LEADER 03141nam 2200481 450 001 9910494560803321 005 20230523191624.0 010 $a981-16-1244-7 024 7 $a10.1007/978-981-16-1244-2 035 $a(CKB)4100000011994834 035 $a(DE-He213)978-981-16-1244-2 035 $a(MiAaPQ)EBC6689211 035 $a(Au-PeEL)EBL6689211 035 $a(PPN)257351515 035 $a(EXLCZ)994100000011994834 100 $a20220416d2021 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInternational Virtual Conference on Industry 4.0 $eselect proceedings of IVCI4.0 2020 /$fR. Jagadeesh Kannan [and three others], editors 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XIV, 473 p. 200 illus., 164 illus. in color.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v355 311 $a981-16-1243-9 320 $aIncludes bibliographical references. 327 $aPre-diagnosis, Prediction and Report Generation of a Disease -- An Audio Aided Face and Text Recognition System for Visually Impaired -- Improving Prediction Accuracy using Machine Learning Classification Techniques for Alzheimer?s Disease in Healthcare Services -- Evolutionary Computing based Feature Selection for Cardiovascular Disease: A Review -- Readiness and Maturity Assessment Model to Measure the Industry 4.0 Ecosystem -- An Insight on Context-aware Mobile Application Execution in Mobile Cloud IoT (MCIoT) -- Breast Cancer Detection in Histology Images using Convolutional Neural Network -- A Novel Approach on Auto Scaling for Resource Scheduling using AWS -- A Blockchain-based COVID19 Protection Framework -- A State-Of-Art of Machine Learning Algorithms Applied Over Language Identification and Speech Recognition Models. 330 $aThis book presents the proceedings of the International Virtual Conference on Industry 4.0 (IVCI4.0 2020). This conference brings together specialists from the academia and industry sectors to promote the exchange of knowledge, ideas, and information on the latest developments and applied technologies in the field of Industry 4.0. The book discusses a wide range of topics such as the design of smart and intelligent products, developments in recent technologies, rapid prototyping and reverse engineering, multistage manufacturing processes, manufacturing automation in the Industry 4.0 model, cloud-based products, and cyber-physical and reconfigurable systems, etc. The volume supports the transfer of vital knowledge to the next generation of academics and practitioners. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v355 606 $aIndustry 4.0 615 0$aIndustry 4.0. 676 $a658.4038028563 702 $aJagadeesh Kannan$b R. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910494560803321 996 $aInternational Virtual Conference on Industry 4.0$91945359 997 $aUNINA