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001447011 001__ 1447011
001447011 003__ OCoLC
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001447011 019__ $$a1319824418$$a1320809540
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001447011 020__ $$a9811908982$$q(electronic bk.)
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001447011 020__ $$z9811908974
001447011 0247_ $$a10.1007/978-981-19-0898-9$$2doi
001447011 035__ $$aSP(OCoLC)1320812260
001447011 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ
001447011 049__ $$aISEA
001447011 050_4 $$aTK5105.8857
001447011 08204 $$a004.67/8$$223/eng/20220526
001447011 1112_ $$aInternational Conference on Computer Networks, Big Data and IoT$$d(2021 :$$cMadurai, India).
001447011 24510 $$aComputer networks, big data and IoT :$$bproceedings of ICCBI 2021 /$$cA. Pasumpon Pandian, Xavier Fernando, Wang Haoxiang, editors.
001447011 24630 $$aICCBI 2021
001447011 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001447011 264_4 $$c©2022
001447011 300__ $$a1 online resource (xx, 1010 pages) :$$billustrations (chiefly color).
001447011 336__ $$atext$$btxt$$2rdacontent
001447011 337__ $$acomputer$$bc$$2rdamedia
001447011 338__ $$aonline resource$$bcr$$2rdacarrier
001447011 4901_ $$aLecture notes on data engineering and communications technologies,$$x2367-4520 ;$$vvolume 117
001447011 500__ $$aInternational conference proceedings.
001447011 500__ $$aIncludes author index.
001447011 5050_ $$aChapter 1. Rakshak - Prototype Application to Depict Crime Hotspot and Safest Path between locations -- Chapter 2. Block Chain Technology in Application Development and Associated Challenges -- Chapter 3. Hybrid Statistical and Deterministic Based Pedestrian Tracking Algorithm for Location-Based IoT Applications -- Chapter 4. MAC based Secure Data Transmission in Vehicular Adhoc Networks -- Chapter 5. A Study on Challenges in Data Security During Data Transformation -- Chapter 6. An Edge-based Disjoint Path Selection Scheme for FANETs -- Chapter 7. Sign Language Interpreter -- Chapter 8. Architectural Insight of Neural Information Extraction, Retrieval and Processing for Multi-Modal Neural Search -- Chapter 9. A Comparative Study Analysis on Air Monitoring and Purification Systems -- Chapter 10. Malicious Node Detection and Prevention for Secured Communication in WSN -- Chapter 11. Performance Analysis and Assessment of Various Energy Efficient Clustering based Protocols in WSN -- Chapter 12. Academic Data Analysis and Projection using Artificial Intelligence -- Chapter 13. Analysis of Factor Verification Affecting Recruitment Process through Social Dynamics -- Chapter 14. Routing Protocols in an Opportunistic Network: A Survey -- Chapter 15. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.
001447011 506__ $$aAccess limited to authorized users.
001447011 520__ $$aThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9-10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.
001447011 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 26, 2022).
001447011 650_0 $$aInternet of things$$vCongresses.
001447011 650_0 $$aBig data$$vCongresses.
001447011 655_0 $$aElectronic books.
001447011 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001447011 655_7 $$aConference papers and proceedings.$$2lcgft
001447011 7001_ $$aPandian, A. Pasumpon,$$eeditor.
001447011 7001_ $$aFernando, Xavier N.,$$eeditor.
001447011 7001_ $$aHaoxiang, Wang,$$eeditor.
001447011 77608 $$iPrint version: $$z9811908974$$z9789811908972$$w(OCoLC)1295351788
001447011 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 117.$$x2367-4520
001447011 852__ $$bebk
001447011 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-0898-9$$zOnline Access$$91397441.1
001447011 909CO $$ooai:library.usi.edu:1447011$$pGLOBAL_SET
001447011 980__ $$aBIB
001447011 980__ $$aEBOOK
001447011 982__ $$aEbook
001447011 983__ $$aOnline
001447011 994__ $$a92$$bISE