Computing Technologies for Sustainable Development
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.
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Content
.- Environmental Analysis and Protection.
.- IoT Integrated Air Quality Detection and Alert System.
.- Impact of Weather Parameters on Malaria Transmission A Study Using the Epidemiology Models.
.- Towards Scalable and Cost-Effective Design for Intrusion Detection for IIoT Environment using Metric Active Learning.
.- An Interactive Dashboard For Investigating Water Potability in Telangana State.
.- Efficient Multi-Operand Binary Tree Adder with Minimal Area Delay and Energy Consumption.
.- Developing Simulink Model of Microgrid Energy Management System and Optimizing Electricity Cost using Linear Optimization Approach.
.- Advancing Smart Water Management: Integrating Invasive and Non-Invasive IoT Sensors for Sustainable Hot and Cold-Water Usage Monitoring.
.- Atmospheric River Detection- A Survey on Deep Learning and Quantum Neural Networks.
.- Inclusive Communication Techniques.
.- Emotion Recognition using Text in a Chatbot using Logistic regression.
.- Sign Language Recognition System For Seamless Human-AI Interaction.
.- Indian Sign Language Gesture Recognition using Bi-directional LSTM.
.- Comprehensive Exploration of Facial Emotion Recognition using Conventional Machine Learning and Transfer learning Models.
.- Type Sculpt: Text-to-3D Generation with Personalized Precision using Adaptive Attention Mechanism.
.- AI for Text, Audio, Image and Video Processing.
.- Carnatic Raga Recognition using Deep Learning Techniques.
.- VisualVerse 2.0: Image Generation with Image Inpainting.
.- DATA BRAIN : Streamlining Data Science With Ai-Assisted Conversations.
.- Semantic segmentation of satellite imagery using Optimized U-Net Model.
.- Video Caption Generation Using Deep Learning.
.- Leveraging LangChain Framework and Large Language Models for Conversational Chatbot Development.
.- Designing of In-Memory Computing SRAM energy-efficient for Artificial Intelligence.
.- Application of AI for Education.
.- Integrating Students as Academic Partners in Software Engineering: A Group Software Development Case Study.
.- Chattitude in Education: Chatbot Expertise for Educational System.
.- PDFQA: A PDF Question Answering System.
.- Exploring Linguistic and Cultural Dynamics in Software Engineering:An Auto-Ethnographic Approach.
.- Stress Detection Based on EEG Values: A Systematic Literature Review.
.- AI-Enhanced Learning Assistant Platform: An Advanced System for Q&A Generation from Provided Content, Answer Evaluation and Roadmap Generation.
.- Real-Time Attendance Generation using Facial Recognition.
.- Enhancing PDF Information Retrieval through a Gemini Pro LLM-Powered Chatbot.
.- AI-Guided Career Advisor with Integrated AI-Enhanced Decision Support.