LEADER 03353nam 22006735 450 001 9910743681303321 005 20230901195011.0 010 $a981-9916-20-8 024 7 $a10.1007/978-981-99-1620-7 035 $a(MiAaPQ)EBC30727064 035 $a(Au-PeEL)EBL30727064 035 $a(DE-He213)978-981-99-1620-7 035 $a(PPN)272738263 035 $a(CKB)28141335300041 035 $a(EXLCZ)9928141335300041 100 $a20230901d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Intelligence and Data Science Applications $eProceedings of MIDAS 2022 /$fedited by Amar Ramdane-Cherif, T. P. Singh, Ravi Tomar, Tanupriya Choudhury, Jung-Sup Um 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (559 pages) 225 1 $aAlgorithms for Intelligent Systems,$x2524-7573 311 08$aPrint version: Ramdane-Cherif, Amar Machine Intelligence and Data Science Applications Singapore : Springer Singapore Pte. Limited,c2023 9789819916191 327 $aBlockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach. 330 $aThis book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles?Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates. 410 0$aAlgorithms for Intelligent Systems,$x2524-7573 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aQuantitative research 606 $aMachine learning 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Analysis and Big Data 606 $aMachine Learning 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aQuantitative research. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Analysis and Big Data. 615 24$aMachine Learning. 676 $a006.3 700 $aRamdane-Cherif$b Amar$01427075 701 $aSingh$b T. P$01427076 701 $aTomar$b Ravi$01427077 701 $aChoudhury$b Tanupriya$01423894 701 $aUm$b Jung-Sup$0871310 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743681303321 996 $aMachine Intelligence and Data Science Applications$93559856 997 $aUNINA