LEADER 03100nam 22004693 450 001 9911019979503321 005 20250115080256.0 010 $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(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 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