Computing Technologies for Sustainable Development : First International Research Conference, IRCCTSD 2024, Chennai, India, May 9-10, 2024, Proceedings, Part I (Communications in Computer and Information Science)

Sivakumar, Prasanna Devi (EDT)/ Ramachandran, Raj (EDT)/ Pasupathi, Chitra (EDT)

Springer International Publishing AG（2025/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 330 p.
• 言語 ENG
• 商品コード 9783031823886
• DDC分類 003

Full Description

This book constitutes the refereed proceedings of the First International Research Conference on Computing Technologies for Sustainable Development, IRCCTSD 2024, held in Chennai, India, during May 9-10, 2024.

The 65 full papers and 14 short papers presented here were carefully selected and reviewed from 264 submissions. These papers have been organized in the following topical sections:

Part I: innovations in precision agriculture techniques and strategies for enhancing agriculture production; classification and prediction analysis in healthcare; animal welfare; and innovations in diagnostics.

Part II: video and image processing for security analysis; innovations for smart cities; sustainable practices in e-commerce: challenges and trends.

Part III: environmental analysis and protection; inclusive communication techniques; AI for text, audio, image and video processing; and application of AI for education.

Contents

.- Innovations in Precision Agriculture Techniques and Strategies for Enhancing Agriculture Production.

.- Transfer Learning Based Ensemble Models for Rice Leaf Disease Detection.

.- Chat Bot for Crop Yield Prediction and Recommendation through K Nearest Neighbor Algorithm Chat Bot for Crop Yield Prediction.

.- Analysis of Micro Bacteria Organism Classification by Using Convolution Neural Network With Improved Accuracy.

.- Crop Disease Recognition and Classification A Deep Dive into Machine Learning Techniques A Survey.

.- Identification Of Infectious Potato Using CNN.

.- Early Warning prediction system for agriculture using deep learning.

.- A Comparison of Different Deep Learning Models for Plant Leaf Disease Detection.

.- Identifying Paddy Crop Disease using Enhanced Deep Learning Technique.

.- Internet of Things Based Multiple Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone.

.- An Automatic Motor Control System for Smart Irrigation.

.- Classification and Prediction Analysis in Healthcare.

.- Eye Fundus Disease Classification Using Artificial Intelligence.

.- Deep Learning Based Multi Disease Detecting Model.

.- Intelligent Posture Monitoring System with Real Time Notifications using Media Pipe and Open CV.

.- Diabetes Prediction Using Deep Learning.

.- Efficient Information Extraction from Medical Records.

.- Decoding the Mind: Translating Human Thought with EEG Signals.

.- Detection of Thyroid Stages Classification using Convolutional Neural Network Techniques.

.- Evaluating Biglycan as a Biomarker in Breast Cancer Detection: A Custom CNN Architecture.

.- Early Diagnosis of Glaucoma and Diabetic Retinopathy using Fundus Images based on Ensemble Approach.

.- Ultrasound based Breast Cancer Segmentation and Classification with Deep Learning Techniques.

.- Advanced Techniques for Cancer Research with Multimodal Fusion and Deep Learning.

.- Comprehensive Assistive Blind Stick for Visually Impaired Individuals.

.- Brain o vision: Brain Tumor Detection.

.- Elderly Fall Detection Model for Patient Care Using Improvised CNN.

.- Animal welfare: Innovations in Diagnostics.

.- Detection of poultry diseases using ConvNeXt V2.

.- Unveiling the Potential of Audio Classification for Poultry Health Diagnosis: A Deep Learning Approach.

.- Feathered Diagnose Smart Disease Classification in Chicken with Deep Learning and MLOps.