Information and Communication Systems

Nagaraja B. G., S. Kannadhasan

• Publisher: CRC Press
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9781040580578
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

This book looks closely at the latest insights and developments in information and communication systems, with particular emphasis on the use of advanced technologies like smart antennas, wireless communication, artificial intelligence, the Internet of Things (IoT), and signal processing.

The chapters included in this volume connect theoretical principles with practical applications to explore a key theme – building reliable and sustainable communication infrastructures through noise-resistant speech technologies, network security, and advanced wireless systems. Taking a multidisciplinary approach, the research contributions contained in this book illustrate how the combination of intelligence and soft computing techniques with communication systems can improve performance, reliability, and scalability.

The book is intended for researchers, academicians, industry professionals, and postgraduate students in rapidly evolving fields of electronics, communication engineering, and computer science. It will also benefit practitioners seeking practical insights into emerging technologies, as well as policymakers and innovators aiming to bridge academic research with industrial applications.

Table of contents

• Cover
• Title Page
• Copyright
• Table of contents
• Preface
• Editor biographies
• Committees
• Adaptive and fair job recommendation system using skill evolution and bias mitigation techniques
• GDI-based low latency sense amplifier design
• Non exponential antipode antenna with improved directivity
• Active learning for improved semi-supervised semantic segmentation in echocardiography
• Parallel brute-force decryption tool with grammar and structure validation for enhanced cryptographic cracking efficiency
• Diabetic retinopathy detection using deep learning with inception V3
• Age-related macular degeneration using deep learning models and GAN data augmentation
• Hybrid blockchain for historical document preservation: Securing authenticity and accessibility with Ethereum and IPFS
• NBBZVF: NFT-blockchain based ZKPs verification system in healthcare
• Intelligent robot for delivering medicine, transporting lab samples in hospitals
• Multiple facial recognition and automated attendance posting: A modern approach
• Enhancing skin disease classification through GAN-generated synthetic model for improved CNN training and generalization
• ICIP: An integrated approach for AI image generation using stable diffusion
• AI-powered electronic health report optimization using wearable IoT
• NBBZVF: NFT-blockchain based ZKPs verification system in healthcare
• Dynamic programming approach for solving variational problems in computer vision
• QuMail: A framework for enhancing email security using quantum key distribution
• Image caption generator for assistive technology: Enhancing accessibility for visually impaired users
• Indian sign language recognition, to assist communication between the hearing impaired
• A comparative study of techniques for network anomaly detection
• Early detection of skin diseases using deep learning approaches
• Machine learning approaches for accurate iris segmentation
• Virtual project review system for streamlined evaluation and performance optimization
• Automated abdominal organ segmentation and surgery recommendation system using U-Net and voting classifier
• Comprehensive IoT-driven home automation
• AI-driven smart monitoring system for enhancing productivity and well-being in educational and workplace environments
• Real-time emotion detection: A robust framework for facial expression recognition with dynamic emoji representation
• Intrusion detection system using machine learning models
• Enhancing image segmentation accuracy through generative adversarial
• Integration of speech enhancement with zero-crossing rate and energy-based voice activity detection
• The hidden threat: Navigating zero-day vulnerabilities in today’s digital landscape
• Enhancing voice activity detection: Integrating speech enhancement for robust noise resilience
• Efficient traffic surveillance: Automatic accident detection through object tracking and trajectory conflict analysis
• Word level speech emotion transformation for Kannada language
• Framework for real time sign language detection
• Traffic prediction using machine learning: A comparison of LSTM, random forest, and gradient boosting approaches
• A study on multimodal approach for early detection of tuberculosis using deep learning
• Prosthetic therapeutic device with full-hand support and ankle action for lower limb amputees
• Multi label Malaysia sayur vegetable image classification using convolutional neural networks and transfer learning techniques
• An empirical study on integrating machine learning and deep learning models for autism spectrum disorder diagnosis
• A novel approach to document similarity retrieval using sentence transformers and vector databases
