Omnipresence of Intelligent Systems in Modern Society

1. Auflage 2025
ISBN: 978-1-032-84202-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 254 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

In recent years, computational intelligence has emerged as a pivotal field at the intersection of computer science, artificial intelligence, and machine learning. This book explores the latest developments in computational systems and its diverse applications. The title Omnipresence of Intelligent Systems in Modern Society, reflects the book's focus on both theoretical foundations and practical implementations. The book emphasizes the indispensable role 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, AI, and ML could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, the book 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 AI 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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Gupta, Aditya

Kumar, Gautam

Gunjan

Chakraborty, Jayeeta

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

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.

Über Autor(innen)

Gautam Kumar is associated with the Department of Computer Science and Engineering (CSE) as an Assistant Professor at the National Institute of Technology Delhi, India. He has a PhD in CSE from the National Institute of Technology, Rourkela, India. His research includes image processing and computer vision, machine learning and deep learning, Robotics and healthcare applications.

Aditya Gupta is an Assistant Professor at Thapar Institute of Technology in Patiala, India. He has a PhD from Dr B R Ambedkar National Institute of Technology, Jalandhar, India. Aditya has contributed significantly to his field, having published numerous papers in esteemed journals and successfully concluded centrally funded research projects. His research focuses on machine learning, edge computing, and health informatics.

Gunjan is currently working as an Assistant Professor at the National Institute of Technology Delhi, India. She obtained a Bachelor's in Technology in 2012 from Maharishi Dayanand University, Haryana, India, and a Master’s in Technology from National Institute of Technology, Jalandhar, Punjab, India, in 2014. She also has a PhD in Computer Science and Engineering from the National Institute of Technology, Delhi, India. Her research interests include energy techniques in wireless sensor networks, machine learning, and health informatics.

Jayeeta Chakraborty is an Assistant Professor and Lecturer in the Computer Science and Engineering Department of Kalinga Institute of Industrial Technology, Bhubaneswar. She obtained a PhD in 2022 from National Institute of Technology, Rourkela. She received her Master’s degree from National Institute of Technology, Kurukshetra in the year 2017. Her current research interests include human gait analysis, pattern recognition, signal and image processing as well as data mining, recommendation systems, and semantic web. She has several publications in reputed (SCIE) journals and many international conferences. She is one of the authors of the book Modern Methods for Affordable Clinical Gait Analysis. She also has registered copyrights of "VizGaitAssist", a software tool for helping in clinical gait analysis.