Book Cover

3D Perspective

Pencil Bitz Publishing

Artificial Intelligence and Machine Learning Emerging Trends, Innovations and Future Challenges

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Lead Editor

Dr. Akheel Mohammed

Associate Editor

Mrs. Rajalakshmi B

Section Editor

Mrs. Sowmiya P

Contributing Editor

Mr. Balaji D

About This Book

Artificial Intelligence and Machine Learning are rapidly evolving with innovations in deep learning, natural language processing, and automation. Emerging trends include ethical AI, explainability, and edge computing. Despite advancements, challenges such as data privacy, bias, security, and scalability remain critical for shaping a responsible and sustainable AI-driven future.

Book Specifications

Release Date

March 2026

Features

281 Pages, B&W/Color

ISBN

978-93-47785-17-7

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Book Details

Table of Contents: Innovations in Machine Learning: Techniques and Trends

1.Intelligent Automation and Deep Learning for Next-Generation Systems Page 01

Authors: Dr. Shilpa Muley

2. Explainable AI and Ethical Implications in Decision-Making Models Page 17

Authors: Mrs. Rajalakshmi B., MCA, M.Phil

3.Reinforcement Learning and Its Expanding Role in Autonomous Systems Page 37

Authors:Dr. S. Kalaivani

4. Artificial Intelligence for Climate Change Monitoring and Solutions Page 51

Authors:Mr. Balaji D., MCA

5.Computer Vision and Image Intelligence for Real-World Applications Page 69

Authors: Mrs. P. Sowmiya

6.Edge AI and Distributed Machine Learning for Smart Environments Page 84

Authors: Anirudh N M

7.AI-Driven Data Analytics for Business and Industrial Transformation Page 102

Authors:Rajashree Joshi, Ridhima Sehgal, Dr. P. Felcy Judith

8.Quantum Machine Learning: The Next Leap in Computational Intelligence Page 120

Authors:Dr. Akheel Mohammed, Md Mahebub Ali, Umme Hani Sara, Radhika Reddy D

9.AIfor Cybersecurity and Threat Detection in Digital Ecosystems Page 124

Authors:Mr. Vijaynag Tangirala (Ph.D.), Mrs. Nirmala Teegala (Ph.D.), Mrs. B. Shivani, Mr. Mugudumpuram Hari Prasad (Ph.D.)

10.Integrating AI and ML in Education, Healthcare, and Smart Governance Page 143

Authors: Neha Gautam

11.Frontiers of Artificial Intelligence and Machine Learning: Architectures,Applications, and Societal Impact Page 160

Authors:Mr. V. Sanjeeva Kumar, Mr. Alla Ananthateja, Mr. Pappu Aditya Sai Ganesh,Mr. Chinta Moses Raju

12.AI Powered Clinical Decision Systems: Learning Architecture,Explainability And Trustworthy AI Page 169

Authors: GeethuM Suresh, Akshaya K Panicker, Swathy C S, Athira Sankar

13.Next-Generation AI Systems: Deep Learning, Ethics, and Intelligent Decision Frameworks Page 177

Authors:Dr. Joycy K Antony

14.Machine Intelligence in the Data-Driven Era: Models, Optimization, and Real-World Deployments Page 189

Authors:Dr. N. R. Ananthanarayanan, Sangeetha V

15. Innovations in Artificial and ComputationalIntelligence: Algorithms,Systems, and Future Directions Page 201

Authors:Sreenivas Reddy Sagili

16.Intelligent Computing with AI and ML: Methods, Challenges, and CrossDomain Applications Page 213

Authors:Dr. Mohammed Abdul Khaleel, S. Naveen, Jagadeshwar Reddy Gogu, Farheen Sultana

17 Emerging AI Technologies and Machine Learning Models for Sustainable Digital Transformation Page 224

Authors:G. Mohana Priya

18 AI-Powered Intelligent Systems: Learning Architectures, Explainability, and Trustworthy AI Page 238

Authors:Dr. D. Sudhadevi

19 From Machine Learning to Cognitive Intelligence: Advances, Applications, and Governance Page 251

Authors:Dr. A. Seethai

Artificial Intelligence Engineering: Scalable Learning Models, Ethics,and Industrial Innovation Page 263

Authors:Dr. R. Karthikeyan