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001472125 001__ 1472125
001472125 003__ OCoLC
001472125 005__ 20230908003331.0
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001472125 008__ 230730s2023\\\\si\a\\\\o\\\\\101\0\eng\d
001472125 019__ $$a1391439710
001472125 020__ $$a9789819927685$$q(electronic bk.)
001472125 020__ $$a9819927684$$q(electronic bk.)
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001472125 020__ $$z9819927676
001472125 0247_ $$a10.1007/978-981-99-2768-5$$2doi
001472125 035__ $$aSP(OCoLC)1391435881
001472125 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ
001472125 049__ $$aISEA
001472125 050_4 $$aQ334
001472125 08204 $$a006.3$$223/eng/20230801
001472125 1112_ $$aInternational Conference on Advanced Communications and Machine Intelligence$$d(2022 :$$cChennai, India).
001472125 24510 $$aProceedings of International Conference on Advanced Communications and Machine Intelligence :$$bMICA 2022 /$$cRajkumar Buyya, Sudip Misra, Yiu-Wing Leung, Ayan Mondal, editors.
001472125 24630 $$aMICA 2022
001472125 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001472125 264_4 $$c©2023
001472125 300__ $$a1 online resource (xiii, 454 pages) :$$billustrations (chiefly color).
001472125 336__ $$atext$$btxt$$2rdacontent
001472125 337__ $$acomputer$$bc$$2rdamedia
001472125 338__ $$aonline resource$$bcr$$2rdacarrier
001472125 4901_ $$aStudies in autonomic, data-driven and industrial computing
001472125 500__ $$aInternational conference proceedings.
001472125 500__ $$aIncludes author index.
001472125 5050_ $$aIntro -- Preface -- Contents -- About the Editors -- 1 A Study on Interval-Valued Intuitionistic Fuzzy Oscillatory Region -- 1 Introduction -- 2 Preliminaries -- 3 On IVIF-Set Oscillatory Region -- 4 Conclusion -- References -- 2 Face Mask Detection Using Keras/Tensorflow -- 1 Introduction -- 1.1 Objectives -- 2 Proposed Approach -- 2.1 Visualization of Data -- 2.2 Reshaping of Images -- 2.3 Model Training -- 2.4 Proposed Approach -- 3 Result -- 4 Conclusion -- References -- 3 Simulation-Based Comparative Study for Effective Cell Selection in Cellular Networks -- 1 Introduction
001472125 5058_ $$a2 Literature Review -- 3 Simulations and Result -- 4 Conclusion -- References -- 4 Comparative Analysis of Detection of Network Attacks Using Deep Learning Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Detection of Network Attacks Using Deep Learning -- 3.1 Attack Detection's Deep Learning Applications -- 3.2 Deep Belief Network -- 4 Methodologies Being Used -- 5 Comparisons and Analysis -- 6 Conclusion -- 7 Future Scope -- References -- 5 Multi-Criteria Decision-Making Problems in an Interval Number Based on TOPSIS Method -- 1 Introduction -- 2 Preliminaries -- 2.1 Definitions
001472125 5058_ $$a2.2 Multi-Criteria Decision-Making -- 3 Methodology -- 4 Numerical Example -- 5 Comparison Analysis of other Method -- 6 Conclusions and Future Work -- References -- 6 Sentiment Analysis of Twitter Data by Natural Language Processing and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 2.1 Natural Language Processing -- 2.2 Overview of Machine Learning -- 3 Proposed System and Methodology -- 3.1 Extracting Twitter Data Set -- 3.2 Cleaning the Data Set -- 3.3 Separation of Tweets -- 3.4 Remove Stop Words Using Natural Language Processing -- 3.5 Machine Learning Classifiers
001472125 5058_ $$a3.6 Calculate Parameters -- 3.7 Compare Results -- 4 Experimental Results and Analysis -- 4.1 Positive Tweets -- 4.2 WordCloud of Positive Tweets -- 4.3 Negative Tweets -- 4.4 WordCloud of Negative Tweets -- 4.5 Confusion Matrix -- 4.6 Performance Measure -- 5 Conclusion -- References -- 7 A Generalized Fuzzy TOPSIS Technique in Multi-Criteria Decision-Making for Evaluation of Temperature -- 1 Introduction -- 2 Preliminaries -- 2.1 Definitions -- 2.2 Multi-Criteria Decision-Making -- 2.3 Fuzzy Multi-Criteria Decision-Making -- 3 Methodology -- 3.1 AHP Method -- 3.2 Fuzzy AHP Method
001472125 5058_ $$a3.3 TOPSIS Method -- 3.4 Fuzzy TOPSIS Method -- 4 Numerical Example -- 5 Conclusion -- References -- 8 UWB FR4-Based CPW-Fed Equilateral Triangular Slot Antenna for CubeSat Communication -- 1 Introduction -- 2 Antenna Design and Structure -- 3 Antenna Performances and Results Synthesis -- 4 Conclusions -- References -- 9 Comparative Study of Support Vector Machine Based Intrusion Detection System and Convolution Neural Network Based Intrusion Detection System -- 1 Introduction -- 2 Literature Survey -- 3 Background -- 4 Datasets and Evaluation Metrics -- 5 Proposed Technique
001472125 506__ $$aAccess limited to authorized users.
001472125 520__ $$aThis book presents high-quality, peer-reviewed papers from International Conference on Advanced Communications and Machine Intelligence (MICA 2022), organised by M.Kumarasamy College of Engineering, Chennai, Tamil Nadu, India, during 911 December 2022. The book includes all areas of advanced communications and machine intelligence. The topics covered are network performance analysis, data mining and warehousing, parallel and distributed networks, computational intelligence, smart city applications, big data analytics, Internet of Things networks, information management and wireless sensor networks. The book is useful for academicians, scientists, researchers from industry, research scholars and students working in these areas.
001472125 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 1, 2023).
001472125 650_0 $$aArtificial intelligence$$vCongresses.
001472125 650_0 $$aTelecommunication$$vCongresses.
001472125 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001472125 655_7 $$aConference papers and proceedings.$$2lcgft
001472125 655_0 $$aElectronic books.
001472125 7001_ $$aBuyya, Rajkumar,$$d1970-$$eeditor.$$1https://isni.org/isni/0000000109905699
001472125 7001_ $$aMisra, Sudip,$$eeditor.$$1https://isni.org/isni/0000000120291069
001472125 7001_ $$aLeung, Yiu-Wing,$$eeditor.
001472125 7001_ $$aMondal, Ayan,$$eeditor.
001472125 7102_ $$aM. Kumarasamy College of Engineering,$$ehost institution.
001472125 77608 $$iPrint version: $$z9819927676$$z9789819927678$$w(OCoLC)1375549356
001472125 830_0 $$aStudies in autonomic, data-driven and industrial computing.
001472125 852__ $$bebk
001472125 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2768-5$$zOnline Access$$91397441.1
001472125 909CO $$ooai:library.usi.edu:1472125$$pGLOBAL_SET
001472125 980__ $$aBIB
001472125 980__ $$aEBOOK
001472125 982__ $$aEbook
001472125 983__ $$aOnline
001472125 994__ $$a92$$bISE