001433985 000__ 04205cam\a2200637\i\4500
001433985 001__ 1433985
001433985 003__ OCoLC
001433985 005__ 20230309003704.0
001433985 006__ m\\\\\o\\d\\\\\\\\
001433985 007__ cr\un\nnnunnun
001433985 008__ 210217s2021\\\\si\\\\\\o\\\\\000\0\eng\d
001433985 019__ $$a1237863673$$a1241066986$$a1244120051
001433985 020__ $$a9789813344129$$q(electronic bk.)
001433985 020__ $$a9813344121$$q(electronic bk.)
001433985 020__ $$z9813344113
001433985 020__ $$z9789813344112
001433985 0247_ $$a10.1007/978-981-33-4412-9$$2doi
001433985 035__ $$aSP(OCoLC)1237721160
001433985 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dDKU$$dOHX$$dN$T$$dDCT$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dOCLCQ
001433985 049__ $$aISEA
001433985 050_4 $$aR859.7.D35
001433985 08204 $$a610.285$$223
001433985 24500 $$aAI and machine learning paradigms for health monitoring system :$$bintelligent data analytics /$$cHasmat Malik, Nuzhat Fatema, Jafar A. Alzubi, editors.
001433985 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001433985 300__ $$a1 online resource
001433985 336__ $$atext$$btxt$$2rdacontent
001433985 337__ $$acomputer$$bc$$2rdamedia
001433985 338__ $$aonline resource$$bcr$$2rdacarrier
001433985 347__ $$atext file
001433985 347__ $$bPDF
001433985 4901_ $$aStudies in big data ;$$vvolume 86
001433985 5050_ $$aOptimization Solutions for Demand Side Management and Monitoring -- An Insight into Tool and Software Used in AI, Machine Learning and Data Analytics -- Security Enhancement and Monitoring for Data Sensing Networks Using a Novel Asymmetric Mirror-Key Data Encryption Method -- Introduction to Cuckoo Search and its Paradigms: A Bibliographic Survey and Recommendations -- Routing Protocols for Internet of Vehicles: A Review -- Introduction to Particle Swarm Optimization and its Paradigms: A Bibliographic Survey -- Classification and Monitoring of Injuries Around Knee Using Radiographs Based Deep Learning Algorithm -- Artificial Intelligence: Its Role in Diagnosis and Monitoring against COVID-19 -- Predicting Future, past and Misinterpreted COVID-19 Cases using Bidirectional LSTM Model for Proper Health Monitoring: Advances in Data Analytics -- Data Driven Analysis to Identify the Role of Relational Benefit in Developing Customer Loyalty and Management: A Case Study.
001433985 506__ $$aAccess limited to authorized users.
001433985 520__ $$aThis book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data analytics tools and techniques and their applications to the class of several hospital and health real-life problems. In the later part, the applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied sciences such as the clinical services, medical image analysis, management support, quality analysis, bioinformatics, device analysis and operations. The book presents knowledge of experts in the form of chapters with the objective to introduce the theme of intelligent data analytics and discusses associated theoretical applications. At last, it presents simulation codes for the problems included in the book for better understanding for beginners.
001433985 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 15, 2021).
001433985 650_0 $$aMedical informatics.
001433985 650_0 $$aBig data.
001433985 650_0 $$aSoft computing.
001433985 650_0 $$aMachine learning.
001433985 650_0 $$aMedicine$$xData processing.
001433985 650_6 $$aMédecine$$xInformatique.
001433985 650_6 $$aDonnées volumineuses.
001433985 650_6 $$aInformatique douce.
001433985 650_6 $$aApprentissage automatique.
001433985 655_0 $$aElectronic books.
001433985 7001_ $$aMalik, Hasmat,$$eeditor.
001433985 7001_ $$aFatema, Nuzhat,$$eeditor.
001433985 7001_ $$aAlzubi, Jafar A.,$$eeditor.
001433985 77608 $$iPrint version:$$z9813344113$$z9789813344112$$w(OCoLC)1201378829
001433985 830_0 $$aStudies in big data ;$$vv. 86.
001433985 852__ $$bebk
001433985 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4412-9$$zOnline Access$$91397441.1
001433985 909CO $$ooai:library.usi.edu:1433985$$pGLOBAL_SET
001433985 980__ $$aBIB
001433985 980__ $$aEBOOK
001433985 982__ $$aEbook
001433985 983__ $$aOnline
001433985 994__ $$a92$$bISE