001443235 000__ 04716cam\a2200685\i\4500 001443235 001__ 1443235 001443235 003__ OCoLC 001443235 005__ 20230310003533.0 001443235 006__ m\\\\\o\\d\\\\\\\\ 001443235 007__ cr\un\nnnunnun 001443235 008__ 211215s2022\\\\si\a\\\\o\\\\\101\0\eng\d 001443235 019__ $$a1287895648$$a1287924557$$a1294360144$$a1296666729 001443235 020__ $$a9789811666360$$q(electronic bk.) 001443235 020__ $$a9811666369$$q(electronic bk.) 001443235 020__ $$z9789811666353$$q(print) 001443235 020__ $$z9811666350 001443235 0247_ $$a10.1007/978-981-16-6636-0$$2doi 001443235 035__ $$aSP(OCoLC)1288574819 001443235 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCF$$dOCLCO$$dDCT$$dDKU$$dOCLCQ$$dOCLCO$$dOCLCQ 001443235 049__ $$aISEA 001443235 050_4 $$aQA76.9.B45 001443235 08204 $$a005.7$$223 001443235 1112_ $$aInternational Conference on Big Data, IoT, and Machine Learning$$d(2021 :$$cOnline) 001443235 24510 $$aProceedings of the International Conference on Big Data, IoT, and Machine Learning :$$bBIM 2021 /$$cMohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, Kanad Ray, editors. 001443235 2463_ $$aBIM 2021 001443235 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001443235 300__ $$a1 online resource (xxiv, 801 pages) :$$billustrations (some color) 001443235 336__ $$atext$$btxt$$2rdacontent 001443235 337__ $$acomputer$$bc$$2rdamedia 001443235 338__ $$aonline resource$$bcr$$2rdacarrier 001443235 347__ $$atext file 001443235 347__ $$bPDF 001443235 4901_ $$aLecture notes on data engineering and communications technologies,$$x2367-4520 ;$$vvolume 95 001443235 500__ $$a"However, due to the COVID-19 pandemic situation, BIM 2021 took place in full virtual mode."--Preface 001443235 500__ $$aIncludes author index. 001443235 5050_ $$aPerformance Analysis of Classifier for Chronic Kidney Disease Prediction Using SVM, DNN, and KNN -- Comparative Analysis of Machine Learning Techniques in Classification Cervical Cancer using Isolation Forest with ADASYN -- Computer-Aided Cataract Detection Using Random Forest Classifier -- COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients -- Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms -- A Comprehensive Analysis of Most Relevant Features Causes Heart Disease using Machine Learning Algorithms -- Early Stage Detection of Heart Failure using Machine Learning Techniques -- Automatic License Plate Recognition System For Bangladeshi Vehicles Using Deep Neural Network -- Vulnerability Analysis and Robust Training with Additive Noise for FGSM attack on Transfer Learning based Brain Tumor Detection from MRI -- Performance Evaluation of Convolution Neural Network based Object Detection Model for Bangladeshi Traffic Vehicle Detection -- Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks -- A Convolutional Neural Network Model for Screening COVID-19 Patients Based on CT Scan Images -- Real-Time Face Recognition System for Remote Employee Tracking. 001443235 506__ $$aAccess limited to authorized users. 001443235 520__ $$aThis book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox's Bazar, Bangladesh, during 23-25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field. 001443235 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 15, 2021). 001443235 650_0 $$aBig data$$vCongresses. 001443235 650_0 $$aMachine learning$$vCongresses. 001443235 650_0 $$aInternet of things$$vCongresses. 001443235 650_6 $$aDonnées volumineuses$$vCongrès. 001443235 650_6 $$aApprentissage automatique$$vCongrès. 001443235 650_6 $$aInternet des objets$$vCongrès. 001443235 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001443235 655_0 $$aElectronic books. 001443235 7001_ $$aArefin, Mohammad Shamsul,$$eeditor. 001443235 7001_ $$aKaiser, M. Shamim,$$eeditor. 001443235 7001_ $$aBandyopadhyay, Anirban,$$eeditor. 001443235 7001_ $$aAhad, Md. Atiqur Rahman,$$eeditor. 001443235 7001_ $$aRay, Kanad,$$eeditor. 001443235 77608 $$iPrint version:$$aInternational Conference on Big Data, IoT, and Machine Learning (2021 : Online).$$tProceedings of the International Conference on Big Data, IoT, and Machine Learning.$$dSingapore : Springer, [2022]$$z9811666350$$z9789811666353$$w(OCoLC)1266256823 001443235 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 95. 001443235 852__ $$bebk 001443235 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-6636-0$$zOnline Access$$91397441.1 001443235 909CO $$ooai:library.usi.edu:1443235$$pGLOBAL_SET 001443235 980__ $$aBIB 001443235 980__ $$aEBOOK 001443235 982__ $$aEbook 001443235 983__ $$aOnline 001443235 994__ $$a92$$bISE