through Personalization and Automation

- Pp. 103-133 (31)
R. Venkatesh*

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Automated Transcription System for Medical Prescriptions: Merging Technology and Healthcare

- Pp. 134-149 (16)
Asmita Yadav*, Mufti Mohammad Usman, Anurag Sati, Sidham Jain

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Enhancing Education using AI

- Pp. 150-165 (16)
Saurabh Singhal*, Asheesh Tiwari, Ajeet Kumar Sharma, Rakesh Kumar, Avinash Kumar Sharma

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Prediction of Air Quality Parameters (NO2 and SO2 ) in Smart Cities Using Seasonal Data: A Comprehensive Analysis

- Pp. 166-178 (13)
Pancham Singh*, Mrignainy Kansal, Gagan Tyagi

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Producing Optimized Test Suites in Software Testing Using a Many-Objective Feedback-Based Model and Differential Evolution Algorithm

- Pp. 179-202 (24)
Updesh Kumar Jaiswal*, Pawan Kumar, Jaishree Jain, Ruchira Goel, Mradul Kumar Jain, Deepika Yadav

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Revolutionizing Drug Discovery and Development through AI and IoT

- Pp. 203-225 (23)
Bharti Chugh*, Pankaj Bhatt, Kranthi Kumar K., Anasuya Patil, Vema Kiran, Jayasankar Narayanan

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The Future of AI: Quantum Computing and Beyond

- Pp. 226-253 (28)
C. Chellaswamy*, G. Gandhimathi, Uma Maheshwari K., C. Reginamary

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Towards Safer Roads: Detecting Distracted Driver Behavior in Visual Media

- Pp. 254-271 (18)
Shweta Ran*, Preeti Garg

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Subject Index

- Pp. 272-276 (5)
Pancham Singh, Avinash Kumar Sharma, Mrignainy Kansal, Amarjeet Prajapati
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