Buch, Englisch, 435 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Advances in Computer Science Applications and Research
Second International Conference, AMRIT 2024, Agartala, India, November 8-9, 2024, Proceedings, Part II
Buch, Englisch, 435 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Advances in Computer Science Applications and Research
ISBN: 978-3-032-31777-3
Verlag: Springer Nature Switzerland AG
The two volume set ACSAR 7-8 constitutes selected papers presented during the Second International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2024, held in Agartala, India, in November 2024.
The 47 full papers and 14 short papers presented were thoroughly reviewed and selected from 274 submissions. This book contains systematic material for understanding the latest trends in Computer Science research and various challenging issues of Computer science research and their solutions.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Early Detection of Parkinson’s Disease through Human Gait and Keystroke Dynamics: An Ensemble Approach.
.- Optimizing Customer Churn Prediction with Ant Colony Optimization: A Hybrid Deep Learning Approach.
.- Hybrid Method for Load Balancing Optimization of Workflow using Genetic Algorithm (GA) and Opposition-Based Learning (OBL) in Cloud platform.
.- Enhancing Student Engagement through Real-time Behavioral Analysis in Educational Settings.
.- Automated Estrus Assessment in Cattle: A K-Means Clustering Study on Physical Signs.
.- Weapon Detection using Supervised Machine Learning.
.- Microbial Technology in Renewable Energy Production: Harnessing the Power of Fermentation for Sustainable Bioenergy.
.- Retrieving Post-hoc explanations through CNN-based Transfer Learning Methods for COVID-19 detection from OCT and X-ray images.
.- Regional Bias in Large Language Models.
.- Script Identification in Scene Text Images Using Deep Learning and Hybrid Methods.
.- Overview of the Current State and Future Outlook of Automated Sleep Stage Scoring: A Review.
.- Underwater Object Detection: Synergizing Image Processing Techniques with Deep Learning Frameworks.
.- Security, Efficiency, and Practicality of Quantum Key Distribution Protocols: A Comparative Analysis.
.- A Hybrid Ensemble Model For Accurate Chest X-Ray Segmentation And Disease Classification.
.- An Effective Signature-Oriented Model for Task Matching in Crowd Platform.
.- Automated Detection of Potato Leaf Diseases Using Transfer Learning Techniques.
.- Review of Plagiarism Detection Techniques.
.- Circular Economy Solutions for Healthcare Plastic Waste: A Kernel-based SVM Classification Approach.
.- Stroke Detection Using Neuroimages A Genetic Algorithm-Enhanced Bidirectional LSTM Approach.
.- Enhanced Classification and Detection of Brain Tumor using Hybrid Deep Learning and Machine Learning Models.
.- Perception and manipulation activities of Cobot in a Milling process.
.- Performance Analysis of Machine Learning Models on CICAPT-IIoT2024 for Botnet Attacks Detection.
.- CACMLIE: Cellular Automata and Chaotic Maps for Enhanced Lightweight Image Encryption in IoT.
.- An optimized MARL-based strategy for green corridor patterns of emergency vehicles.
.- IoT Enabled Fault Detection System for Elevator.
.- Personalised Entropy: The Intersection of Quantum Randomness and Unique Human Typing Patterns.
.- Beyond Passwords: A Multi-Factor Authentication System with Graphical Authentication using Dynamic Grid-Based OTPs.
.- An Experimental evaluation of open-source Network Security Honeypot Systems: A Scientific Insight.
.- RobuFusion:Empowering Machines through Laptop Integration.
.- Towards High-Throughput Medical Image Analysis with Quantum Image Processing.
.- Fuzzy Neural Network Approaches to Quantum-Based Multimodal Sentiment and Sarcasm Analysis.
