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 1)

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

• Publisher: CRC Press
• Year: 2025
• eBook ISBN:
  9781040379721
• 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
• A novel approach to data migration from NoSQL to relational databases
• A fusion of EEG and eye-tracking for intuitive BCI control
• Recommendation of real-time video to text transcription for visually impaired persons
• Analysis of packets dropping attackers, security schemes and routing protocols in VANET
• Critical analysis of audio to sign conversion using Python
• Parkinson's disease prediction using spiral and wave design patterns
• Email spam detection using Amazon web services (AWS)
• Comparative study for prioritization of test cases using genetic algorithm with hypervolume indicator
• Pong AI model for dynamic gameplay using ANN evolutionary NEAT optimization
• Heart disease prediction model using machine learning techniques
• Multi-model review classification based on sentiments analysis
• Proposed methodology for sign language recognition
• IoT-based predictive analytics for crop disease detection
• IoT-assisted aquaponics using smart sensors
• IoT-based monitoring of livestock welfare
• Optimizing heart health through the use of Kalmann filter for accurate heart rate tracking with intelligent edge computing
• Comparing the efficiency of K Nearest Neighbor and Naive Bayes for classifying anonymous spam
• Distributed twins in edge computing: A resource sharing and task scheduling in cloud computing using GNN algorithm
• Fog and edge computing a bridge between user and cloud computing
• Performance analysis of ML algorithms for predicting revised contract amount
• Advancements in disease diagnosis: A review of machine learning, ensemble learning and deep learning algorithms
• Transforming waste management: Harnessing IoT & cloud solutions for a sustainable society
• Digital image forgery detection through transfer learning with error level analysis
• Caption generation from image in voice form
• A comparative review on tomato leaf disease detection
• Flipkart reviews sentiment analysis
• Securing health: Blockchain technology for enhanced privacy and accessibility in medical records
• A roadmap to AI-assisted fog computing using SDN over 6G RAN
• Design and development of a model for security enhancement in edge computing
• Stock market price prediction by using the artificial intelligence
• Railway track defect detection using deep learning
• Automated arrhythmia classification of ECG signals using SVM with PCA
• Comparative study on soft computing techniques
• Smart health: A sophisticated framework designed integrated with Internet of Things (IoT) service applications through the utilization of machine learning techniques
• Phishing detection with ML: A performance evaluation
• Sentimental analysis of feedback data using machine learning
• Text-to-SQL: Single-step prompting with quantized LLMs
• IoT-based ecosystem services in agroecology
• A comparative study of Xception model with Alexnet model to enhance the dog breed prediction
• Mango leaf disease classification using convolutional neural network compared with multi-layer perceptron
• Accurate identification of the blast disease in rice crop using artificial neural network compared with support vector machine algorithm
• Implementing deep learning based on convolutional neural network for facial emotion detection
• Designing empathy enabled AI digital ecosystem with design thinking
• Hybrid deep learning based spectrum sharing strategy for cognitive radio based IoT in 5G environment
• A deep learning model for diagnosis of Pneumonia using CNN techniques
• An enhanced strategy for energy-efficient cloud computing environment through VM consolidation
• Diffusion-based morphing attack detection via image characteristics
• Multimodal and intermodal transportation model of petrochemical commodities
• Hybrid grey Wolf optimizer convolutional neural network model identification through transfer learning for natural and synthetic images
• Advanced transformer for medical image segmentation
• Comparison of security algorithms in cloud computing
• Papaya diseases classification using fuzzy CNN network
• Machine learning model for parkinson's detection using features of speech and EEG signals
• Exploring potential of Bacopa monnieri's against B19V induced erythema infectiosum: An insilico approach
• Predictive analytics for customer retention: A regularized greedy forest based approach
• Analyzing human resource management: Understanding employee termination using multi-layer perceptron (MLPs)
• A proposed methodology for new-age attacks in a machine learning-based intrusion detection system
• SMS SPAM FILTER using multinomial naïve bayes approach
• Enhancing cloud coverage detection in remote sensing imagery through deep learning and advanced feature extraction
• Optimizing crud operations in contact management system using hybrid trie-map
• Apparel recommendation system using image processing
• Machine learning in healthcare with split learning application: A brief review
• Movie recommendation system using AI
• VTO: Human shape and dimension estimation for virtual try-on
• IoT-based collision avoidance system for non luxury vehicles
• Home security night patrolling robot using IoT
• Fake news detection system using machine learning
• Enhancing fake news detection in WhatsApp using Bayesian interconnection network
• Exploring blockchain technology and its potential in non-governmental organizations (NGOs)
• Spatio-temporal parameters-based forest fire prediction using machine learning and deep learning techniques
• Effective people activity detection with active learning technique
• Smart library management system
• Traffic sign recognition system using machine learning
• Pixels and petals: developing an image-based medicinal plant recognition model
• Impact analysis of adversely affecting air pollutants in India
• Smart garbage alert camera using deep learning-based image recognition algorithm
• Body posture assessment
• Pneumonia detection model utilising deep learning algorithms
• FundsAll – Solidity and smart contracts based blockchain-based crowdfunding platform
• PARBNLS: Performance analysis of range based node localization scheme in WSNs
• Implementation of data analytics to identify the factors affecting placement after graduation
• Web application security assessment techniques: current trends and future directions
• Can apps make you happy: A comprehensive literature review on the efficacy of mental health apps
• A wayShare-A carpooling platform with real-time matching and fare negotiation
• Implement a hybrid DNN model for the predication of diabetes retinopathy
• Enhancing security in IoT: a review of intrusion detection systems using edge computing
• Multiple eye disease detection using machine learning
• Comparative study: Enhancing crime event classification in video surveillance through ResNet50 and mobileNetV2 analysis
• Parkinson's disease detection using replication-Aware feature engineering
• Spatial computing interaction techniques tailored to enhance user experience for individuals with diverse abilities
• Advanced machine learning techniques for credit card fraud detection
• Multi-cancer classification using CNN
• Enhancing stock market forecasting using long short term memory network
• An overview of toxic comment classifier using BLSTM
• AUTOGENIE: Revolutionizing vehicle recommendations with hybrid ML-based system
• Automatic road extraction from remotely sensed images using Dilated dense ResUnet
• Forecasting the future of healthcare expenses: The role of machine learning in insurance cost estimation
• Human emotion detection using OpenCV
• Towards improvement functionality of DIGI CLINIC on ML approach
• Investigating the impact of social media on mental health
• IoT-based smart fertilization system: Design and implementation
• Smart E-commerce application using AI
• Smart speedster: An intelligent speed camera detection and alert system for the Greater Noida-Delhi expressway
• Building smart futures and navigating tomorrow: Exploring the frontiers of AI, ML, and cloud computing
• Identifying offensive speech in social media text using machine learning classification algorithms
• Comparative study between different image processing techniques for speed detection
• Blockchain-based lottery systems: Enhancing fairness and security through smart contracts
• Emotions-aware mobile cloud computing in 5G
• Single port 8T-SE SRAM bit cell optimized for low power consumption and temperature variation stability
• Neural schema architecture for the robots and the advancements
• Smart cities infrastructure and sustainable development
• Deep learning-integrated image recognition for plant disease identification
• Bitchat – A decentralized chat and payment platform
• Unified sign language recognition: Merging sign, text, image and audio data
• Exploring data-driven approaches for human identification: A study on AI methodologies
• Optimizing AI for sustainability: Reducing energy footprint in training and inference for green computing
• Author index