Intelligent Networks and Systems

Advanced Technologies and Applications
1. Auflage 2025
ISBN: 978-1-032-64330-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 408 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 453 g

In today’s fast-evolving tech landscape, Intelligent Networks and Systems: Advanced Technologies and Applications 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, this book covers the key technologies shaping modern infrastructure.

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Kaiser, M Shamim

Siddique, Nazmul

Arefin, Mohammad Shamsul

Haider Noori, Sheak Rashed

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

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

Über Autor(innen)

Dr. 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.

Dr. 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.

Dr. 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.

Dr. 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.