This book contains select chapters on a broad spectrum of topics on artificial intelligence, machine learning, and computational methodologies. Presented at the 3rd International Conference on Computational Intelligent Systems (ICCIS2024), held at Kohat University of Science and Technology (KUST), Kohat, Pakistan, from 2 to 3 December 2024, it contains 27 chapters. Each chapter offers insightful perspectives on tackling real-world challenges through intelligent algorithms and systems, from optimizing traffic management in smart cities and enhancing healthcare diagnostics with machine learning to advancing information security and leveraging quantum deep learning for innovative applications.

The book explores practical implementations, such as intelligent sensors for highway monitoring, adaptive systems for residential energy efficiency, and groundbreaking technologies for humancomputer interaction. It provides a detailed analysis of the potential of computational intelligent systems to address complex issues across diverse domains, including healthcare, robotics, cybersecurity, and e-agriculture. The book is designed for researchers, students, and practitioners encapsulating the latest research findings and methodologies in the evolving landscape of intelligent systems. Whether understanding the theoretical concepts or exploring hands-on applications, readers will find this book a valuable resource for understanding the cutting-edge developments shaping the future of computational intelligence.

Explores a range of topics, such as AI, machine learning, neural networks, fuzzy logic and evolutionary algorithms Highlights applications in healthcare, robotics, cybersecurity, e-agriculture, smart cities and wearable technology Showcases the latest advancements in Li-Fi technology, deep learning and AI-driven frameworks for diagnostics

Autorentext

M. Irfan Uddin is Assistant Professor in the Institute of Computing, Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, Pakistan. He has received his education in computer science and has more than 19 years of teaching and research experience in prestigious organizations. Author of two books, he has published more than 100 research papers in international journals and conferences. He has participated in multiple international research projects and secured a patent from the United States Patent and Trademark Office.

Furqan Aziz is Lecturer in the School of Computing and Mathematical Sciences at the University of Leicester, since 2022. Earlier, he served as Research Fellow at the Institute of Cancer and Genomic Sciences, University of Birmingham, UK. He holds a Ph.D. in Computer Science from the University of York, UK. His research focuses on spectral graph theory, complex networks, machine learning, and bioinformatics, combining computational methods and theoretical frameworks to address challenges in data analysis and biological systems.

Hossein Jafari is Distinguished Professor in the Department of Mathematics at the University of South Africa. His expertise spans fractional differential equations, Lie symmetry, and bio-mathematics. His research bridges theoretical and applied mathematics, driving innovation in solving complex scientific and engineering problems. He is the author of several papers in prestigious journals and conferences.

Inhalt

Chapter 1. Towards Better AI: An Analysis of Clustering Algorithms in Machine Learning.- Chapter 2. An Explainable AI Framework for Chromosomal Anomaly Detection in Karyograms Using Grad-CAM and Advanced Neural Networks.- Chapter 3. Uncovering Temporal Trends of Desolation Among Social Media Users: A Data-Driven Analysis.- Chapter 4. Optimizing Intelligent Traffic Management for Smart Cities Using Ensemble Learning Algorithms.- Chapter 5. Optimizing Data Transfer in Hospitals using Li-Fi Technology.- Chapter 6. Collaborative IT security service in Generative Adversarial Network.- Chapter 7. Banknote Originality Verifiation using Deep Neural Network Classifier vs. Random forest.- Chapter 8. Crime Association Analysis in KPK, Pakistan: A Comprehensive Exploration.- Chapter 9. Artificial Intelligence based Adaptive Fan Speed Control for Residential Energy Efficiency and Optimal Comfort.- Chapter 10. A Robotic Arm Based Intelligent Biopsy System.- Chapter 11. Automatic Text Summarization by Using Deep Learning Models.- Chapter 12. Enhancing Maternal Balance: Comparative Analysis of Plantar Pressure Distribution Across and Visual Feedback Within Pregnancy Trimesters.- Chapter 13. Word-level Pakistani Sign Language Recognition.- Chapter 14. Enhancing Information Security: Proactive Detection, Vulnerability Remediation, and Systematic Risk Management.- Chapter 15. AI Based Learning System for Deaf Community Using machine learning techniques.- Chapter 16 Real-time communication between normal and deaf people using machine learning and 3D animation.- Chapter 17. AI-Driven Novel TL Approach for Efficient Classification of Brain Tumors using Deep CNNs.- Chapter 18. Advancements in Parkinson's Disease Diagnosis: Leveraging Technology from Biomarkers to Wearable Devices and Machine Learning. Chapter 19. Contexualizing Space Transition Theory: A Socio-Technical Exploratory Study of Cybercrimes in Khyber Pakhtunkhwa.- Chapter 20. Devising Muslim Name using Quantum Deep Learning.- Chapter 21. Intelligent Sensors for the Detection of Outlawed Vehicles on Highways.- Chapter 22. Enhancing News Summarization based on Advanced Deep Learning Models using the BBC News Dataset.- Chapter 23. Thermoelectric Energy Harvesting System for Wearable Electronics.- Chapter 24. The Art of Deception: Adversarial Network Strategies in Thwarting Airborne Object Detection.- Chapter 25. A Formal Approach for Developing Commercial E-Agriculture Application: An OCL Modelling Perspective.- Chapter 26. Performance Comparison of C++, Java and Python: A Comprehensive Analysis of Programming Languages.- Chapter 27. Comparing the Security and Efficiency of Keyless Data Encryption and Decryption Techniques for Big Data Processing.