• PDF query tool using LLMs: Enhancing document interaction and analysis
• UWB claw-shaped slot patch antenna for sub 6 GHz 5G/ LTE/ satellite applications
• Neural network-based protective mask detection platform
• An improved and efficient CNN approach for generalizable plant leaf disease classification
• A machine learning approach to stress prediction and its accuracy based on sleep and heart rate metrics
• Exploring the potential of compressed domain for computer vision applications
• AI algorithms for ultralow level Constraint devices
• Enhancing LLM-based question answering through isolated contextual knowledge graphs
• Implementation of a hand gesture controlled Rover: A wireless approach to intuitive navigation and directional control
• Deep learning-based bird species classification using acoustic features: A convolutional neural network approach
• Optimization-based path smoothing for autonomous vehicles in complex parking environments using hybrid path planning algorithms
• Anomaly detection in videos using spatio temporal features
• A hierarchical adaptive approach for feature selection in multiclass classification of DDoS attack
• Real-time voice-to-voice translation using bert nlm and hugging face transformers
• Optimized URL-based phishing detection using advanced machine learning algorithms
• Past, present and future of data and security issues in the V2X environment
• Development of quantum circuits with a focus on squraring, multiplying devices for low power VLSI circuits using Quantum Dot Cellular Automata theory
• Machine learning-based prediction of piezoelectric charge coefficient in porous ferroelectric materials
• A resilient image watermarking approach using stationary wavelet transform and discrete wavelet domain
• Enhanced robust image watermarking using advanced wavelet transforms and deep learning-based optimization
• A comparative review of machine learning-based techniques for system log anomaly detection
• AI-driven diagrammatic representation parsing and automated evaluation system
• Quantum secure and resilient 5G network slicing
• Real-time 5th generation network protocol analyzer: Performance evaluation using wireshark on user equipment
• Implementation of CPU scheduling algorithms using data structures
• A review on fruit quality assessment through machine learning algorithms
• Thermal screening and object tracking for multiple space applications using hybridized digital imaging concepts
• MDP and deep reinforcement learning for optimized task off-loading in blockchain-enabled edge-cloud systems
• Enhancing secured device-to-device communication in 5G networks using open5GS and UERANSIM
• Design and implementation of next generation MIMO systems using zero-forcing precoding algorithm: An evaluation of signal recovery performance
• Integrating rule-based IDS, cuckoo search algorithm, Deep Packet Inspection (DPI), and Gaussian Mixture Models (GMM) for AI-enhanced data privacy in cloud-edge computing
• Privacy-aware cloud e-commerce optimization using PGNN, DBSCAN-GA, and federated learning techniques
• Optimized multiclass classification of DDoS attacks in IoT networks with hybrid feature selection technique
• A comprehensive study on detection of autism signs through visual attention features and machine learning models
• An optimized wideband semi-fractal square patch antenna for Ku-band applications
• Alzheimer’s disease detection using deep learning models
• Suika game: Unity-driven gameplay enhanced with flask-based machine learning integration
• Improving accessibility in learning using visual question answering and eye gaze insights
• A review paper on the RISC-V vector extensions in supporting parallelism architecture
• A review on FPGA implementation of ECC enabled memory controller using AXI protocol
• Hopelink: A multifaceted donation and support application using medmatch algorithm
• Implementing static inductive charging technology for electric vehicles
• Flash memory controller design using System Verilog
• Design and implementation of a hardware accelerator for convolutional neural networks
• Topological analysis of HIV/AIDS drugs using graph theory, linear regression models, and data science approaches
• Design and implementation of a license-controlled vehicle emission monitoring system using PIC microcontroller
• A hybrid approach for mobile traffic classification: Integrating multimodal feature representation and machine learning
• Robust hybrid watermarking for image authentication using DWT-DCT-SVD and cryptography
• IoT-Raspberry Pi and GAN network based safety robot for industrial laboratory safety
• Development of a channel estimation model technique for sixth generation mobile communication systems with increased efficiency and reduced channel losses
• Maximizing the sensor network lifespan through solar energy harvesting on great Duck Island Project
• Leveraging deep learning for predictive short video analytics
• Sensor driven safety: Machine learning for autonomous vehicle accident prediction
• Enhancing electromagnetic noise mitigation capacity in folded cascode Opamp in 90nm technology
