Computing Technologies for Sustainable Development (eBook, PDF)

First International Research Conference, IRCCTSD 2024, Chennai, India, May 9-10, 2024, Proceedings, Part I
Redaktion: Sivakumar, Prasanna Devi; Balakrishnan, Prabha; Pasupathi, Chitra; Ramachandran, Raj

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 330
• Erscheinungstermin: 14. Februar 2025
• Englisch
• ISBN-13: 9783031823893
• Artikelnr.: 73377106

Inhaltsangabe

.- 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.