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.
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.
Preface Contributors Editors
1. Communication Traffic Characteristics
Reveal an IoT Devices 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
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.
