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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.

At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.

Perlego offers two plans: Essential and Complete

Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.

Both plans are available with monthly, semester, or annual billing cycles.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.

Yes, you can access Intelligent Networks and Systems by Nazmul Siddique,Mohammad Shamsul Arefin,Sheak Rashed Haider Noori,M Shamim Kaiser in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

eBook ISBN

Topic

Subtopic

Business Intelligence

Index

Computer Science

Cover Page
Half-Title Page
Title Page
Copyright Page
Dedication Page
Contents
Preface
Contributors
Editors
Chapter 1 Communication Traffic Characteristics Reveal an IoT Device's Identity
Chapter 2 ESP32-based IoT Architecture for Multi-Data Center Monitoring with MQTT Protocol and Node-RED Analytics
Chapter 3 A Multi-Branch CNN-LSTM Based Human Activity Recognition Using Wearable and Smartphone Sensors
Chapter 4 Real-time Full-Stack University Bus Tracking System Based on IoT
Chapter 5 A Novel Technique for Classification of Motor Imagery EEG Signal Based on Deep Learning Approaches
Chapter 6 An Ensemble Learning Approach For Multiclass Skin Cancer Classification
Chapter 7 Analysing the Problems of Typical Building Management System in Bangladesh: An Approach to IoT Based Automated Building Management
Chapter 8 Strengthening Transparency, Privacy and Protection Against Political Intervention in Journalism using Blockchain and IPFS
Chapter 9 SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
Chapter 10 Intrusion Detection System for IoT Network Security via XGBoost
Chapter 11 Design & Analysis of an IoT Based Liquid Flow Control & Quality Monitoring System
Chapter 12 Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
Chapter 13 Wireless Synchronization of Multiple Motors for Industry 4.0 Using IoT Technology
Chapter 14 Design and Implementation of a Cost-Effective Automatic Water Pump Control System for Domestic Applications Using IoT
Chapter 15 An Automated Tool to Generate Requirement Diagrams from Natural Language Requirements
Chapter 16 Blockchain Methodology for Securing Data within Deep-learning based Prediction and Observation on Time-Security Trade-off
Chapter 17 Exploring the Intersection of Machine Learning and Explainable Artificial Intelligence: An Analysis and Validation of ML Models Through XAI for Intrusion Detection
Chapter 18 Enhancing E-Commerce Platforms with Proof of Authority: A Comprehensive Exploration and Application of Blockchain Consensus Mechanisms
Chapter 19 An Empirical Framework of Drowsiness Detection Using CNN
Chapter 20 Spam Email Detection using Comparative Machine Learning
Chapter 21 Color Image Encryption based on Multiple Chaotic Maps and Substitution Box
Chapter 22 A Machine Learning Approach to Predict the Workload of Virtual Machines in Green Cloud Computing
Chapter 23 Green Mobile Edge Computing System in 5G Based Medicare System
Chapter 24 Smart Railway Crossing System (SRCS) Using IoT Philosophy: Bangladesh Context
Chapter 25 Road Damage Detection and Classification using YOLOv7
Chapter 26 A Blockchain System for a Decentralized and Safe Educational Record Archive
Chapter 27 Efficient Location Prediction in MANETs using Machine Learning-Based Node Mobility Forecasting
Bibliography
Index

About this book

Frequently asked questions

Information

Table of contents