Full Description
Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, it aims to be a definitive resource for those seeking a deep understanding of the rapidly evolving field of computational intelligence. The book's structure, content, and focus on practical applications position it as a valuable asset for both researchers and practitioners in the Artificial Intelligence and Machine Learning communities.
The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts and
their real-world applications.
Contents
Preface. PART I: VISUAL COMPUTING. Machine Learning/Deep Learning in Biometric Systems. Rolling Mean-based Real-time Activity Detection and Alert Generation using Deep Learning. PART II: SMART SYSTEMS AND IOT. A Triple Based Lightweight Authentication Scheme for Smart Grid and Smart Metering System. A Comparative Analysis of Cloud-Based Education and Skill Development in Smart Cities Context. Private Blockchain Based Encryption Framework using Computational Intelligence Approaches. Leveraging AI in Smart Healthcare for Future Hospitals: Potential Applications and Challenges. PART III: COMPUTATIONAL ALGORITHMS. Discrete Artificial Bee Colony Optimization Algorithm for Cyber-attack Detection to Mitigate Credential Stuffing in Cyber Defense. Qryptographix: Quantum Image Encryption via Random Gates. PART IV: AI AND HEALTHCARE. Handling Missing Data in Healthcare with Fuzzy Clustering Imputation. A Novel Weighted Ensemble Approach for Improved Brain Tumor Detection and Classification. Glioma Brain Tumour Grade Detection using Clinical Feature, Molecular Feature and ConvLSTM Network. Machine Learning for Ocular Disease Detection in Fundus Images. Index.
