LEADER 01016nam0-2200325---450- 001 990008320200403321 005 20101122140902.0 010 $a981-02-1704-8 035 $a000832020 035 $aFED01000832020 035 $a(Aleph)000832020FED01 035 $a000832020 100 $a20060504d1995----km-y0itay50------ba 101 0 $aeng 102 $aSG 105 $aa-------001yy 200 1 $aSymmetries of islamic geometrical patterns$eby Syed Jan Abas and Amer Shaker Salman$fwith forewords by Ahmed Moustafa and Michael Atiyah 210 $aSingapore [etc.]$cWorld Scientific$dc1995 215 $axxii, 396 p.$cill.$d24 cm 700 1$aAbas,$bSyed Jan$0299074 701 1$aSalman,$bAmer Shaker$0500335 702 1$aMoustafa,$bAhmed 702 1$aAtiyah,$bMichael Francis 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008320200403321 952 $a1E-121$bD.S.F. 8777$fFI1 959 $aFI1 996 $aSymmetries of islamic geometrical patterns$9744728 997 $aUNINA LEADER 01397aam 2200373I 450 001 9910710244103321 005 20160309011334.0 024 8 $aGOVPUB-C13-1fdb3d3cf24c9e48fd6691dec3730fbd 035 $a(CKB)5470000002476847 035 $a(OCoLC)944187856 035 $a(EXLCZ)995470000002476847 100 $a20160309d1979 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aInvestigation of the effects of heating and air conditioning on the performance of smoke detectors in mobile homes /$fRichard W. Bukowski 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d1979. 215 $a1 online resource 225 1 $aNBSIR ;$v79-1915 300 $a1979. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 700 $aBukowski$b Richard$01385197 701 $aBukowski$b Richard$01385197 712 02$aUnited States.$bNational Bureau of Standards. 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910710244103321 996 $aInvestigation of the effects of heating and air conditioning on the performance of smoke detectors in mobile homes$93452349 997 $aUNINA LEADER 04584nam 22007935 450 001 9910886097503321 005 20240828130229.0 010 $a9783031615894 010 $a3031615891 024 7 $a10.1007/978-3-031-61589-4 035 $a(MiAaPQ)EBC31622037 035 $a(Au-PeEL)EBL31622037 035 $a(CKB)34455954700041 035 $a(DE-He213)978-3-031-61589-4 035 $a(Exl-AI)31622037 035 $a(EXLCZ)9934455954700041 100 $a20240828d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBusiness Analytics and Decision Making in Practice $eProceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE /$fedited by Ali Emrouznejad, Panagiotis D. Zervopoulos, Ilhan Ozturk, Dima Jamali, John Rice 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (399 pages) 225 1 $aLecture Notes in Operations Research,$x2731-0418 311 08$a9783031615887 311 08$a3031615883 327 $aPreface -- Contents -- 1 Internet of Things (IoT) a Trending Technology: Transforms the Hospitality Industry. Case Study: W Costa Navarino (Messinia, Greece) -- Introduction -- Literature Review -- Internet of Things: Application in the Hospitality Industry via Solutions/Examples -- Case Study W Costa Navarino -- Applications of Internet of Things in W Costa Navarino -- Conclusions -- References -- 2 Anomaly Detection in Enterprise Payment Systems: An Ensemble Machine Learning Approach -- Introduction -- Related Work -- Research Methodology -- Data Collection and Preprocessing -- Time Series Model Development -- Experimental Analysis -- SARIMAX Model -- Facebook-Prophet Model -- Support Vector Machines Model -- Performance Evaluation -- Conclusion and Future Work -- Conclusion -- Future Work -- References -- 3 Impact of ChatGPT on Educational Strategies for Future-Proof Business Data Analyst: Machine Learning Code Generation in Teaching and Learning -- Introduction -- Context -- Objectives -- Literature Review$7Generated by AI. 330 $aThis book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8?11, 2024, at the University of Sharjah, UAE. ?The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics. 410 0$aLecture Notes in Operations Research,$x2731-0418 606 $aOperations research 606 $aBusiness information services 606 $aProduction management 606 $aBusiness logistics 606 $aArtificial intelligence 606 $aQuantitative research 606 $aOperations Research and Decision Theory 606 $aIT in Business 606 $aOperations Management 606 $aSupply Chain Management 606 $aArtificial Intelligence 606 $aData Analysis and Big Data 615 0$aOperations research. 615 0$aBusiness information services. 615 0$aProduction management. 615 0$aBusiness logistics. 615 0$aArtificial intelligence. 615 0$aQuantitative research. 615 14$aOperations Research and Decision Theory. 615 24$aIT in Business. 615 24$aOperations Management. 615 24$aSupply Chain Management. 615 24$aArtificial Intelligence. 615 24$aData Analysis and Big Data. 676 $a658.403 700 $aEmrouznejad$b Ali$0993586 701 $aZervopoulos$b Panagiotis D$01771301 701 $aOzturk$b Ilhan$01771302 701 $aJamali$b Dima$01771303 701 $aRice$b John$0753857 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910886097503321 996 $aBusiness Analytics and Decision Making in Practice$94258013 997 $aUNINA