Computing Technologies for Sustainable Development

First International Research Conference, IRCCTSD 2024, Chennai, India, May 9-10, 2024, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-3-031-82382-4
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 2361, 346 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 552 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Sivakumar, Prasanna Devi

Balakrishnan, Prabha

Ramachandran, Raj

Pasupathi, Chitra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

.- Video and Image processing for Security Analysis.

.- Intrusion Detection from Surveillance Video using Frame Based Image Processing Techniques.

.- Blockchain Based Research Data Repository.

.- DeepFake Image Video And Audio Detection.

.- Targeted Image Manipulation.

.- Efficient Deepfake Image Detection Using Dense CNN Architecture.

.- Innovation in Vehicle Tracking: Harnessing YOLOv8 and Deep Learning Tools for Automatic Number Plate Detection.

.- Network Anomaly Detection Mitigation of DDOS attack using Machine Learning.

.- Leveraging the trio of 5G, MIMO, and IoT for proactive vehicular crash prevention in VAN.

.- Envision, Enhanced, Envisage (EEE) IoT Device Prediction using Neural Network.

.- Image Tampering Detection Using Deep Learning.

.- Innovations for Smart Cities.

.- Artificial Intelligence-Powered Advanced Driver Assistance Systems in Vehicles.

.- DriveSafe: AI & IoT powered Driver Alertness for Enhanced Passenger Safety.

.- Driver Safety Advancements: Drowsiness Detection with YOLO V8.

.- Elevator Management System with SRTF Scheduling.

.- Methods for Mitigating Leakage Power in VLSI Design.

.- Next-Gen Home Automation: Sensor-based Connectivity and Appliance Control.

.- Navigating the Complexities of Municipal Waste Management:Enhancing Cost Prediction for Sustainable Urban Solutions.

.- Sustainable Practices in E-Commerce: Challenges and Trends.

.- Analyzing Bank Customer Behavior: Segmentation and Prediction using Big Data Analytics.

.- Strategic BPNN Forecasting: Integrating Indicators, Bonds, Gold, and Indices for Enhanced Stock Trend Analysis.

.- Enhancing Product Review Understanding: Text Summarization with BART Large XSum.

.- Forecasting Sustainability: A study of Demand Prediction in Circular Economics.

.- Gold Price Forecasting using Machine Learning Techniques.

.- Credit Card Fraud Detection Using XG Boost.

.- A Remunerative Self-Checkout System Designed for Small Scale Supermarkets.

.- SMART FIT- Elevating Fashion with Image Processing.

.- E-Commerce Product Sentiment Assessment and Aspect Analysis.