{"product_id":"9783031823886","title":"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 2360) (2025. xxiii, 330 S. XXIII, 330 p. 17","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eThe 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:\u003c\/p\u003e\u003cp\u003ePart I: innovations in precision agriculture techniques and strategies for enhancing agriculture production; classification and prediction analysis in healthcare; animal welfare; and innovations in diagnostics.\nPart II: video and image processing for security analysis; innovations for smart cities; sustainable practices in e-commerce: challenges and trends.\nPart III: environmental analysis and protection; inclusive communication techniques; AI for text, audio, image and video processing; and application of AI for education.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Innovations in Precision Agriculture Techniques and Strategies for Enhancing Agriculture Production.\n.- Transfer Learning Based Ensemble Models for Rice Leaf Disease Detection.\n.- Chat Bot for Crop Yield Prediction and Recommendation through K Nearest Neighbor Algorithm Chat Bot for Crop Yield Prediction.\n.- Analysis of Micro Bacteria Organism Classification by Using Convolution Neural Network With Improved Accuracy.\n.- Crop Disease Recognition and Classification A Deep Dive into Machine Learning Techniques A Survey.\n.- Identification Of Infectious Potato Using CNN.\n.- Early Warning prediction system for agriculture using deep learning.\n.- A Comparison of Different Deep Learning Models for Plant Leaf Disease Detection.\n.- Identifying Paddy Crop Disease using Enhanced Deep Learning Technique.\n.- Internet of Things Based Multiple Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone.\n.- An Automatic Motor Control System for Smart Irrigation.\n.- Classification and Prediction Analysis in Healthcare.\n.- Eye Fundus Disease Classification Using Artificial Intelligence.\n.- Deep Learning Based Multi Disease Detecting Model.\n.- Intelligent Posture Monitoring System with Real Time Notifications using Media Pipe and Open CV.\n.- Diabetes Prediction Using Deep Learning.\n.- Efficient Information Extraction from Medical Records.\n.- Decoding the Mind: Translating Human Thought with EEG Signals.\n.- Detection of Thyroid Stages Classification using Convolutional Neural Network Techniques.\n.- Evaluating Biglycan as a Biomarker in Breast Cancer Detection: A Custom CNN Architecture.\n.- Early Diagnosis of Glaucoma and Diabetic Retinopathy using Fundus Images based on Ensemble Approach.\n.- Ultrasound based Breast Cancer Segmentation and Classification with Deep Learning Techniques.\n.- Advanced Techniques for Cancer Research with Multimodal Fusion and Deep Learning.\n.- Comprehensive Assistive Blind Stick for Visually Impaired Individuals.\n.- Brain o vision: Brain Tumor Detection.\n.- Elderly Fall Detection Model for Patient Care Using Improvised CNN.\n.- Animal welfare: Innovations in Diagnostics.\n.- Detection of poultry diseases using ConvNeXt V2.\n.- Unveiling the Potential of Audio Classification for Poultry Health Diagnosis: A Deep Learning Approach.\n.- Feathered Diagnose Smart Disease Classification in Chicken with Deep Learning and MLOps.\u003c\/strong\u003e\u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER NATURE SWITZERLAND; SPRING","offers":[{"title":"Default Title","offer_id":48865567637739,"sku":"00000_00000_00000_00000","price":164.78,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9783031823886-1.jpg?v=1781717825","url":"https:\/\/kinokuniya.com.sg\/products\/9783031823886","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}