LEADER 01275nam a2200325 i 4500 001 991002629699707536 008 020 $a9780521876070 (hbk.) 020 $a0521876079 (hbk.) 035 $ab14205932-39ule_inst 082 0 $a519.2$222 084 $aAMS 60-02 084 $aAMS 60G17 084 $aLC QA274.23.F746 100 1 $aFriz, Peter K.$0480232 245 10$aMultidimensional stochastic processes as rough paths :$btheory and applications /$cPeter K. Friz, Nicolas B. Victoir 260 $aCambridge, UK ;$aNew York :$bCambridge University Press,$c2010 300 $axiv, 656 p. :$bill. ;$c24 cm 440 0$aCambridge studies in advanced mathematics ;$v120 504 $aIncludes bibliographical references and index 650 0$aStochastic difference equations 650 0$aStochastic processes 650 0$aRandom measures 700 1 $aVictoir, Nicolas B. 907 $a.b14205932$b09-12-14$c17-11-14 912 $a991002629699707536 945 $aLE013 60-XX FRI51 (2010)$g1$i2013000224916$lle013$op$pE91.35$q-$rl$s- $t0$u1$v0$w1$x0$y.i15648898$z04-12-14 996 $aMultidimensional stochastic processes as rough paths$9257213 997 $aUNISALENTO 998 $ale013$b17-11-14$cm$da $e-$feng$guk $h0$i0 LEADER 01336oam 2200409 450 001 9910708024303321 005 20180426124522.0 035 $a(CKB)5470000002470270 035 $a(OCoLC)1030746928 035 $a(OCoLC)995470000002470270 035 $a(EXLCZ)995470000002470270 100 $a20180406d2014 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe 3D Elevation Program $esummary for Oklahoma /$fWilliam J. Carswell, Jr 210 1$aReston, VA :$cU.S. Department of the Interior, U.S. Geological Survey,$d2014. 215 $a1 online resource (2 unnumbered pages) $ccolor illustrations, color map 225 1 $aFact sheet ;$v2014-3053 300 $a"June 2014." 320 $aIncludes bibliographical references (page 2). 517 $a3D Elevation Program 606 $aDigital elevation models$zOklahoma 606 $aThree-dimensional imaging$zOklahoma 615 0$aDigital elevation models 615 0$aThree-dimensional imaging 700 $aCarswell$b William J.$01387067 712 02$aGeological Survey (U.S.), 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910708024303321 996 $aThe 3D Elevation Program$93436533 997 $aUNINA LEADER 03414nam 22006975 450 001 9910743681303321 005 20230901195011.0 010 $a9789819916207 010 $a9819916208 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(OCoLC)1397317448 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