This two-volume set CCIS 2687-2688 constitutes the proceedings from the Third International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2024, held in Chennai, India, during April 24-25, 2024.
The 71 full papers, 7 short papers included in these volumes were carefully reviewed and selected from 278 submissions. They focus on the following topical sections:
Part I: Intelligent Visual Recognition and Detection using YOLO; AI in Medical Imaging and Disease Prediction; Leveraging Machine Learning Across Diverse Domain; Advanced Deep Learning Applications; Real-World Use Cases Powered by CNN Models.
Part II: Smart Data Science and Analytics ; AI-Powered IoT Solutions for a connected world; NLP for Multilingual Support; AI driven Security Solutions; Intelligence in Software Engineering and IT.
.- Intelligent Visual Recognition and Detection using YOLO. .- Tourist Spot Recommendation System using CNN with YOLOv5 for Image Classification and Detection, Integrated with LLM for Time Suitability Prediction. .- YOLOV8 – BASED MODEL FOR PRECISE CORROSION SEGMENTATION IN INDUSTRIAL IMAGERY. .- Driver Assistance System With Lane and Object Detection Based on Driver Attention Monitoring. .- Advanced Control of Two-Wheeler Ignition Through Helmet Detection Using YOLOv8 and Raspberry Pi 5. .- Defect Detection in Printed Circuit Boards Using Fine-Tuned YOLOv8. .- Posture Precision Trainer - Perfecting Your Posture. .- AI in Medical Imaging and Disease Prediction. .- Segmentation of Skin Lesion Using Machine Learning and Deep Learning Algorithms. .- Using Dynamic SwishNet – 181 to Enhance Diabetic Retinopathy Detection and Severity Classification. .- Early Detection of Alzheimer’s Disease using SMOTE+ENN on an Unbalanced Dataset and GRAD-CAM, Occlusion Mapping for Visualization. .- Early Diagnosis of Alzheimer’s Disease using Deep Learning. .- Medical Image Disease Prediction with Secure Data Sharing using Multisecret Sharing Approach. .- Denoising MRI Images for Brain Tumor Detection Using BM3D Filte. .- A Novel CNN Architecture: Comprehensive Approach to Alzheimer’s Disease Detection and Classification. .- Skincare Recommendation System Using Computer Vision. .- Leveraging Machine Learning Across Diverse Domain. .- Machine Learning Approach for Error Handling - Linear Block Codes: A Case Study. .- Predictive Modeling for Optimal Crop Yields. .- Sentiment Analysis Using Machine Learning Algorithms. .- Prediction of Urinary Infection Using Machine Learning Models. .- Effective Classification of Heart disease using Remote Monitoring and Digital Health in machine Learning. .- Integrating Ensemble Machine Learning Techniques for Improved Air Quality Management. .- Quasars Detection Using Random Forest Classifier. .- Blind Navigation Systems Using Monocular Depth Estimation. .- Early Low Birth Weight Prediction Using Machine Learning. .- Analyzing Migraine Patterns using Ensemble Learning: Machine Learning Techniques for Enhanced Diagnosis. .- Machine Learning-Based Forecasting of River Water Quality: Emphasis on Regression and Ensemble Models. .- Advanced Deep Learning Applications. .- Deep Learning-Based Identification of Plant Diseases. .- Semantic Web-based Diagnosis and Treatment Model for Mental Disorder. .- Comparative Study: Contextual Understanding with BioBERT vs. Practical Integration of LLaMA 2 13B Model for Healthcare Assistance. .- Long Term Rainfall Forecasting Using Deep Learning Approach: The Case of Ilu Abba Borzone. .- Image to Audio Conversion for the Visually Impaired People. .- Macular Degeneration Analysis Using Deep Learning. .- Splicing Video Forgery Detection Using a Region-Based Segmentation Approach and ResNext. .- Real-World Use Cases Powered by CNN Models. .- Futuristic Body Pose Language Detection System Using Convolution Neural Networks. .- Improved Image Classification in CNN Using Histograms. .- Facial Expression Recognition System Using Enhanced Stress Convolutional Neural Network for Mental Health Prediction. .- Enhancing Depression Detection Through Multimodal Analysis: A Custom CNN-Based Approach. .- A Clustering-Based Crime Hotspot Identification: In Case of Ilu Abba Bor Zone Police Department. .- Quick Incident Reporting with Alerts to Authorities Using CNN-LSTM. .- Enhanced CNN Based Deep Learning Model for Tomato Leaf Disease Detection. .- Lameness Prediction in Poultry Chickens Using Deep Convolutional Neural Network.