• Student engagement prediction: Bridging learning analytics and AI
• Adaptive load frequency control using artificial neural networks for enhanced grid stability
• ProShed: An interactive educational tool for analysing CPU scheduling algorithms
• Improving automated test case generation with PSO and MCMC: A pattern recognition approach in software testing
• KMAC-based API security with GRU-Dropout for high-performance intrusion detection in IoT-SDN networks
• Enhancing fraud detection in insurance with CNN-based customer behavior analysis
• Hybridized deep learning-driven Bayesian Decision Networks with Firefly-Simulated Annealing optimization for anomaly detection in cloud-based e-commerce
• Performance evaluation of verilog-implemented MIMO detection algorithms for hardware-based wireless systems
• Alzheimer’s disease classification with deep learning techniques
• Deep learning-based classification framework for precise plant disease identification
• Adaptive relative reflection harris hawks optimization based multipath routing in IoT-based MANET for secure data transmission
• An adaptive motion planning framework for robotics automation using HS-CLAHE and NFPFLU-ResNet50 for pick-and-place operations
• Multimodal machine translation
• Autonomous solar panel cleaning system with smart IoT connectivity
• Fuzzy logic-based early warning system for at-risk students in Indian e-learning contexts using machine learning
• Enhanced image understanding via deep learning
• Advanced threat perception and personalized alert system using YOLOv8 model
• Deep learning based lane detection and tracking for autonomous vehicles
• An approach for thyroid disease detection using machine learning
• Enhancing manufacturing defect detection with artificial neural networks
• Enhancing the heart disease screening: A comparative study of multiple machine learning classifiers and interpretation using explainable AI
• Comparison of various classification algorithms for credit card fraud detection
• Detection and identification of plant disease using convolution neural networks
• Plant health: Early tomato disease detection using a lightweight CNN model
• Advanced imaging technique for early breast cancer detection
• Unsupervised clustering model for misinformation detection using knowledge base triples and word embedding techniques
• Cover-loss less robust image watermarking against geometric deformations for secure content-based image retrieval
• Image-based classification of kidney diseases leveraging Inceptionv3 and CNN
• Adaptive pre-processing for enhanced wheat disease detection using deep learning
• Enhanced wheat leaf disease detection using a modified ResNet-50 architecture with advanced training techniques
• Evolving fantasy cricket teams: Applying genetic algorithms for optimal player selection
• AI based distributed model building system
• Revolutionizing personalized medicine through AI-driven drug discovery
• An Explainable Support Vector Machine (E-SVM) for plant disease detection using transfer learning
• Fuzzy knowledge based controller for stock momentum prediction with technical indicators
• Secure blockchain voting DApp with complete end-to-end verification
• Smart stuttering assessment and therapy: Advanced speech signal analysis with real-time feedback
• Oil demand forecasting using deep learning techniques moving average approaches
• IoT solutions for environmental monitoring: Current approaches and future directions
• Classifying musical genres through deep learning and advanced audio analysis methods
• An efficient multi-authority ciphertext policy attribute-based encryption (CP-ABE) in IoT-based health records application using ECC
• Modified recurrent neural network with firefly optimization for IoT network intrusion detection
• Automated breast cancer detection using advanced preprocessing and improved VGG-16 model
• AI based morpho-class net classifier with HOG approach for bone marrow cell classification
• Automatic grape leaf disease detection using improved attention residual net classifier
• Cervical cancer diagnosis using butterfly optimized DenseNet 121 classifier
• Machine learning-based predictive modeling of analgesic drug dynamics
• AI and robotics in education with focus in simulation
• A secure cryptographic framework: Leveraging Fermat’s two squares theorem and trigonometric transformations for enhanced encryption
• Text summarization of news articles using deep learning
• Leveraging fuzzy DEMATEL for evaluating influential factors in AI-driven predictive analytics models
• Deep learning framework for multimodal sentiment analysis: Integrating CNN and Bi-LSTM
• Design, implementation and evaluation of SIMD instructions using RISC-V in SoC using cadence 45nm technology
• Artificial Intelligence (AI) based automatic environment clean and garbage segregation robot using wireless sensor network
• A practical android application implementing two-tier secret sharing scheme with meaningful shares
• Design, development and performance analysis of microstrip array antenna for fifth-generation application
• Author index