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Advanced Computing, Machine Learning, Robotics and Internet Technologies First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers, Part II
Title
Advanced Computing, Machine Learning, Robotics and Internet Technologies [electronic resource] : First International Conference, AMRIT 2023, Silchar, India, March 10-11, 2023, Revised Selected Papers, Part II / edited by Prodipto Das, Shahin Ara Begum, Rajkumar Buyya.
ISBN
9783031472213
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XIX, 284 p.) 134 illus., 103 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
This two-volume set constitutes selected papers presented during the First International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, held in Silchar, India, in March 2023. The 20 full papers and 27 short papers presented were thoroughly reviewed and selected from 110 submissions. They cover the following topics: artificial intelligence, machine learning, natural language processing, image processing, data science, soft computing techniques, computer networks and security, computer architecture and algorithms.
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Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
May 08, 2024
Series
Communications in Computer and Information Science, 1954
Contents
Comparative Analysis of Different Machine Learning Based Techniques For Crop Recommendation
Arduino based Multipurpose Solar Powered Agricultural Robot capable of Ploughing, Seeding, and Monitoring Plant Health
Galactic Simulation: Visual Perception of Anisotropic Dark Matter
Protocol Anomaly Detection in IIoT
Agricultural Informatics & ICT: The foundation, issues, challenges and possible solutions-A Policy work
A Guava Leaf Disease Identification Application
Text to Image Generation using Attentional Generative Adversarial Network
Attention-CoviNet:A Deep-Learning Approach to Classify Covid-19 using Chest X-Rays
A Deep Learning Framework for Violence Detection in Videos using Transfer Learning
Multi-focus Image Fusion methods: A Review
Generation of a New Trust Establishment Pattern to Prevent Flooding Attacks in MANET
A Survey on Cache Memory and On-Chip Cache Architecture
AuthenticatingSmartphone Users Continuously Even If the Smartphone Is in the User's Pocket
Comparative Analysis of Machine Learning Algorithms for COVID-19 Detection and Prediction
Machine Learning Classifiers Explanations with Prototype Counterfactual
A Systematic Study of Super-Resolution Generative Adversarial Networks: Review
Stance Detection in Manipuri Editorial Article using CRF
Deep Learning Based Software Vulnerability Detection in Code Snippets and Tag Questions using Convolutional Neural Networks
A Comprehensive Study of the Performances of Imbalanced Data Learning Methods With Different Optimization Techniques
Smart Parking System using Arduino and IR sensor
QuMaDe: Quick Foreground Mask and Monocular Depth Data Generation
Fine-grained Air Quality with Deep Air Learning
Enhancing Melanoma Skin Cancer Detection with Machine Learning and Image Processing Techniques
Image Processing Technique and SVM forEpizootic Ulcerative Syndrome Fish Image Classification.
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