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001452976 001__ 1452976
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001452976 020__ $$a9789811926006$$q(electronic bk.)
001452976 020__ $$a981192600X$$q(electronic bk.)
001452976 020__ $$z9789811925993
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001452976 0247_ $$a10.1007/978-981-19-2600-6$$2doi
001452976 035__ $$aSP(OCoLC)1345581111
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001452976 049__ $$aISEA
001452976 050_4 $$aQA76.9.D3
001452976 08204 $$a005.74$$223/eng/20221005
001452976 1112_ $$aInternational Conference on Data Management, Analytics and Innovation$$n(6th :$$d2021 :$$cOnline).
001452976 24510 $$aData management, analytics and innovation :$$bproceedings of ICDMAI 2022 /$$cSaptarsi Goswami, Inderjit Singh Barara, Amol Goje, C. Mohan, Alfred M. Bruckstein, editors.
001452976 24630 $$aICDMAI 2022
001452976 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001452976 264_4 $$c©2023
001452976 300__ $$a1 online resource (xv, 731 pages) :$$billustrations (chiefly color).
001452976 336__ $$atext$$btxt$$2rdacontent
001452976 337__ $$acomputer$$bc$$2rdamedia
001452976 338__ $$aonline resource$$bcr$$2rdacarrier
001452976 4901_ $$aLecture notes on data engineering and communications technologies,$$x2367-4520 ;$$vvolume 137
001452976 500__ $$aInternational conference proceedings.
001452976 500__ $$aIncludes author index.
001452976 5050_ $$aPart I: Machine Learning -- Recognizing similar relationships within ontology to fine tune Ontology -- Object Detection using Peak, Balanced Division Point and Shape based Features -- End to End Agile and Automated Machine Learning Framework for Trustworthy, Reliable and Sustainable Artificial Intelligence -- Automated Structured Data Extraction from Scanned Document Images -- Effective Sentiment Analysis of Bengali Corpus by using the Machine Learning approach -- Review on Android Malware Detection System -- Hypothesis Testing of Tweet Text using NLP -- Forecasting Severe Thunderstorm by applying SVM Technique on Cloud imageries -- Breast Cancer Prediction using MachineLearning Techniques -- Ontology-Driven Scientific Literature Classification using Clustering and Self-Supervised Learning -- Modeling and forecasting Tuberculosis cases using machine learning and deep learning approaches: A Comparative Study -- Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals -- Support Vector Machines and Random Forest Classification models for identification of Stability in Extrusion Film Casting Process -- Predicting CO2 emissions by Vehicles using Machine Learning -- Augmented Feature Generation using Maximum Mutual Information Minimum Correlation -- Impact of Energy Sector on Climate Change in India using Forecasting Models -- Towards Efficient Edge Computing Through Adoption of Reinforcement Learning Strategies: A Review -- Thematic Classification Based On Topological Traits -- Machine Learning based Earthquake Early Warning (EEW) System: A case study of Himalayan Region -- Topic Modelling Based Semantic Search -- Machine Learning based Automated Process for Predicting the Anomaly in AIS Data -- A Hybrid Machine Learning Model for Estimation of Obesity Levels -- Part II: AI & Deep Learning -- Regulations 4.0: Digitally Transforming the Regulatory Space -- Speech To Text for Data Entry - Opportunities and Challenges -- A Gamification Architecture For Online Learning Platform using Neural Network -- Literature Review on Sign Language Generation -- Indoor Navigation Using Augmented Reality -- Foreign object detection on an assembly line -- Inverse Contexture Abstractive Term Frequency Model using Surf Scale Diffusive Neural Network for analysis of fake social content in public forum -- Literature Review on Machine Translation Systems for Sign Language Generation -- Depression Detection from Twitter Data using Two Level Multi-modal Feature Extraction -- COVID-19 Regulations Check: Social Distancing, People Counting and Mask Wear Check -- Urdu & Hindi Poetry Generation using Neural Networks -- Implementation of Open Domain Question Answering System -- Design and Implementation of Surround View Monitoring System in View of Autonomous Vehicle -- Generation of Indian Sign Language Animation from Audio and Video Content using Natural Language Processing -- Histogram Based Initial Centroids Selection for K-Means Clustering -- Siamese Network-based system for criminal identification -- Track-III: Data Storage Management & Innovation -- Organization Network Analysis for study of employee techno-social connects and effect of human behavior and organizational culture on the underlying network -- Track IV: Enabling Technologies & Applications -- Sky Computing Smart Locality Aware approach for Health Analytics -- Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks -- Enhancing the Performance of Multiple Wi-Fi Network -- ARCaddy: Augmented Reality App Suite for Aircraft Maintenance -- Meditation Therapy for Stress Management Using Brainwave Computing and Real Time Virtual Reality Feedback -- Real Time Carbon Emissions Calculator for Personal Computers -- Track-V: Data Science Techniques for handling Pandemic -- Navigation System for Visually Impaired People -- Design aspects of a Multi-dimensional Hybrid analytical processing system -- A data science approach to evaluate drug effectiveness: Case Study of Remdesivir for Covid-19 patients in India -- A Softcomputing Approach For Predicting And Categorising Learners Performance Using Fuzzy Model.
001452976 506__ $$aAccess limited to authorized users.
001452976 520__ $$aThis book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 1416, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
001452976 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 5, 2022).
001452976 650_0 $$aDatabase management$$vCongresses.
001452976 650_0 $$aArtificial intelligence$$vCongresses.
001452976 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001452976 655_7 $$aConference papers and proceedings.$$2lcgft
001452976 655_0 $$aElectronic books.
001452976 7001_ $$aGoswami, Saptarsi,$$eeditor.
001452976 7001_ $$aBarara, Inderjit Singh,$$eeditor.
001452976 7001_ $$aGoje, Amol,$$eeditor.
001452976 7001_ $$aMohan, C.,$$eeditor.$$1https://isni.org/isni/0000000026471725
001452976 7001_ $$aBruckstein, Alfred,$$d1954-$$eeditor.$$1https://isni.org/isni/0000000084318016
001452976 77608 $$iPrint version:$$aInternational Conference on Data Management, Analytics and Innovation (6th : 2021 : Online), creator.$$tData management, analytics and innovation.$$dSingapore : Springer Nature Singapore, 2022$$z9789811925993$$w(OCoLC)1334124033
001452976 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 137.$$x2367-4520
001452976 852__ $$bebk
001452976 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2600-6$$zOnline Access$$91397441.1
001452976 909CO $$ooai:library.usi.edu:1452976$$pGLOBAL_SET
001452976 980__ $$aBIB
001452976 980__ $$aEBOOK
001452976 982__ $$aEbook
001452976 983__ $$aOnline
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