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001440722 003__ OCoLC
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001440722 019__ $$a1281981651$$a1287773931$$a1292518405
001440722 020__ $$a9783030882440$$q(electronic bk.)
001440722 020__ $$a3030882446$$q(electronic bk.)
001440722 0247_ $$a10.1007/978-3-030-88244-0$$2doi
001440722 035__ $$aSP(OCoLC)1281978358
001440722 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dNOC$$dEBLCP$$dDCT$$dOCLCF$$dDKU$$dOCLCO$$dOCLCQ$$dOCLCO$$dUKAHL$$dOCLCQ
001440722 049__ $$aISEA
001440722 050_4 $$aQA75.5$$b.I23 2021eb
001440722 08204 $$a004$$223
001440722 1112_ $$aICACDS (Conference)$$n(5th :$$d2021 :$$cOnline)$$eauthor.
001440722 24510 $$aAdvances in Computing and Data Sciences :$$b5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers.$$nPart II /$$cMayank Singh [and more] (eds.).
001440722 2463_ $$aICACDA 2021
001440722 264_1 $$aCham :$$bSpringer,$$c2021.
001440722 300__ $$a1 online resource (446 pages)
001440722 336__ $$atext$$btxt$$2rdacontent
001440722 337__ $$acomputer$$bc$$2rdamedia
001440722 338__ $$aonline resource$$bcr$$2rdacarrier
001440722 347__ $$atext file
001440722 347__ $$bPDF
001440722 4901_ $$aCommunications in Computer and Information Science ;$$v1441
001440722 500__ $$a"Due to the COVID-19 pandemic, ICACDS 2021 was organized virtually."
001440722 500__ $$aIncludes index.
001440722 5050_ $$aIntro -- Preface -- Organization -- Contents -- Part II -- Contents -- Part I -- Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Data Analysis -- 3.1 Dataset -- 3.2 Data Cleaning and Pre-processing -- 3.3 Data Visualization -- 4 Training and Testing the Model -- 5 Methodologies -- 5.1 Method 1 -- OneVsRest -- 5.2 Gradient Boosting -- 6 Results and Evaluation -- 7 Conclusion -- References -- Handling Class Imbalance in Electroencephalography Data Using Synthetic Minority Oversampling Technique -- 1 Introduction
001440722 5058_ $$a2 Dataset Information and Preprocessing -- 3 Epileptic Seizure State Recognition Model -- 3.1 Synthetic Minority Oversampling Technique (SMOTE) -- 3.2 Random Forest Classifier -- 4 Performance Evaluation Parameters -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Dissemination of Firm's Market Information: Application of Kermack-Mckendrick SIR Model -- 1 Introduction -- 2 Related Work -- 2.1 The Kermack-Mckendrick SIR Model -- 3 Methodology -- 3.1 Product Information Dissemination Model -- 3.2 State Changes in Product Information Transmission -- 4 Experiments
001440722 5058_ $$a4.1 For Eqs. 1, 2 and 3 -- 4.2 For Eqs. 11, 12 and 13 -- 5 Conclusion and Future Work -- References -- Improving Image-Based Dialog by Reducing Modality Biases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 System Workflow -- 3.2 Dataset Used -- 3.3 Feature Extraction and Dense Caption Generation -- 3.4 Attention Mechanism -- 3.5 Network Architecture -- 4 Experimentation and Results -- 5 Conclusion and Future Scope -- References -- Dependency Parser for Hindi Using Integer Linear Programming -- 1 Introduction -- 2 Literature Survey -- 3 Paninian Grammar -- 3.1 Karaka Relations
001440722 5058_ $$a4 Methodology -- 5 Results and Discussions -- 6 Conclusion and Future Scope -- References -- Medical Records Management Using Distributed Ledger and Storage -- 1 Introduction -- 2 Related Works -- 3 Proposed Solution -- 3.1 System Architecture -- 3.2 Usecases -- 4 Conclusion and Future Work -- References -- Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review -- 1 Introduction -- 2 Datasource and Dataset Characteristics -- 3 Methodology/Assessment Criteria for Modeling -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Topic Modeling -- 3.4 Model Approaches
001440722 5058_ $$a4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Frequency Based Feature Extraction Technique for Text Documents in Tamil Language -- 1 Introduction -- 1.1 Feature Extraction and Feature Selection -- 2 Literature Survey -- 3 Feature Extraction Techniques -- 4 Frequency-Based Feature Extraction Architecture -- 5 Results and Discussion -- 6 Conclusion -- References -- An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning -- 1 Introduction -- 1.1 Nepali License Plate (NLP) -- 2 Related Works -- 3 Proposed Method -- 3.1 Detection and Localization -- 3.2 Image Processing and Segmentation of LP Characters.
001440722 506__ $$aAccess limited to authorized users.
001440722 520__ $$aThis two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc. *The conference was held virtually due to the COVID-19 pandemic.
001440722 588__ $$aDescription based on print version record.
001440722 650_0 $$aComputer science$$vCongresses.
001440722 650_0 $$aArtificial intelligence$$vCongresses.
001440722 650_0 $$aInternet of things$$vCongresses.
001440722 650_6 $$aInformatique$$vCongrès.
001440722 650_6 $$aIntelligence artificielle$$vCongrès.
001440722 650_6 $$aInternet des objets$$vCongrès.
001440722 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440722 655_0 $$aElectronic books.
001440722 7001_ $$aSingh, Mayank.
001440722 7001_ $$aTyagi, Vipin.
001440722 7001_ $$aGupta, P. K.
001440722 7001_ $$aFlusser, Jan.
001440722 7001_ $$aÖren, Tuncer I.
001440722 7001_ $$aSonawane, V. R.
001440722 77608 $$iPrint version:$$aSingh, Mayank.$$tAdvances in Computing and Data Sciences.$$dCham : Springer International Publishing AG, ©2021$$z9783030882433
001440722 830_0 $$aCommunications in computer and information science ;$$v1441.
001440722 852__ $$bebk
001440722 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88244-0$$zOnline Access$$91397441.1
001440722 909CO $$ooai:library.usi.edu:1440722$$pGLOBAL_SET
001440722 980__ $$aBIB
001440722 980__ $$aEBOOK
001440722 982__ $$aEbook
001440722 983__ $$aOnline
001440722 994__ $$a92$$bISE