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Next-Generation Intelligent Technologies for Engineering and Applied Sciences

SUBBARAO KOLAVENNU, NISHA RATHORE, E. MURALI, VIVEK RAVISHANKAR DUBEY

Indexed In: Google scholar

Release Date: 2025 | Copyright:©2025 | Pages: 417

DOI: 10.71443/9789349552432

ISBN10: 9349552434 | ISBN13: 9789349552432

Hardcover:$300

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Individual Chapters:$$35

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Next-Generation Intelligent Technologies for Engineering and Applied Sciences explores the frontier of technological advancements shaping modern engineering and scientific disciplines. The book delves into cutting-edge innovations in artificial intelligence (AI), machine learning, robotics, automation, and data analytics, focusing on their applications across various engineering domains. It highlights how these technologies are revolutionizing fields like manufacturing, energy, healthcare, and materials science, driving efficiencies, sustainability, and innovation. Designed for researchers, engineers, and students, this book provides valuable insights into how next-generation intelligent technologies are transforming engineering practices and fostering new solutions for real-world challenges in applied sciences.

This book covers a wide range of topics related to next-generation intelligent technologies and their transformative impact on engineering and applied sciences. It explores the integration of artificial intelligence, machine learning, and robotics in engineering practices, emphasizing their applications in automation, process optimization, and predictive maintenance. The coverage includes AI-driven advancements in materials science, manufacturing, and energy systems, highlighting innovations in smart grids, renewable energy, and energy storage solutions. Additionally, the book addresses emerging technologies in healthcare, such as precision medicine and intelligent diagnostic systems, along with advancements in smart infrastructure and sustainability practices. It provides a comprehensive analysis of how intelligent technologies are reshaping industries, enhancing efficiency, and driving sustainable development in applied sciences.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Foundations of Artificial Intelligence, Machine Learning, and Internet of Things

Vamsi Kumar Arava, Suganya S

(Pages:36)

Chapter 2

Applied Mathematics for AI and Engineering Problem Solving

Dharna Patel, Vijay Kumar Dwivedi

(Pages:39)

Chapter 3

Applied Physics Principles for Intelligent Systems and Devices

Kolla Narendra, Bikash Ranjan Mohapatra

(Pages:33)

Chapter 4

Computational Physics in AI-Driven Engineering Applications

Mousami V. Munot, Rageshri Bakare

(Pages:32)

Chapter 5

Chemical Processes and Material Science in Smart Technologies

Gandhi N, Y. Rama Govinda Reddy

(Pages:38)

Chapter 6

Role of Chemistry in Energy Storage and Sustainable Systems

Gandhi N, Kavitha J

(Pages:35)

Chapter 7

Artificial Intelligence–Enhanced English as a Foreign Language (EFL) Learning

Zakiuddin Mohammed

(Pages:37)

Chapter 8

Machine Learning Techniques for English Proficiency Assessment

A. Ajmal Khaan, Carmel Antonette Hankins

(Pages:34)

Chapter 9

Natural Language Processing for Automated Language Skill Evaluation

Kanchan Yogesh Bagul, Julius Irudayasamy

(Pages:31)

Chapter 10

AI-Based Communication and Soft Skills Development in Higher Education

Roseline Jesudas

(Pages:36)

Chapter 11

IoT and AI Applications in Plant Ecology and Environmental Monitoring

Gandhi N, Y. Rama Govinda Reddy

(Pages:34)

Chapter 12

Smart Agriculture Systems Using IoT and AI Technologies

Gandhi N, Y. Rama Govinda Reddy

(Pages:32)

Chapter 13

Electric Vehicle Architecture and Intelligent Energy Management Systems

Rajashekher Koyyeda, S. Muthurajan

(Pages:39)

Chapter 14

AI and ML Algorithms for Electric Vehicle Performance Optimization

V. M. Navaneethakrishnan, S. Muthurajan

(Pages:32)

Chapter 15

IoT-Enabled Charging Infrastructure and Smart Grid Integration for EVs

Ankarao Mogili, J. A. Baskar

(Pages:37)

Chapter 16

Future Trends in Intelligent Technologies and Interdisciplinary Applications

Jagdish Chand, Varsha Gawali

(Pages:36)


Contributions


Dr. SUBBARAO KOLAVENNU, Director R&D Sphoorthy Engineering College, Hyderabad. He is having 40 years of teaching and industrial research experience. His Ph.D and M.Tech in Computers is from IIT KHARAGPUR. He is a double M.Tech holder, the other is from JNTU Hyderabad in Advanced Electronics. He is having good command over Computer Programming, Python, Java, R-Prog, VLSI, Digital Electronics, Block Chain Technology, VAPT, IOT Systems, ML Algorithms, DataScience SQL...He published papers in both National and International journals. He authored and adopted more than 30 books. He received many awards and member in many professional bodies. Presently working on implementation of AI in Cyber Security, AI in Agriculture, Optimization of AI in all possible fields.

Nisha Rathore is an Assistant Professor at the Amity School of Engineering and Technology, Amity University Chhattisgarh, Raipur. She holds a strong academic foundation in Computer Science and Engineering, having earned her B.Tech. from Pranveer Singh Institute of Technology, Kanpur, and an M.Tech. from the National Institute of Technology, Patna. She is a GATE and UGC-NET qualified academician with a commendable research profile, marked by numerous paper publications in Scopus-, IEEE-, and Web of Science–indexed journals. Her scholarly contributions extend to two authored books, multiple book chapters, five edited books, two granted patents, and three published patents, reflecting her consistent engagement in research and innovation. Her research interests encompass Brain–Computer Interfaces, Soft Computing, Machine Learning, Fuzzy Logic, and Computer Networks. An active professional, she is a member of IAENG, ISTE, CSTA, IFERP, and the Institutional Innovation Council, where she actively fosters technological advancement and academic excellence. Beyond academia, through her self-help book “The Paradise of Ultimate Happiness,” she is dedicated to promoting student well-being, happiness, and holistic personal development, reinforcing her commitment to education with purpose and compassion.

Dr.E. Murali is working as an Associate Professor at Sathyabama institute of Science and Technology, Chennai, India. He received his Bachelor’s degree in B.E Computer Science and Engineering from Anna University Affiliated College and Master’s in M.Tech Computer Science and Engineering from Dr. MGR Research and Educational Institute. He received his Ph.D in Computer Science and Engineering from Vellore institute of Technology. As a part of research work an ontology based incremental mining model was developed. He has published papers in National, International journals and Conference. He has got teaching experience of 14 years and his areas of interest include artificial intelligence and machine learning, data mining, ontology mining and Knowledge engineering.

Dr. Vivek Ravishankar Dubey has been an engineering faculty for nearly 24 years and currently holds the position of Dean and Professor in the Department of CSE-AIML-AIDS at the Jai Narain College of Technology (JNCT), Bhopal. He graduated with a B.E. in CSE from MGM Nanded affiliated Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, and an M.Tech. in Computer Technology from the Government Engineering College affiliated Pt. Ravishankar Shukla University Raipur, Chhattisgarh. He awarded Ph.D. from Chhattisgarh Swami Vivekanand Technical University (CSVTU) in Chhattisgarh in CSE. In reputable international publications, he has published 21 research papers. At numerous international conferences, he has won multiple best paper prizes for his research studies. He also published for books and seven patents. His research interests include Data & Visual Analytics, Natural Language Processing (NLP), Web Technology, Machine Learning and Data Science, Analysis & Design of Computer Algorithm and Computer Programming. He is also associated with IT Software research based Company Curious Infotech Solutions, Ujjain.


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