Intelligent Computing and Communication Techniques

Proceedings of the International Conference on Intelligent Computing and Communication Techniques (ICICCT 2024), New Delhi, India, 28-29 June, 2024 (Volume 2)

Arvind Dagur, Karan Singh, Pawan Singh Mehra, Dhirendra Kumar Shukla

• Publisher: CRC Press
• Year: 2025
• eBook ISBN:
  9781040379714
• Topic: Computer Science
• Index: Computer Science

This book contains a prolific compilation of research papers presented at the International Conference on Intelligent Computing and Communication Techniques (ICICCT 2024). Some of its key features include:

• In-depth coverage of artificial intelligence, blockchain, and their role in enhancing smart living and security, with a focus on intelligent computing.
• Depiction of detailed system models and architecture to illustrate the practical applications of AI.
• Discussion on the role of AI and blockchain in banking, healthcare, navigation, communication, security, etc.
• Analysis of the challenges and opportunities presented by intelligent computing, communication techniques and blockchain in healthcare, education, banking and related industries.

It is designed for academics, researchers, students, and professionals seeking to expand their knowledge and engage with current research on artificial intelligence, secure transactions, real-time monitoring, and security.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Acknowledgements
• Editor Biographies
• Conference Committee
• Empowering text summarization through deep learning techniques
• A narrative review of deep learning methods for sign language recognition
• Crop monitoring system using IOT
• Creative AI: A digital transformation
• Garbage classification
• Early detection of Alzheimer's disease with blood plasma proteins using SVM
• An optimizing car parking solution based on android application
• A survey on predictive healthcare analytics based on AI/ML approaches
• AI's role in privacy preservation: Tools for a secure future
• Generative adversarial network super resolution historical image inpainting
• Revolutionizing diabetic retinopathy detection through advanced deep learning techniques
• A survey on optimizing the query processing with green databases in distributed environment using nature inspired algorithms
• Cryptobot: Automated cryptocurrency trading system using machine learning and AI
• Real-time crisis response optimization with Retrieval Augmented Generation (RAG)
• DisasterSense ensemble: Synergistic detection and journalism for safer communities
• Comparative analysis of FastText and Doc2Vec for semantic feature oriented software defect prediction
• Comprehensive examination and comparative analysis of machine learning algorithms for breast cancer prediction
• Performance analysis of action recognition models under low-light condition
• Opportunities and challenges in telemedicine implementation
• Fraud detection mechanism for UPI payments using XGBoost outlier detection
• Study of ambient air pollution forecasting using artificial neural network
• A novel survey of mixed reality: zSpace
• Development and evaluation of an offline educational tool for children: Enhancing learning beyond internet constraints
• Enhanced Indian sign language recognition using a hybrid CNN-transformer model
• Advanced artificial intelligence strategy for efficient urban rail network design in urban landscape using nature: Inspired algorithms
• Exploring convolutional parameter analysis for blockchain based identity management with deep learning
• Cutting edge fake account detection using AE-DBN hybrid method
• A hybrid learning framework for recognizing daily life human activity
• Advancing healthcare cloud security through machine learning for proactive threat detection and prevention
• A machine learning approach for enhanced threat detection in cloud-based neural networks
• Integrating deep learning techniques for predicting depression from social media data
• Analyzing placement records and student feedback to predict future placement: A data-driven approach
• Disease prediction using machine learning
• AI vs AI: Deciphering deepfakes with CNN and vision transformers
• Elevating aerial vision-language navigation with enhanced feature extraction backbone using GELAN and PGI
• Revolutionizing mental healthcare delivery: An AI-powered consultation platform
• Analysis of customer's purchasing habit using machine learning
• Secure data search and storage in cloud server with lighweight crytographic scheme
• Resource allocation for D2D underlay communication in 6G networks considering 3D distance path loss model
• UCB (Upper-Confidence-Bound) and Thomson-Sampling analysis for advertisement-selection
• Optimizing key performance indicators in cloud computing: Scheduling techniques
• A method for detecting cyberbullying using deep learning and machine learning
• Optimizing multi-echelon inventory systems: A comprehensive machine learning approach
• Harnessing AI integration in healthcare transforming social security in India: Applications, opportunities, challenges, and recommendations
• Artificial intelligence for IT operations and operations management: An exploration
• A novel approach of hybrid CNN-RNN for multilingual hate speech detection
• Classification of painted pottery images using deep learning
• Machine learning-driven network slicing for enhanced resource allocation
• Forest fire detection using efficient NetV2
