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Full Description
This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.
This book gathers peer-reviewed papers covering the most recent advances in Internet of Things (IoT), Cloud Computing, Machine Learning, Networking, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, and Artificial Intelligence. It presents cutting-edge developments that offer real-time support and enhanced security solutions for advanced learners, researchers, and academicians. This comprehensive resource can help promote translation of basic research into applied investigation and convert applied investigation into practice.
This compilation is expected to be of significant value to a diverse audience, including researchers, academicians, undergraduate and postgraduate students, research scholars, professionals, technologists, and entrepreneurs.
Contents
1. Mental Disorder Detection using Neuralink Neuralink and the Future of Mental Disorder Diagnostics 2. Towards Intelligent Attendance Management System with Face Recognition using LBPH Algorithm 3. Vedcure : Towards intelligent Ayurvedic Drug Recommendation and Disease Prediction 4. Intelligent Anomaly Detection In Big Data Environments Using Unsupervised Machine Learning 5. Automated Social Media Bot Detection Using Metadata and Machine Learning 6. Monitoring Malnutrition with Machine Learning: An In-Depth Review 7. Smart Risk Scoring: Mapping Urban Behaviour, Pollution, And Insurance Costs Using Explainable Machine Learning 8. Comparative Evaluation of LLM-Based Error Correction on Tesseract OCR Output 9. Real -Time Malware Detection Using Convolutional Neural Networks 10. Applying Machine Learning Algorithms for the Classification of Sleep Disorders 11. Deep Learning based approaches for diagnosis and detection of different types of brain cancer 12. Enhancing Computer Vision Systems Through Integration of Attention Mechanisms and Transformer Networks for Object Detection 13. Adaptive Region-Based Image Segmentation and Classification Using Transfer Learning for Agricultural Disease Detection Systems 14. Implementation of Advanced Machine Learning Algorithms for Predictive Maintenance in Industrial Internet of Things Networks 15. Lung Cancer Detection Model Using ML Algorithms by Various Parameters of Patient 16. Artificial Intelligence-Based Approaches for the Early Prediction and Classification of Pancreatic Cancer Conditions 17. Intrusion Detection System Using Random Forest for Real-Time Network Security 18. Machine Learning in Cybersecurity: A Predictive Model for Threat Detection 19. Advanced Personal Security Application for Women Using AI, Blockchain, and Real-Time Monitoring 20. Precision Aflatoxin Detection in Rice A Systematic Review of Optical Sensing and a Farmer-Centric UV-HSI Solution for Smallholder Agriculture 21. Enhancing Cardiovascular Disease Prediction using Optimized Machine Learning Technique 22. Task Management Application with AI-powered Task Prioritization Deployed on Multi-Cloud Platform 23. Fine-Tuned BERT-Based Sentiment Analysis Model for Twitter Data and It's Deployment on AWS Fargate 24. Quantum-Enhanced Cloud Paradigms: Emerging Architectures and Integration Challenges 25. Harnessing Hybrid Intelligence A CNN-SVM Approach for Precise Neem Leaf Disease Classification 26. Application of DCT Domain Based Image Improvement for Vision Impaired People 27. Multivariate Statistical Exploration of Post-Pandemic Behavior in Bareilly: An Integrated PCA 28. AI Therapist: A RAG-Enhanced Mental Health Platform Integrating Google Gemini for Personalised Support 29. Explainable Multimodal Deep Learning for Breast Cancer Diagnosis 30. Integrated Vision and Sensor Data Framework for Fire Severity Forecasting 31. A Hybrid Evaluation Framework for Machine Learning and Deep Learning Models in Semantic Sentiment Analysis of Twitter Data Stream 32. Global supply chain disruption analysis using trade and logistics big data 33. A hybrid KNN and Tri-Ensemble approach for Predicting HMPV Infection 34. Analyzing Data Concealment Techniques in NTFS File System Using Computer File Forensics 35. Multi-modal Imaging Integration Through Deep Learning 36. Enriching Lives: Utilizing ML Algorithms for Prediction of Cardiovascular Disease 37. Dimensionality Reduction and XAI