Driving Innovation by Dynamic Optimization

The Challenges of Reshaping Industry
1. Auflage 2026
ISBN: 978-1-394-31569-7
Verlag: Wiley

Buch, Englisch, 672 Seiten

Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimization and intelligent algorithms with this essential resource to optimization for the modern world.

The rapid evolution of artificial intelligence, machine learning, and data-driven optimization has transformed the landscape of scientific research and industrial innovation. This book presents a diverse and multidisciplinary collection of contemporary studies that advance theoretical foundations, computational techniques, and application-driven solutions across multiple domains to reflect the growing importance of optimization, intelligent systems, and hybrid analytical frameworks in solving complex real-world problems. This essential guide focuses on next-generation technologies such as AI-driven cybersecurity, dynamic optimization in 6G networks, fuzzy logic-based energy management, automated neural machine translation, and GAN-driven aerodynamic shape design, illustrating the synergy between intelligent algorithms and modern engineering systems. Whether you are a researcher, practitioner, or simply an enthusiast, this book will serve as an enlightening resource, providing valuable insights into the ever-evolving realm of optimization for the modern world.

Readers will find the volume: - Provides comprehensive coverage of the backgrounds, foundations, and theoretical ideas of optimization methods and their potential applications;
- Introduces applications of fuzzy sets for solving optimization problems in real-life scenarios;
- Explores the transformative potential of fuzzy sets for optimization across several domains like healthcare, finance, and education.

Audience

Researchers, academics, industry experts, scientists, and technologists looking for insights into advances across optimization theory, machine learning, deep learning, cybersecurity, healthcare analytics, energy systems, and intelligent decision-making.

Autoren/Hrsg.

Dey, Arindam

Kumar, Ranjan

Mohanty, Sachi Nandan

Kumar, T. Rajasanthosh

Fachgebiete

• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Preface xxiii

Part 1: Transforming Data Science and Machine Learning through Dynamic Optimization 1

1 Customized K-Means Clustering-Based Color Image Segmentation 3
Babitha Lokula, V. Uma Shankar, L. Sushanth Gagan and N. Sudarshan

2 Optimizing Financial Forecasts and Integrating Utility Mining with Machine and Deep Learning for Stock Market Price Prediction 17
Venkatram Vennam, Ch Ramesh Babu and Amjan Shaik

3 Enhancing OCR Adaptability in Multimodal Environments: Challenges, Opportunities, and Insights 41
Praveen Kumar Nelapati, Arindam Dey, Avi Das and Likitha Chowdary Botta

4 Text Generation, Classification, and Optimization Using Tokenization in NLP 55
Kuldeep Vayadande, Yogesh Bodhe, Ajit Patil, Amolkumar N. Jadhav, Devdatta K. Mokashi, Swapnil C. Mane, Dipali Ashutosh Alone and Praveenkumar Arjun Patel

5 Optimizing Decision Trees: Exploring Pruning Techniques and the Impact of Ensemble Classifiers 77
Suraj B. Madagaonkar, Ramyashree, Ishaan Singh, Aakarshee Jain, Harshitha G. M., Girija Attigeri and Ramya D. Shetty

6 Optimized Neural Machine Translation: A Review of Automated French-Hindi and Hindi-French Translation Systems 93
Chandan Vishwas

7 Optimizing Assignment Solutions: Integrating R and Python for Enhanced Workforce Efficiency 113
Bijin Sanny P.R., Ankit Dubey, Miriyala Navya Pratyusha, Arindam Dey and Ranjan Kumar

8 Practical Optimization: Big M with Python and R 125
Bijin Sanny P.R., Ankit Dubey, Miriyala Navya Pratyusha, Arindam Dey and Ranjan Kumar

9 Leveraging R and Python for Advanced Graphical Optimization Solutions 139
Bijin Sanny P. R., Ankit Dubey, Miriyala Navya Pratyusha, Arindam Dey and Ranjan Kumar

10 Linear Optimization: Simplex Method in Python and R 151
Bijin Sanny P. R., Ankit Dubey, Miriyala Navya Pratyusha, Arindam Dey and Ranjan Kumar

Part 2: Revolutionizing Healthcare with AI-Driven Optimization 163

11 Efficient Transfer Learning Methods for MIA: An Optimization Perspective 165
Ch. V. Bhargavi and K. Subhadra

12 Optimized Deep Learning Approach for Alzheimer's Prediction Using CNN on MRI Images 189
G. Deepika, M. Vazralu, Patil Meenakshi and D. Mounika

13 Precision Care: Exposing Machine Learning-Based Optimization Methods in Epileptic Seizure Diseases 207
Sunkara Mounika and Reeja S. R.

