Progressive Computational Intelligence, Information Technology, and Networking

Optimizing Happiness: A Data-Driven Framework Using Psychometric Validation and Computational Modelling; Cutting-Edge Techniques and Latest Trends in Object Detection; Crowdfunding Application in Health Sector Using Blockchain for Transparency; Recent Advances in Multimodal Representation Learning: A Survey; Impact of IoT in Smart Tourism Solutions Based on Medical Applications; Advanced Techniques and Innovations in Deepfake Detection: A Comprehensive Research Perspective; Early Prediction of Heart Diseases Using Generative Artificial Intelligence and Machine Learning; Easyshare: A Modern Approach to Secure and Efficient File Sharing Using React, Next.js, and Firebase; Evalution of Recommendations Utilizing Multi-Context and Multi-Criteria Decision Systems; AI-Based Real-Time Guidance and Feedback System; Mechanization of DNA Sequencing: Accelerating Progress in the Human Genome Project; Comparative Analysis of ML for Government Initiatives; A Review of Machine Learning Algorithms in Sports Performance Analysis; Modern Application and Future Direction Treatment of Cancer and AIDS; Evaluate and Validate the Performance of the Proposed Prediction Model Using Established Depression Assessment Scales; Leveraging the Mechanism of Internet of Things (IoT) for Disaster Management: Present Trends and Future Prospects; Venture Vista: Your Pathway to Extraordinary Journeys; Internet of Things (IoT) in Smart Tourism: A Literature Review; Provisioning Security Measures to Handle Vulnerable Cloud Using Machine Learning Models; Plant Leaf Disease Prediction Using a Hybrid Deep Learning Model: An Optimized Approach for Early Detection and Classification; A Comprehensive Smart Health Monitoring System to Tracks Patientsâ Health Data Efficiently; Implementation of Different Battery in Electric Vehicle; Developing a Machine Learning Algorithm to Detect Biasness in Judicial Decisions; Deep Learning for Apple Leaf Disease Classification: A CNN-Based Approach to Enhance Agricultural Productivity; Analyzing Software Defect Prediction through Machine Learning: A Comprehensive Survey; Neurodegenerative Disease Prediction Using Machine Learning: Parkinson; Towards Non-Invasive and Explainable Parkinsonâs Disease Stage Detection: A Succinct Analysis; Blended Learning Insights: Machine Learning-Based Evaluation of E-Learning Effectiveness in Diverse Educational Contexts; AI for Cuffless Blood Pressure Monitoring: A Survey of Methods, Challenges, and Future Perspectives; Efficient Gun and Knife Detection Utilizing the YOLOv5 Model; Methodical Evaluation of Speech to Sign Language Interpretation Technologies; Federated Distillation-Based Spatio-Temporal Framework for Efficient Traffic Prediction; Investigating Racial Inequity in Deep Learning Models for Face Recognition; Conservation and Optimized Utilization of Water in Households: A Case Study; Intelligent Malware Detection System; Semantic Clustering of Verbal Fluency Tasks for Early Schizophrenia Detection: A Preliminary Study; Quantum Attacks: Emerging Threats and Advanced Countermeasures in Cybersecurity; Hybrid LLM and Autoencoder-LSTM Model for Assistive Communication in Speech-Disabled Individuals; Design and Implementation of a Serverless Notification System for the University; Using a Variety of Machine Learning Techniques to Identify Cardiovascular Disease Early; Emotion Aspect Fusion for Context Aware E-Commerce Recommendation; AI-Based Leukaemia Test Code Identification: Challenges, Solutions and Future Directions; Smart Glove: A Model to Detect and Measure Pesticide Residues in Fruits and Vegetables; Improving Face Recognition Performance on Low-Resolution Images Using Interpolation and Feature Extraction Techniques; Cattle Classification System Using Deep Learning; Frustration Detection on Code-Related Platforms Using Machine Learning Models Trained on the GoEmotions Dataset; Machine Learning Approaches for Early Prediction of Depression and Mental Health Disorders; Lung Cancer Detection Using Convolutional Nueral Networks; Benchmarking MedSAM Against CNN and U-Net for Organ-Wise Medical Image Segmentation; Malicious URL Detection Using Machine Learning; Security Enhancement in Audio Steganography: A Detailed Review; A Review of Preprocessing Strategies in ECG-Based Arrhythmia Prediction Using