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072 7 _aTEC020000
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245 1 0 _aInternational Virtual Conference on Industry 4.0
_h[electronic resource] :
_bSelect Proceedings of IVCI4.0 2020 /
_cedited by R. Jagadeesh Kannan, S. Geetha, Sravanthi Sashikumar, Carl Diver.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXIV, 473 p. 200 illus., 164 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v355
505 0 _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.
520 _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.
650 0 _aManufactures.
_931642
650 0 _aIndustrial Management.
_95847
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 1 4 _aMachines, Tools, Processes.
_931645
650 2 4 _aIndustrial Management.
_95847
650 2 4 _aControl, Robotics, Automation.
_931971
700 1 _aKannan, R. Jagadeesh.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aGeetha, S.
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700 1 _aSashikumar, Sravanthi.
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700 1 _aDiver, Carl.
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830 0 _aLecture Notes in Electrical Engineering,
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856 4 0 _uhttps://doi.org/10.1007/978-981-16-1244-2
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