Intelligent Networks and Systems (eBook, ePUB)

Advanced Technologies and Applications
Redaktion: Siddique, Nazmul; Kaiser, M Shamim; Haider Noori, Sheak Rashed; Arefin, Mohammad Shamsul

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 410
• Erscheinungstermin: 30. September 2025
• Englisch
• ISBN-13: 9781040421444
• Artikelnr.: 75393115

Autorenporträt

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.

Inhaltsangabe

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