This proceedings volume discusses topics on generative AIone of the most trending topics and application in every field of science and engineeringand machine intelligence. Chapters of this proceedings were presented at the International Conference on Mathematical Modeling in Computational Intelligence and Generative AI (Math-CIGAI), held at Koneru Lakshmaiah Education Foundation, Hyderabad, India, from 1920 June 2025. The book also discusses how to develop new products and automate the system by generating the new and improved models and improve decision making systems. It also discusses the applications of machine intelligence and generative AI in healthcare decision making, drug discovery, personalized care, synthetic data generation, automations, and many more. Topics on mathematical models such as adversarial networks and variational autoencoders are also discusses which are deployed to produce images for data augmentation, improving disease diagnosis and advanced medical imaging research areas. This volume is intended for researchers, academicians, and professionals.

Addresses healthcare challenges, using AI-powered solutions, in cancer, cardiovascular, pediatric and infectious disease Highlights solving real-world challenges like cancer diagnosis, equipment failure detection, farming and cybersecurity Explores next-gen AI concepts like agentic intelligence, self-evolving systems and swarm-based decision-making

Autorentext

Yu-Chen Hu is a Professor in the Department of Computer Science at Tunghai University, Taiwan, and holds a PhD from National Chung Cheng University. He is a senior IEEE member and active in multiple professional societies including the Chinese Cryptology and Information Security Association and Phi Tau Phi. His research spans digital forensics, signal processing, cybersecurity, data compression, computer networks, bioinformatics and deep learning. He has served on editorial boards of journals such as Advances in Multimedia, IET Image Processing, Algorithms, and more. His SCIE-indexed works focus on Covid-19 technologies, medical diagnostics by using CNNs, IoT networks, eHealth security and facial emotion recognition. Recognized among Stanford University s World s Top 2% Scientists (2019 2022), he received the 2023 Best Paper Award (Journal of Visual Communication and Image Representation), the 2014 EURASIP award, and was named a Highly Cited Researcher in 2012. He remains deeply committed to advancing intelligent systems and secure computing.

Debnath Bhattacharyya is a Professor in the Department of Information Technology at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, and a Visiting Professor at the University of Johannesburg, South Africa. He previously held invited faculty roles at Lincoln University, Malaysia, and Hannam University, South Korea. He earned his PhD from the University of Calcutta and MTech from West Bengal University of Technology. With over 300 Scopus-indexed and 160 Web of Science papers, he holds H-indices of 24 and 16, respectively. He is a Senior Member of IEEE, ACM, ACM SIGKDD, IACSIT, IAENG and a Life Member of CSI. An ACM Distinguished Speaker (2017 2020), he serves as PhD examiner for top Indian universities. His research spans security engineering, pattern recognition, multimodal biometric authentication, data mining and image processing. He reviews for IEEE, Elsevier, Springer journals and major conferences, and has authored 7 textbooks in Computer Science and Engineering.

Jaroslav Frnda is an Assistant Professor at the University of Zilina, Slovakia, specializin

Inhalt

A Hybrid Approach for Failure Detection in Industrial Machinery Using Graphical Neural Network with Random Decision Forest.- HaMobNet: MobileNetV2-Based Hand Gesture Recognition System with NLP Interface for Accessibility.- AI-Enhanced Smart Surveillance Using Autoencoders, YOLOv11, and FaceNet for Anomaly, Unauthorized Access, Unlawful Object, and Tamper Detection.- Transcriptomic Drivers of Asian Breast Cancer.