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001438517 001__ 1438517
001438517 003__ OCoLC
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001438517 019__ $$a1262374145
001438517 020__ $$a9789811630675$$q(electronic bk.)
001438517 020__ $$a9811630674$$q(electronic bk.)
001438517 020__ $$z9789811630668
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001438517 0247_ $$a10.1007/978-981-16-3067-5$$2doi
001438517 035__ $$aSP(OCoLC)1262189942
001438517 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ
001438517 049__ $$aISEA
001438517 050_4 $$aQ334$$b.I58 2020
001438517 08204 $$a006.3$$223
001438517 1112_ $$aInternational Conference on Advances and Applications of Artificial Intelligence and Machine Learning$$d(2020 :$$cGreater Noida, India)
001438517 24510 $$aApplications of artificial intelligence and machine learning :$$bselect proceedings of ICAAAIML 2020 /$$cAnkur Choudhary, Arun Prakash Agrawal, Rajasvaran Logeswaran, Bhuvan Unhelkar, editors.
001438517 24630 $$aICAAAIML 2020
001438517 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001438517 264_4 $$c©2021
001438517 300__ $$a1 online resource :$$billustrations (chiefly color)
001438517 336__ $$atext$$btxt$$2rdacontent
001438517 337__ $$acomputer$$bc$$2rdamedia
001438517 338__ $$aonline resource$$bcr$$2rdacarrier
001438517 4901_ $$aLecture notes in electrical engineering ;$$vvolume 778
001438517 500__ $$aInternational conference proceedings.
001438517 5050_ $$aIntro -- ICAAAIML-2020 -- Preface -- Contents -- About the Editors -- Artificial Intelligence and Its Applications in Smart Education -- Building a Language Data Set in Telugu Using Machine Learning Techniques to Address Suicidal Ideation and Behaviors in Adolescents -- 1 Introduction -- 2 Suicidal Data Set Creation in Telugu -- 3 Technique Used for Data Gathering to Create Required Data Set -- 4 Data Collection -- 4.1 Scrapping -- 4.2 Cleaning -- 4.3 Annotation -- 4.4 Data Set Statistics -- 5 Methodology -- 6 Experiments and Results -- 6.1 Accuracy by ML Classifiers
001438517 5058_ $$a6.2 Binary Classification Measures -- 7 Conclusion -- 8 Future Work -- References -- Feature Selection and Performance Comparison of Various Machine Learning Classifiers for Analyzing Students' Performance Using Rapid Miner -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Experiment and Results -- 5 Conclusion -- References -- Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Objectives -- 2 Research Methodology -- 3 Literature Survey -- 4 Performance Analysis
001438517 5058_ $$a4.1 Analysis Outcomes -- 5 Conclusion and Future Scope -- References -- Handwritten Mathematical Symbols Classification Using WEKA -- 1 Introduction -- 2 Literature Review and Related Work -- 3 Proposed Work -- 4 Implementation -- 5 Conclusion and Future Scope -- References -- Enhancing Sociocultural Learning Using Hyperlocal Experience -- 1 Introduction -- 2 Literature Survey -- 3 Working of the System -- 3.1 Overview -- 3.2 Hyperlocal Forecasting -- 3.3 Architecture -- 3.4 Methodology -- 3.5 Proposed Solution -- 3.6 Algorithm -- 4 Conclusion -- 5 Future Enhancements -- References
001438517 5058_ $$aSubsequent Technologies Behind IoT and Its Development Roadmap Toward Integrated Healthcare Prototype Models -- 1 Introduction -- 2 Technologies Behind IoT -- 2.1 IoT Development Boards and IoT Hardware -- 2.2 IDE (Integrated Development Environment) -- 2.3 Protocols -- 2.4 Network Spine -- 2.5 Internetwork Cloud Stages/server -- 2.6 Software -- 3 IoT Gateway Device -- 4 IoT Development Roadmap and Healthcare Prototype -- 5 Conclusion -- References -- Big Data and Data Mining -- Bug Assignment-Utilization of Metadata Features Along with Feature Selection and Classifiers -- 1 Introduction
001438517 5058_ $$a2 Literature Survey -- 3 Proposed En-TRAM Triager -- 4 Experimental Setup and Results -- 4.1 Experiment Setup -- 4.2 Results -- 5 Conclusion -- References -- Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media -- 1 Introduction -- 1.1 Previous Work -- 2 Corpus Creation and Annotation -- 2.1 Annotations -- 3 Methodology -- 3.1 Bidirectional Encoder Representations from Transformers (BERT) -- 3.2 Embeddings from Language Models (ELMo) -- 3.3 Flair -- 4 System Design -- 4.1 Data Pre-Processing -- 4.2 Fine-Tuning Approaches -- 5 Results and Discussion
001438517 506__ $$aAccess limited to authorized users.
001438517 520__ $$aThe book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor network, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics and practitioners in industry working on AI applications.
001438517 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 4, 2021).
001438517 650_0 $$aArtificial intelligence$$vCongresses.
001438517 650_6 $$aIntelligence artificielle$$vCongrès.
001438517 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001438517 655_7 $$aConference papers and proceedings.$$2lcgft
001438517 655_7 $$aActes de congrès.$$2rvmgf
001438517 655_0 $$aElectronic books.
001438517 7001_ $$aChoudhary, Ankur,$$eeditor.
001438517 7001_ $$aAgrawal, Arun Prakash,$$eeditor.
001438517 7001_ $$aLogeswaran, Rajasvaran,$$eeditor.
001438517 7001_ $$aUnhelkar, Bhuvan,$$eeditor.
001438517 77608 $$iPrint version:$$aInternational Conference on Advances and Applications of Artificial Intelligence and Machine Learning (2020 : Greater Noida, India).$$tApplications of artificial intelligence and machine learning.$$dSingapore : Springer, [2021]$$z9811630666$$z9789811630668$$w(OCoLC)1249496023
001438517 830_0 $$aLecture notes in electrical engineering ;$$vv. 778.
001438517 852__ $$bebk
001438517 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3067-5$$zOnline Access$$91397441.1
001438517 909CO $$ooai:library.usi.edu:1438517$$pGLOBAL_SET
001438517 980__ $$aBIB
001438517 980__ $$aEBOOK
001438517 982__ $$aEbook
001438517 983__ $$aOnline
001438517 994__ $$a92$$bISE