Deep Sciences for Computing and Communications

Third International Conference, IconDeepCom 2024, Chennai, India, April 24–25, 2024, Proceedings, Part I

AvRevathi Appavoo,Annie Uthra Rajan

Häftad, Engelska, 2026

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-05-29
Mått:155 x 235 x 29 mm
Vikt:803 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:518
Förlag:Springer Nature Switzerland AG
ISBN:9783032266798

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Innehållsförteckning

.- 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.