Machine Learning and Deep Learning; Machine Learning Approaches for Predicting Electric Vehicle Charging Behavior: A Comprehensive Review; Multilingual Text-to-Speech System for Programming Languages Using RAG and Neural Speech Synthesis; Explainable Federated Deep Learning with Stacked Ensemble of Dual Pretrained Models and Visual Explanations on Enhanced Images for Privacy-Conscious Skin Lesion Diagnosis in Real-World Clinical Practice; Cross-Institutional Generalization of Skin Cancer Detection Using Pretrained CNN Feature Extraction with Machine Learning and Explainable AI Frameworks; IoT-Based Smart Dustbin for Effective Waste Management; AI-Driven Emergency Detection using ECG and Voice; Identifying High-Risk Subgroups for Depression through Lifestyle and Occupational Factors using Logistic Regression; ConselDesk: A Web-Based Legal Assistant Platform for Automated Legal Query Resolution; 1PEDMO: A Refined Model for the Emotion Detection Via Deep Learning; GRID SHIFT: An AI-Driven Smart Solar Management and Optimization Framework; Discriminative Approaches for Age Invariant Face Recognition: A Review; Automated Multi-Phenomena Tuberculosis Detection in Chest Radiographs Using a Robust CNN; Ensemble with Grad-CAM for Enhanced Visual Explainability and Interpretability; EnrolStack: A Stacking Ensemble with Feature Selection and UI/UX Simulation; Smart Interview Simulator: A Custom-Made and Collaborative Approach to Upgrade Job Readiness; Survey of File Storage on Cloud with Auto-Scaling and Client-Side Encryption; Unsupervised Dehazing Methods: A Review; AI-Powered Mental Health Assessment Using NLP and Machine Learning; A Review on CNN-based Unsupervised Dehazing Methods; Flutter-Controlled Robotic Arm for E-Commerce Logistics Automation with Integrated Vision and PID Controller; Techniques for Fake News Detection: A Theoretical Synthesis and Research Agenda; Beyond the Naked Eye: Leveraging AI and Image Recognition for Early Rice Disease Identification; Secure File Transfer System with End-to-End Encryption; Optimizing Energy-Efficient Cloud Computing for Sustainable Development; Deep Learning Approaches for Age Invariant Face Recognition: A Review; Emotionally Intelligent Chatbots: Leveraging AI for Predictive and Context-Aware Interactions; Smart Control of Utilities: An IoT-Based Adaptive Multi-Utility Management System; Patient Monitoring using Hand Gestures and Activit Recognition with Deep Learning; Machine Learning-Driven Efficient Retrieval of Global Energy Data for Consumption Prediction; Optimized EfficientNet for Robust Thoracic Disease Classification under Class Imbalance; AI-Driven Approaches for Lung Cancer Detection and Classification: A Comprehensive; Review with Prospects for YOLOv8-Based Real-Time Detection; The Integration of AI-Powered Tools in Sub-Junior Badminton Training: A Comprehensive Review; Assistive Technologies for Visually Impaired Using Arduino: A Conceptual Study; Real-Time Hand Gesture Recognition to Aid Mute Individuals; Air Quality Index (AQI)-Aware Navigation: A State-of-the-Art on Pollution-Conscious Route Optimization; Analyzing Factors of Artificial Intelligence Adoption for Sustainable Education in Higher Education; A Novel Behavioural Fraud Ensemble Model for Click Fraud Detection in Online Advertising; Smart Seat Belt Detection: A New Approach for Leveraging Image Recognition for Enhanced Safety; Human Scream Detection and Analysis for Controlling Crime Rate; Toxic Comment Classification using Machine Learning; Next-Gen Waste Management with Ecobinova Using AI, IoT and Sustainable Innovation; Review on Anomaly Detection in Autonomous Electric Vehicles Using Artificial Intelligence Technique; Transformative Role of Artificial Intelligence (AI) In Shaping Consumer Buying Behaviour; Revolutionizing Agriculture by Integrating AI, Block Chain, IOT and Cloud for Precision and Sustainable Farming; AI-Powered Plant Disease Detection and smart Treatment Recommendations through a Web Application; Integrating CNN and LSTM for Natural Language Descriptions of Images; Analysis of Energy Efficient Schemes for Smart Agriculture IoT Network; A Study on YOLOv11-Based Traffic Monitoring Systems; A Proposed Framework to Develop a Hybrid Secure Encrypted Data Cloud Model Using O-SHAECC with Data Deduplication Architecture in Cloud Environment; AI Integration in Learning Management System;