LEADER 03382oas 2201033 a 450 001 9910144200003321 005 20260218113042.0 035 $a(DE-599)ZDB2227859-X 035 $a(OCoLC)64695667 035 $a(CONSER) 2006249085 035 $a(CKB)1000000000214018 035 $a(DE-599)2227859-X 035 $a(EXLCZ)991000000000214018 100 $a20060316a20069999 sy a 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEvidence based library and information practice 210 $aEdmonton, AB $cUniversity of Alberta Libraries$dİ2006- 300 $aRefereed/Peer-reviewed 300 $aTitle from title screen (publisher's Web site, viewed Mar. 16, 2006). 300 $a"EBLIP is a peer reviewed, open access journal published quarterly by the University of Alberta Learning Services, using the OJS Software. The purpose of the journal is to provide a forum for librarians and other information professionals to discover research that may contribute to decision making in professional practice. EBLIP publishes original research and commentary on the topic of evidence based library and information practice, as well as reviews of previously published research (evidence summaries)--on a wide number of topics." 311 08$a1715-720X 517 1 $aEBLIP 606 $aLibrary science$xResearch$vPeriodicals 606 $aInformation science$xResearch$vPeriodicals 606 $aEvidence-based library science$vPeriodicals 606 $aLibrary Services 606 $aProfessional Practice 606 $aInformation Services 606 $aEvidence-based library science$2fast$3(OCoLC)fst01762270 606 $aInformation science$xResearch$2fast$3(OCoLC)fst00972662 606 $aLibrary science$xResearch$2fast$3(OCoLC)fst00997958 608 $aFulltext. 608 $aInternet Resources. 608 $aPeriodicals. 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 615 0$aLibrary science$xResearch 615 0$aInformation science$xResearch 615 0$aEvidence-based library science 615 2$aLibrary Services. 615 2$aProfessional Practice. 615 2$aInformation Services. 615 7$aEvidence-based library science. 615 7$aInformation science$xResearch. 615 7$aLibrary science$xResearch. 712 02$aCanadian Library Association.$bEvidence-Based Librarianship Interest Group. 801 0$bHNC 801 1$bHNC 801 2$bHNC 801 2$bZYU 801 2$bDLC 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCF 801 2$bOCLCQ 801 2$bLIP 801 2$bOCLCO 801 2$bXFH 801 2$bOCLCO 801 2$bWY@ 801 2$bOCLCO 801 2$bOCLCA 801 2$bBUF 801 2$bOCLCO 801 2$bU3W 801 2$bOCLCO 801 2$bAU@ 801 2$bOCLCO 801 2$bWYU 801 2$bLND 801 2$bCASUM 801 2$bUWO 801 2$bOCLCO 801 2$bOCLCA 801 2$bVT2 801 2$bOCLCO 801 2$bBWN 801 2$bS2H 801 2$bOCLCO 801 2$bOCLCA 801 2$bOCLCQ 906 $aJOURNAL 912 $a9910144200003321 996 $aEvidence based library and information practice$92293344 997 $aUNINA LEADER 03406nam 22005413 450 001 9911019979503321 005 20251116145812.0 010 $a9781394351800 010 $a1394351801 010 $a9781394351817 010 $a139435181X 010 $a9781394351794 010 $a1394351798 035 $a(MiAaPQ)EBC31876547 035 $a(Au-PeEL)EBL31876547 035 $a(CKB)37193732400041 035 $a(Perlego)4785261 035 $a(OCoLC)1485004852 035 $a(EXLCZ)9937193732400041 100 $a20250115d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMethods and Applications of Artificial Intelligence $eDynamic Response, Learning, Random Forest, Linear Regression, Interoperability, Additive Manufacturing and Mechatronics 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2025. 210 4$dİ2025. 215 $a1 online resource (253 pages) 225 1 $aISTE Invoiced Series 311 08$a9781786309990 311 08$a1786309998 330 8 $aArtificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The first is access to vast quantities of data, such as in the industrial field, the advent of Industry 4.0, which promotes automation and data sharing in several technologies. Another factor is the continuous improvement in computing power thanks to the development of ever more powerful processors and the optimization of algorithms. With these two limitations removed, the focus of most AI developments is on the quality of predictions. The integration of AI into the industrial domain represents an exciting new frontier for innovation. Just as AI has transformed many other sectors, its application to mechanical technologies enables significant improvements in design, manufacturing and quality control processes: from computer-aided design (CAD) to printing parameter optimization, defect detection and real-time monitoring. This type of technology requires computer systems, data with management systems and advanced algorithms which can be used by AIs. In mechanical engineering, AI offers many possibilities in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration, etc. Methods and Applications of Artificial Intelligence is dedicated to the methods and applications of AI in mechanical engineering. Each chapter clearly sets out the techniques used and developed and accompanies them with illustrative examples. The book is aimed at students but is also a valuable resource for practicing engineers and research lecturers. 410 0$aISTE Invoiced Series 606 $aCOMPUTERS / Artificial Intelligence / General$2bisacsh 606 $aTECHNOLOGY & ENGINEERING / Mechanical$2bisacsh 615 7$aCOMPUTERS / Artificial Intelligence / General 615 7$aTECHNOLOGY & ENGINEERING / Mechanical 676 $a006.3 700 $aEl Hami$b Abdelkhalak$0930844 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019979503321 996 $aMethods and Applications of Artificial Intelligence$94417148 997 $aUNINA