001440019 000__ 03950cam\a2200649\a\4500 001440019 001__ 1440019 001440019 003__ OCoLC 001440019 005__ 20230309004536.0 001440019 006__ m\\\\\o\\d\\\\\\\\ 001440019 007__ cr\un\nnnunnun 001440019 008__ 210930s2021\\\\si\\\\\\o\\\\\101\0\eng\d 001440019 019__ $$a1272857712$$a1272957717$$a1272995930$$a1273978317 001440019 020__ $$a9789811639159$$q(electronic bk.) 001440019 020__ $$a9811639159$$q(electronic bk.) 001440019 020__ $$z9811639140 001440019 020__ $$z9789811639142 001440019 0247_ $$a10.1007/978-981-16-3915-9$$2doi 001440019 035__ $$aSP(OCoLC)1269618223 001440019 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ 001440019 049__ $$aISEA 001440019 050_4 $$aTK5105.8857 001440019 08204 $$a004.67/8$$223 001440019 1112_ $$aDDCIoT (Conference)$$d(2021 :$$cKota, India) 001440019 24510 $$aEmerging trends in data driven computing and communications :$$bproceedings of DDCIoT 2021 /$$cRajeev Mathur, C.P. Gupta, Vaibhav Katewa, Dharm Singh Jat, Neha Yadav, editors. 001440019 2463_ $$aDDCIoT 2021 001440019 260__ $$aSingapore :$$bSpringer,$$c2021. 001440019 300__ $$a1 online resource 001440019 336__ $$atext$$btxt$$2rdacontent 001440019 337__ $$acomputer$$bc$$2rdamedia 001440019 338__ $$aonline resource$$bcr$$2rdacarrier 001440019 4901_ $$aStudies in autonomic, data-driven and industrial computing 001440019 500__ $$aIncludes author index. 001440019 5050_ $$aHybrid Deep Learning Model for Real-time Detection of Denial of Service Attacks in Software Defined Networks -- CP-ABE Scheme with Decryption Keys of Constant Size using ECC with Expressive Threshold Access Structure -- Facial Expressions Recognization Based on DRLBP and CNN Classification -- Post Stroke Readmission Prediction Model Using Machine Learning Algorithms -- Handwriting Recognition Using Deep Learning -- A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Score in Imperfect Information Game -- A Review Paper on Sign Language Recognition using Machine Learning Techniques -- Deep Learning Methods for the Prediction of Chronic Diseases: A systematic review -- Cyber Infrastructure for Advanced Research with High Performance Edge Computing -- A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction. 001440019 506__ $$aAccess limited to authorized users. 001440019 520__ $$aThis book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 2021, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems. 001440019 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 13, 2021). 001440019 650_0 $$aInternet of things$$vCongresses. 001440019 650_0 $$aMachine learning$$vCongresses. 001440019 650_6 $$aInternet des objets$$vCongrès. 001440019 650_6 $$aApprentissage automatique$$vCongrès. 001440019 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001440019 655_7 $$aConference papers and proceedings.$$2lcgft 001440019 655_7 $$aActes de congrès.$$2rvmgf 001440019 655_0 $$aElectronic books. 001440019 7001_ $$aMathur, Rajeev. 001440019 7001_ $$aGupta, C. P.$$q(Chandra Prakash),$$cDr. 001440019 7001_ $$aKatewa, Vaibhav. 001440019 7001_ $$aJat, Dharm Singh. 001440019 7001_ $$aYadav, Neha. 001440019 77608 $$iPrint version:$$aDDCIoT (Conference) (2021 : Kota, India).$$tEmerging trends in data driven computing and communications.$$dSingapore : Springer, 2021$$z9811639140$$z9789811639142$$w(OCoLC)1255174017 001440019 830_0 $$aStudies in autonomic, data-driven and industrial computing. 001440019 852__ $$bebk 001440019 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3915-9$$zOnline Access$$91397441.1 001440019 909CO $$ooai:library.usi.edu:1440019$$pGLOBAL_SET 001440019 980__ $$aBIB 001440019 980__ $$aEBOOK 001440019 982__ $$aEbook 001440019 983__ $$aOnline 001440019 994__ $$a92$$bISE