Approaches for Analyzing Multivariate Socioeconomic Shifts During COVID-19 38. A Comprehensive Review of Brain Tumor Detection Techniques Using Generative Models 39. Brain Tumor Detection Using Generative AI 40. Forest-based Anomaly Detection and Isolation for Cyber Security Applications 41. HEDGE: A Sustainable Framework for Energy Efficient Optimized Proof of Work in Blockchain Systems 42. Secure IoT Environments with Hybrid Deep CNN and BiLSTM-Based Intrusion Detection 43. Edge-Enhanced Communication Protocols for Real-Time Data Processing in UAV Systems 44. Environmental Impacts of Cyber Threats: An Emerging Dimension of Digital Security 45. A Holistic Approach to Yamuna River Rejuvenation through Green Technology and Community Participation 46. A Shift-Left Performance Engineering Approach Using LoadRunner Dev Web Protocol in Agile Development Pipelines 47. Literature Survey on Techniques and Challenges to Diagnose the Gastrointestinal Tract 48. Machine Learning aspects to measure and predict UHI using Urban Morphology features 49. Enhanced Oral Cancer Detection Using CNN Optimized by Hybrid Grey Wolf-Particle Swarm Algorithm 50. Analyzing the Effects of Model Architecture on Feature Importance Using Explainable AI Techniques 51. Unboxing the Black Box: A Survey on Explainable Artificial Intelligence Approaches in ML 52. Comparative Evaluation of Transformer-Based Models for Sentiment Analysis of E-Commerce Reviews Using PyTorch 53. A Comparative Analysis of Fundamental Edge Detection Techniques for Medical Images 54. Continual Learning in Neural Networks: Addressing Catastrophic Forgetting through Scalable and Robust Methods 55. A Comprehensive Review of Synthetic Data Generation: Models, Metrics, and Industry Use Cases 56. Leveraging Machine Learning Techniques for Enhanced Skin Cancer Detection 57. An approach to reduce carbon footprint on environment-A Comparative Analysis 58. DeepFake Detection using Deep Learning Techniques 59. Neural Architecture Search: Automating Deep Learning Model Optimization for Enhanced Performance and Scalability 60. Comprehensive Review of Machine Learning and Deep Learning Frameworks for Robust Classification of Multiclass Leaf Diseases under Variable Conditions 61. A Study of Machine Learning and Deep Learning Models for PCOS Diagnosis 62. Mitigating AI Bias and Advancing Fairness: A Systematic Survey of Techniques, Tools, and Ethical Implications in Machine Learning 63. Reducing Carbon Footprint in AI Workloads Using Serverless Cloud Architectures 64. Reinforcement Learning with Deep Q-Networks for Predictive Trading in the NSE Market 65. Investigation of Cloud Computing-Based Capacity Building for Successful IoT Application Implementations 66. Intelligent Rollback Mechanisms for Kubernetes Deployments Using Reinforcement Learning 67. Plant Leaf Classification Using Machine Learning and Deep Learning: A Review of CNN- Based Approaches 68. Machine Learning Approaches for the Detection and Classification of Plant Leaf Diseases 69. From Simulated to Real: Integrating Deep Learning for Efficient Medical Image Analysis Solutions 70. Empowering SOCs: A Conceptual Analysis of Agentic AI's Transformative Potential in Cybersecurity Operations 71. Deep Reinforcement Learning to Improve Interactive Virtual Reality Training Environments: An Inclusive Strategy for Personalized Learning, Skill Development and Mental Health 72. AI-Powered Urban Planning: Predictive Analytics for Sustainable Development 73. Trust Calibration in AI Systems: Bridging the Gap Between Automation and Intuition 74. Modern Road Management Framework: Development Approaches 75. Distributed Intelligence in 6G: The Role of Federated Learning and Edge Computing 76. Hybrid Stacking Ensemble for Multi-Class Diagnosis of Pancreatic Conditions Using Clinical Features 77. Self-Organizing Particle Swarm Optimization for Multi-Objective Resource Allocation in Massive MIMO-Enabled 5G Wireless Communication Networks 78. Diagnosis and Tau Burden Prediction in Alzheimer's Disease via Non-Invasive Biomarkers and Gradient Boosting Models 79. Vocal Biomarkers in Medicine: A New Era for Chronic Disease Diagnosis 80. Reading Between the Vessels: A Clear AI Method for Finding Both Diabetic Retinopathy and Cardiovascular Risk 81. Hybrid ML Forecasting Model for Fertilizer and Crop Yield
