02699nam 2200505 450 99654795160331620230523212631.0981-19-8790-410.1007/978-981-19-8790-8(MiAaPQ)EBC7207146(Au-PeEL)EBL7207146(CKB)26186225400041(DE-He213)978-981-19-8790-8(PPN)268208107(EXLCZ)992618622540004120230523d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial intelligence in mechatronics and civil engineering bridging the gap /edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi1st ed. 2023.Singapore :Springer,[2023]©20231 online resource (254 pages)Emerging Trends in Mechatronics,2731-4863Print version: Momeni, Ehsan Artificial Intelligence in Mechatronics and Civil Engineering Singapore : Springer,c2023 9789811987892 Includes bibliographical references.1. Optical resistance switch for optical sensing -- 2. Empirical, statistical, and machine learning techniques for predicting surface settlement induced by Tunnelling -- 3. A review on the feasibility of Artificial Intelligence in Mechatronics -- 4. Feasibility of artificial intelligence techniques in rock characterization -- 5. A review on the application of soft computing techniques in Foundation Engineering.Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.Emerging Trends in Mechatronics,2731-4863Artificial intelligenceEngineering applicationsArtificial intelligenceEngineering applications.060Momeni EhsanJahed Armaghani DanialAzizi AydinMiAaPQMiAaPQMiAaPQBOOK996547951603316Artificial intelligence in mechatronics and civil engineering3374601UNISA