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245	1	0	_aAdvanced Computing, Machine Learning, Robotics and Internet Technologies _h[electronic resource] : _bFirst International Conference, AMRIT 2023, Silchar, India, March 10–11, 2023, Revised Selected Papers, Part II / _cedited by Prodipto Das, Shahin Ara Begum, Rajkumar Buyya.
250			_a1st ed. 2024.
264		1	_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024.
300			_aXIX, 284 p. 134 illus., 103 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCommunications in Computer and Information Science, _x1865-0937 ; _v1954
505	0		_aComparative 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.
520			_aThis 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.
650		0	_aArtificial intelligence.
650		0	_aComputer engineering.
650		0	_aComputer networks .
650		0	_aMachine learning.
650		0	_aApplication software.
650	1	4	_aArtificial Intelligence.
650	2	4	_aComputer Engineering and Networks.
650	2	4	_aMachine Learning.
650	2	4	_aComputer Communication Networks.
650	2	4	_aComputer and Information Systems Applications.
700	1		_aDas, Prodipto. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBegum, Shahin Ara. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBuyya, Rajkumar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031472206
776	0	8	_iPrinted edition: _z9783031472220
830		0	_aCommunications in Computer and Information Science, _x1865-0937 ; _v1954
856	4	0	_uhttps://doi.org/10.1007/978-3-031-47221-3
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