• Implementing gated recurrent units and generative adversarial networks to enhance effectiveness in human resource management and organizational efficiency
• Machine learning-driven comorbidity prediction model for diabetes and cardiovascular disease
• Secure organizational file sharing model using blockchain and IPFS
• A brief systematic review on video summarization using deep learning techniques
• Enhanced recognition for early and late blight disease on potato leaves
• Enhancing communication with AI: Advances in streamlined text classification
• A comparative analysis of random forest and autoencoder for commodity predictive analytics
• Facial notes: Music recommendations through expression (a contextual analysis)
• Enhancing predictive accuracy of diabetes diagnosis employing fuzzy logic/diabetes prediction using fused machine learning
• Securing access: A multi-modal biometric door lock system with arduino and three-factor authentication
• Secure organizational file sharing model using blockchain and IPFS
• Deep learning approaches to underwater image enhancement: Performance metrics and evaluations
• Blockchain-based counterfeit sneaker authentication using Ethereum
• Smart cane stick: Empowering independence and mobility for visually impaired
• Energy-aware intelligent load balancing in cloud computing
• Seismic zones identification of India using grid-growing clustering algorithm
• Review on recommendation systems utilizing diverse collaborative filtering algorithms
• Design of the multilayer patch antenna for X-band applications
• Blockchain-based chatting DApp for secure and private conversations
• Comparative analysis of different machine learning models for crop and fertilizer prediction
• Hybrid approach towards intrusion detection enhancement for advancement of IoT security
• Speech emotion recognition optimization: A Bayesian approach
• Enhancing dataset using data pre-processing techniques for food recommender system
• Bisphenol a polycarbonate remediation: A molecular docking approach to understanding microbial enzyme activity
• Artificial intelligence and predictive analytics in asynchronous learning: A comprehensive review and model development
• A YOLO-based image and video recognition system with integrated recipe recommendation functionality
• Reducing makespan in cloud computing environments using CloudSim
• Decentralized control system for synchronized video streaming
• GPT-driven autonomous driving: Innovative trajectory planning
• Precision fatigue detection among individuals through leveraged fine-tuned EfficientNetV2
• A review on blockchain-based secure data transmission in IoT networks using machine learning
• Optimizing data security performance in cloud computing: A comparative analysis
• Multiple disease prediction using machine learning
• Enhancing knowledge availability through a novel forensic analysis recommendation system architecture
• Securing IoT using Blockchain
• Impact of eWOM credibility and persuasion on purchase intent: An empirical study
• Extractive and abstractive text summarization of legal documents using machine learning approaches
• A comparative analysis AI approach for vehicle detection
• Utilizing ensemble learning and XAI to enhance Acute Myocardial Infarction (AMI) prediction
• Image encryption techniques for ensuring data security using 10D hyperchaotic system (IETEDS)
• A comparative study of smoke and fire detection using deep learning
• Text-based sentiment analysis and design using deep learning techniques
• A review on 6G communication: Applications, challenges, use cases, and future prospects
• Enhancing supply chain trust in industry 5.0 with an integrated blockchain framework
• Deepfake assessment for Indian celebrity data using VGGFace model
• Investigating novel convolutional neural network architectures for satellite image classification
• Learning algorithm with advanced lightweight encryption for enhancing data privacy and security
• Integrating K-fold cross-validation with convolutional neural networks for plant species and pathogen detection
• A review on fire detection techniques
• Identifying depression from social media using machine learning and deep learning techniques
• Facial emotion detection and recognition in images using convolutional neural networks
• Enhancing CAPTCHA security with YOLOv8: Deep learning for robust recognition and protection
• AI accountability in the digital realm: A new paradigm
• Android ransomware network traffic detection using decision tree and L1 LASSO regularization feature selection
• Evaluating the effectiveness of metaheuristic techniques for tuning SVM parameters in software defect prediction
• BERT for Hindi word sense disambiguation
• Paper fake news detection using large language models
• A comparative analysis of face recognition models using deep learning
• A unified framework of object detection using MLP in Vision Transformer
• U-Net++ architecture: A nested and dense design for multi-scale liver image segmentation from 2D CT scans
• Skin cancer detection using deep learning models
• Toxic texts classification on different online platforms using machine learning techniques
• Securing colour QR code using visual cryptography
• Exploring impact of integrating IT systems for strengthening lean manufacturing system
• Void-DDOS: An SDN-based framework to counter security challenges in centralized controllers
• Efficient anomaly detection using GNN, CNN and RNN based hybrid models
• Analyzing the effectiveness of authentication scheme for traffic-related messages exchange in VANET
• Author index