14 Optimized Deep Learning Models to Identify Skin Malignancy through Skin Lesion Images 235
Shaik Reshma and Reeja S.R.

15 Hybrid Optimization Techniques for Ayurvedic Medicine Recommendation: Bridging Tradition and Technology 269
Kuldeep Vayadande, Yogesh Bodhe, Ajit Patil, Amolkumar N. Jadhav, Devdatta K. Mokashi, Swapnil C. Mane, Radhika Mahesh Mane and Renuka Vinayak Jadhav

16 Entropy Optimization in Casson Tri-Mixed Nanofluid Flow on a Curved Sheet Utilizing the Cattaneo-Christov Model: Biomedical Applications 297
K. Sakkaravarthi, P. Bala Anki Reddy, N.N.V. Sakuntala and Vangapelli Nagaraju

Part 3: Engineering the Future: Optimization in Technology and Smart Systems 331

17 Optimized Performance of Grid-Integrated Hybrid Energy Systems Using Fuzzy Logic-Based MPPT 333
K. Vijaya Bhaskar Reddy, A. Murali, Srinivasa Rao Balasani, P. Venkata Kishore, Golla Naresh Kumar and D. Sri Varasidhi Vinay

18 Dynamic Optimization of 6G Networks with AI-Driven SDN Approaches 355
Rohit Kumar Das and Monali Bordoloi

19 Efficient EV Journeys: Balancing Route Optimization and Power Management 371
Simran Sahoo, Meenakshi Kandpal, Shivani Agarwal, Jyotirmayee Rautaray, Pranati Mishra and Manjit Patra

20 Optimization Techniques in AI-Driven Cybersecurity: Enhancing IoT and Social Media Security Frameworks 395
Kuldeep Vayadande, Yogesh Bodhe, Ajit Patil, Amolkumar N. Jadhav, Devdatta K. Mokashi, Swapnil C. Mane, Vijay Chougule and Rajkumar Kundlik Chougale

21 Efficient Book Genre Classification Using NLP and Optimization 425
Kuldeep Vayadande, Yogesh Bodhe, Ajit Patil, Amolkumar N. Jadhav, Devdatta K. Mokashi, Swapnil C. Mane, Praveenkumar Arjun Patel and Rajkumar Kundlik Chougale

22 A Data-Driven and Optimized Approach to Umpiring: Integrating AI and Machine Learning for Better Decision-Making 447
Aditya Guntupalli, Aravind Kumar Muddana, Karthika Thota, Kowshik Eswara Chaitanya Venigalla, Phani Kumar Turlapati, Siddhartha Paturi, Sravya Kusam and Mukkoti Maruthi Venkata Chalapathi

23 Automated Aerodynamic Shape Optimization through GAN-Driven 3D Model Generation 463
Matta Sai Kiran Goud, Anila Macharla, G. Kiran Kumar, Karthik Alluri and S. China Ramu

Part 4: Sustainable Growth: Dynamic Optimization in Agriculture, Environment, and Industry 485

24 Study of Optimization Techniques in Agriculture 487
Preethi Nanjundan, Indu P.V. and Lijo Thomas

25 An Optimization-Based Prediction Model for Agricultural Soil Health Using Stacking Ensemble Approach 509
Amjan Shaik, Vidya Rajasekaran, N. Arul and P. Deepan

26 A Multi-Objective Optimization Model for Enhancing Agricultural Supply Chain Management Using Genetic Algorithms 525
Vidya Rajasekaran, Amjan Shaik, Deepan P. and Arul Natarajan

27 Waste Management Optimization in Smart Cities 543
Dipayan Das, Kashi Nath Datta and Soumya Bhattacharyya

28 A Recommendation-Based Integrated Framework for Waste Management Using a Machine Learning Approach 565
N. Arul, Vidya Rajasekaran, Amjan Shaik and P. Deepan

29 From Toxicity to Transformation: Dynamic Optimization in Modern Organizations 589
Priyabrata Swain, Aradhna Malik and Aneerban Roy

30 Enhancing Portfolio Risk Optimization in R: From Mean-Variance Models to Bio-Inspired Algorithms 613
Kushagara Joshi, Srijan Batra, Sandeep Kumar Satapathy, Shruti Mishra, Afzal Hussain Shahid and Sachi Nandan Mohanty

References 628
Index 629

Über Autor(innen)

Arindam Dey, PhD is an Associate Professor in the School of Computer Science at the Vellore Institute of Technology, Tamil Nadu, India, with more than 14 years of teaching and research experience. He has published more than 50 research articles in national and international peer-reviewed journals. His research focuses on fuzzy optimization and genetic algorithms.

Sachi Nandan Mohanty, PhD is a Professor in the School of Computer Science and Engineering at the Vellore Institute of Technology, Tamil Nadu, India. He has authored and edited 42 books and published more than 120 articles in international journals of repute. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence.

Ranjan Kumar, PhD is an Assistant Professor at MLSM College, Darbhanga, Bihar, India, with more than ten years of experience in research, teaching, and industry. He is a reputed academician with significant contributions as a reviewer, associate editor, book editor, and editorial board member for internationally acclaimed research journals. His research in mathematics focuses on fuzzy optimization.

T. Rajasanthosh Kumar, PhD is an Associate Professor at Puducherry Technological University, Puducherry, India. He has published 35 articles in internationals journals and conferences and two textbooks and has 25 granted patents to his credit. His research focuses on mechanical design and manufacturing.