001454838 000__ 02995cam\a22005297i\4500
001454838 001__ 1454838
001454838 003__ OCoLC
001454838 005__ 20230314003231.0
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001454838 008__ 230224s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001454838 020__ $$a9789811987908$$q(electronic bk.)
001454838 020__ $$a9811987904$$q(electronic bk.)
001454838 020__ $$z9789811987892
001454838 020__ $$z9811987890
001454838 0247_ $$a10.1007/978-981-19-8790-8$$2doi
001454838 035__ $$aSP(OCoLC)1371110498
001454838 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001454838 049__ $$aISEA
001454838 050_4 $$aTJ163.12
001454838 08204 $$a621.0285/63$$223/eng/20230224
001454838 24500 $$aArtificial intelligence in mechatronics and civil engineering :$$bbridging the gap /$$cedited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi.
001454838 264_1 $$aSingapore :$$bSpringer,$$c2023.
001454838 300__ $$a1 online resource (302 pages) :$$billustrations (black and white, and colour).
001454838 336__ $$atext$$btxt$$2rdacontent
001454838 337__ $$acomputer$$bc$$2rdamedia
001454838 338__ $$aonline resource$$bcr$$2rdacarrier
001454838 4901_ $$aEmerging trends in mechatronics
001454838 5050_ $$a1. 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.
001454838 506__ $$aAccess limited to authorized users.
001454838 520__ $$aRecent 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.
001454838 588__ $$aDescription based on print version record.
001454838 650_0 $$aMechatronics$$xData processing.
001454838 650_0 $$aCivil engineering$$xData processing.
001454838 650_0 $$aArtificial intelligence$$xEngineering applications.
001454838 655_0 $$aElectronic books.
001454838 7001_ $$aMomeni, Ehsan,$$eeditor.
001454838 7001_ $$aArmaghani, Danial Jahed,$$eeditor.
001454838 7001_ $$aAzizi, Aydin,$$eeditor.
001454838 77608 $$iPrint version:$$tArtificial intelligence in mechatronics and civil engineering.$$dSingapore : Springer Nature Singapore, 2023$$z9789811987892$$w(OCoLC)1368275748
001454838 830_0 $$aEmerging trends in mechatronics.
001454838 852__ $$bebk
001454838 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8790-8$$zOnline Access$$91397441.1
001454838 909CO $$ooai:library.usi.edu:1454838$$pGLOBAL_SET
001454838 980__ $$aBIB
001454838 980__ $$aEBOOK
001454838 982__ $$aEbook
001454838 983__ $$aOnline
001454838 994__ $$a92$$bISE