LEADER 01457nam 2200409 n 450 001 996383478703316 005 20221102114338.0 035 $a(CKB)1000000000590234 035 $a(EEBO)2248543173 035 $a(UnM)99834158 035 $a(UnM)9928316600971 035 $a(EXLCZ)991000000000590234 100 $a20781208d1700 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 04$aThe case of the cow-keepers, within the weekly Bills of Mortality$b[electronic resource] $ein relation to the Bill now depending before this honourable House, for the better regulating select vestries 210 $a[London $cs.n.$d1700?] 215 $a1 sheet 300 $aDated 1700? by Wing; 1701? by ESTC. 300 $aWith a docket title. 300 $aRequesting provision in the Bill for a lesser rate upon land within the Bills of Mortality. 300 $aReproduction of original in the British Library. 330 $aeebo-0082 606 $aPasture, Right of$zEngland$vEarly works to 1800 606 $aCattle trade$zEngland$vEarly works to 1800 608 $aBroadsides$zEngland$y17th century.$2rbgenr 615 0$aPasture, Right of 615 0$aCattle trade 801 0$bUk-ES 801 1$bUk-ES 801 2$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996383478703316 996 $aThe case of the cow-keepers, within the weekly Bills of Mortality$92357682 997 $aUNISA LEADER 03362nam 22006735 450 001 9910741149603321 005 20251009094236.0 010 $a9789819948505$b(ebook) 010 $a9819948509 024 7 $a10.1007/978-981-99-4850-5 035 $a(MiAaPQ)EBC30703015 035 $a(Au-PeEL)EBL30703015 035 $a(DE-He213)978-981-99-4850-5 035 $a(PPN)272263419 035 $a(CKB)27991714700041 035 $a(EXLCZ)9927991714700041 100 $a20230816d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPredictive Analytics for Mechanical Engineering: A Beginners Guide /$fby Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (107 pages) $cillustrations 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712 311 08$aPrint version: Mahalle, Parikshit N. Predictive Analytics for Mechanical Engineering: a Beginners Guide Singapore : Springer Singapore Pte. Limited,c2023 9789819948499 320 $aIncludes bibliographical references. 327 $a1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions. 330 $aThis book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3712 606 $aComputational intelligence 606 $aQuantitative research 606 $aMechanical engineering 606 $aInternet of things 606 $aComputational Intelligence 606 $aData Analysis and Big Data 606 $aMechanical Engineering 606 $aInternet of Things 615 0$aComputational intelligence. 615 0$aQuantitative research. 615 0$aMechanical engineering. 615 0$aInternet of things. 615 14$aComputational Intelligence. 615 24$aData Analysis and Big Data. 615 24$aMechanical Engineering. 615 24$aInternet of Things. 676 $a658.4038028563 700 $aMahalle$b Parikshit N.$0947748 702 $aHujare$b Pravin P. 702 $aShinde$b Gitanjali Rahul$f1983- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741149603321 996 $aPredictive Analytics for Mechanical Engineering$93558327 997 $aUNINA