Intelligent Networks and Systems: Advanced Technologies and Applications
Editat de Nazmul Siddique, Mohammad Shamsul Arefin, Sheak Rashed Haider Noori, M Shamim Kaiseren Limba Engleză Hardback – 29 sep 2025
Balancing technical depth with clear, engaging writing, this book is designed for researchers, industry professionals, and tech enthusiasts alike. It not only unpacks the latest advancements but also examines ethical and regulatory challenges as intelligent networks become more integrated into everyday life.
As these technologies continue to transform industries, this book serves as a vital resource for staying ahead. Whether you're looking to deepen your expertise or apply these concepts in practice, this book will guide and inspire your journey into the future of intelligent technology.
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Specificații
ISBN-13: 9781032643304
ISBN-10: 1032643307
Pagini: 410
Ilustrații: 478
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.92 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 1032643307
Pagini: 410
Ilustrații: 478
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.92 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Academic and PostgraduateCuprins
Preface Contributors Editors 1. Communication Traffic Characteristics Reveal an IoT Device’s Identity 2. ESP32-based IoT Architecture for Multi-Data Center Monitoring with MQTT Protocol and Node-RED Analytics 3. A Multi-Branch CNN-LSTM Based Human Activity Recognition Using Wearable and Smartphone Sensors 4. Real-time Full-Stack University Bus Tracking System Based on IoT 5. A Novel Technique for Classification of Motor Imagery EEG Signal Based on Deep Learning Approaches 6. An Ensemble Learning Approach For Multiclass Skin Cancer Classification 7. Analyzing the Problems of Typical Building Management System in Bangladesh: An Approach to IoT Based Automated Building Management 8. Strengthening Transparency, Privacy and Protection Against Political Intervention in Journalism using Blockchain and IPFS 9. SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification 10. Intrusion Detection System for IoT Network Security via XGBoost 11. Design & Analysis of an IoT Based Liquid Flow Control & Quality Monitoring System 12. Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME 13. Wireless Synchronization of Multiple Motors for Industry 4.0 Using IoT Technology 14. Design and Implementation of a Cost-Effective Automatic Water Pump Control System for Domestic Applications Using IoT 15. An Automated Tool to Generate Requirement Diagrams from Natural Language Requirements 16. Blockchain Methodology for Securing Data within Deep-learning based Prediction and Observation on Time-Security Trade-off 17. Exploring the Intersection of Machine Learning and Explainable Artificial Intelligence: An Analysis and Validation of ML Models Through XAI for Intrusion Detection 18. Enhancing E-Commerce Platforms with Proof of Authority: A Comprehensive Exploration and Application of Blockchain Consensus Mechanisms 19. An Empirical Framework of Drowsiness Detection Using CNN 20. Spam Email Detection using Comparative Machine Learning 21. Color Image Encryption based on Multiple Chaotic Maps and Substitution Box 22. A Machine Learning Approach to Predict the Workload of Virtual Machines in Green Cloud Computing 23. Green Mobile Edge Computing System in 5G Based Medicare System 24. Smart Railway Crossing System (SRCS) Using IoT Philosophy: Bangladesh Context 25. Road Damage Detection and Classification using YOLOv7 26. A Blockchain System for a Decentralized and Safe Educational Record Archive 27. Efficient Location Prediction in MANETs using Machine Learning-Based Node Mobility Forecasting Index
Notă biografică
Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.
Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.
Sheak Rashed Haider Noori is a professor and Head of CSE at Daffodil International University, Dhaka. He has extensive experience in European and Asian IT industries, focusing on AR/VR, gamification, and mobile computing. His contributions to research and software development have shaped modern computing paradigms.
M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.
Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.
Sheak Rashed Haider Noori is a professor and Head of CSE at Daffodil International University, Dhaka. He has extensive experience in European and Asian IT industries, focusing on AR/VR, gamification, and mobile computing. His contributions to research and software development have shaped modern computing paradigms.
M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.
Descriere
This book explores cutting-edge innovations in intelligent systems and their real-world impact. From smart grids and IoT applications to machine learning-driven network optimization and cybersecurity, it covers the key technologies shaping modern infrastructure.