Computing Technologies for Sustainable Development: First International Research Conference, IRCCTSD 2024, Chennai, India, May 9–10, 2024, Proceedings, Part I

Author:   Prasanna Devi Sivakumar ,  Raj Ramachandran ,  Chitra Pasupathi ,  Prabha Balakrishnan
Publisher:   Springer International Publishing AG
Volume:   2360
ISBN:  

9783031823886


Pages:   330
Publication Date:   15 February 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computing Technologies for Sustainable Development: First International Research Conference, IRCCTSD 2024, Chennai, India, May 9–10, 2024, Proceedings, Part I


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Author:   Prasanna Devi Sivakumar ,  Raj Ramachandran ,  Chitra Pasupathi ,  Prabha Balakrishnan
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   2360
ISBN:  

9783031823886


ISBN 10:   3031823885
Pages:   330
Publication Date:   15 February 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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.

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