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001468465 001__ 1468465
001468465 003__ OCoLC
001468465 005__ 20230707003252.0
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001468465 019__ $$a1380993489
001468465 020__ $$a9789811996382$$q(electronic bk.)
001468465 020__ $$a9811996385$$q(electronic bk.)
001468465 020__ $$z9789811996375
001468465 020__ $$z9811996377
001468465 0247_ $$a10.1007/978-981-19-9638-2$$2doi
001468465 035__ $$aSP(OCoLC)1381093735
001468465 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX
001468465 049__ $$aISEA
001468465 050_4 $$aT58.5$$b.I58 5th 2022eb
001468465 08204 $$a004$$223/eng/20230614
001468465 1112_ $$aInternational Conference on Information and Communication Technology for Competitive Strategies$$n(7th :$$d2022 :$$cChandigarh, India ; Online)
001468465 24510 $$aInformation and communication technology for competitive strategies (ICTCS 2022) :$$bICT: Applications and Social Interfaces /$$cAmit Joshi, Mufti Mahmud, Roshan G. Ragel, editors.
001468465 2463_ $$aICTCS 2022
001468465 260__ $$aSingapore :$$bSpringer,$$c2023.
001468465 300__ $$a1 online resource (866 p.).
001468465 4901_ $$aLecture Notes in Networks and Systems ;$$vv.623
001468465 500__ $$aComparative Analysis of Classification Models in Design Process of Ensemble Classifier
001468465 500__ $$aIncludes author index.
001468465 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- Optimization of Accuracy of Tweets for Coronavirus Pandemic Using BERT-Based CNN Model -- 1 Introduction -- 2 Related Work -- 3 CNN -- 4 Proposed Methodology -- 5 Simulation Result -- 6 Conclusion and Future Work -- References -- Deep Learning Neural Networks for Forecasting the Abrasive Wear in Machining Tools for Cryogenic Treatment by Process Parameter Optimization -- 1 Introduction -- 1.1 Motivation of This Work -- 1.2 Objectives of This Work -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Black Widow Optimization
001468465 5058_ $$a3.2 Methodology -- 4 Results and Discussion -- 4.1 Data Collection -- 4.2 Results for Conventional ANN and Deep Learning-Based Hybrid Neural Networks for Abrasive Wear Monitoring in Cryogenic Treatment -- 4.3 The Architecture of Healthcare IoT -- 5 Conclusion -- References -- Real-Time Indian Sign Language Detection -- 1 Introduction -- 2 Literature Review -- 2.1 Existing System -- 2.2 Proposed System -- 3 System Design and Architecture -- 3.1 Users of System -- 3.2 System Architecture -- 3.3 Tool Used -- 4 Methodology -- 4.1 Data Acquisition -- 4.2 Data Labeling -- 4.3 Hand Detection
001468465 5058_ $$a4.4 Segmentation and Preprocessing -- 4.5 Text Interpretation -- 5 Result -- 6 Advantages -- 7 Limitation -- 8 Future Scope -- 9 Conclusion -- References -- Deep Learning-Based Lung Cancer Detection and Classification -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Architecture and Methodology -- 3.1 Proposed Architecture -- 3.2 Proposed Methodology -- 4 Experimental Investigations -- 4.1 Dataset -- 4.2 Discussion on Results -- 5 Conclusion -- References -- Improved Deep Learning Approach for Underwater Image Enhancement -- 1 Introduction -- 1.1 Literature Review
001468465 5058_ $$a2 Fast Underwater Image Enhancement GAN -- 2.1 The Generator -- 2.2 The Discriminator -- 3 Improved Fast Underwater Image Enhancement GAN Architecture -- 3.1 Dataset -- 3.2 Network Architecture -- 3.3 Loss Functions -- 4 Results and Discussion -- 4.1 Quantitative Evaluation -- 4.2 Qualitative Evaluation -- 5 Conclusion and Future Work -- References -- Machine Learning-Based Autonomous Framework for Product Classification Over Cloud -- 1 Introduction -- 2 Literature Review -- 2.1 Review of Machine Learning Approaches -- 2.2 Relevant Researches in the E-commerce Classification Field
001468465 5058_ $$a3 Proposed Work -- 4 Experiment and Result Analysis -- 4.1 Microsoft Azure ML Workspace [16] -- 4.2 Dataset Description and Simulation Parameters -- 4.3 Experiment -- 4.4 Performance Parameters -- 4.5 Result Analysis -- 5 Conclusion and Future Scope -- References -- Automatic Traffic Rule Violations Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Technique -- 3.1 Processing of Images -- 3.2 YOLOv5 -- 3.3 OpenALPR API -- 3.4 Twilio Messenger -- 4 Methodology -- 5 Results -- 6 Conclusion -- References
001468465 506__ $$aAccess limited to authorized users.
001468465 520__ $$aThis book contains best selected research papers presented at ICTCS 2022: Seventh International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Chandigarh, India during 9 10 December 2022. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in two volumes.
001468465 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 14, 2023).
001468465 650_0 $$aInformation technology$$vCongresses.
001468465 650_0 $$aCommunication and technology$$vCongresses.
001468465 655_0 $$aElectronic books.
001468465 7001_ $$aJoshi, Amit$$c(Of Global Knowledge Research Foundation)
001468465 7001_ $$aMahmud, Mufti.
001468465 7001_ $$aRagel, Roshan G.
001468465 77608 $$iPrint version:$$aJoshi, Amit$$tInformation and Communication Technology for Competitive Strategies (ICTCS 2022)$$dSingapore : Springer,c2023$$z9789811996375
001468465 830_0 $$aLecture notes in networks and systems ;$$vv. 623.
001468465 852__ $$bebk
001468465 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-9638-2$$zOnline Access$$91397441.1
001468465 909CO $$ooai:library.usi.edu:1468465$$pGLOBAL_SET
001468465 980__ $$aBIB
001468465 980__ $$aEBOOK
001468465 982__ $$aEbook
001468465 983__ $$aOnline
001468465 994__ $$a92$$bISE