Appavoo / Rajan / Kose Deep Sciences for Computing and Communications

Third International Conference, IconDeepCom 2024, Chennai, India, April 24–25, 2024, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-26680-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 518 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Appavoo, Revathi

Rajan, Annie Uthra

Kose, Utku

Sugumaran, Vijayan

Ganesan, Maragatham

Selvam, Karthick

Madhivanan, Vimaladevi

Kottursamy, Kottilingam

Inhaltsverzeichnis

.-  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.