| 000 | 03340nam a22006135i 4500 | ||
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| 001 | 978-981-19-8790-8 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125244.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230215s2023 si | s |||| 0|eng d | ||
| 020 |
_a9789811987908 _9978-981-19-8790-8 |
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| 024 | 7 |
_a10.1007/978-981-19-8790-8 _2doi |
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| 050 | 4 | _aTA703-705.4 | |
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_aTNC _2bicssc |
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_aTNC _2thema |
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_a624.15 _223 |
| 245 | 1 | 0 |
_aArtificial Intelligence in Mechatronics and Civil Engineering _h[electronic resource] : _bBridging the Gap / _cedited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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| 300 |
_aXII, 247 p. 112 illus., 89 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aEmerging Trends in Mechatronics, _x2731-4863 |
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| 505 | 0 | _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. | |
| 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. | ||
| 650 | 0 | _aEngineering geology. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aMechatronics. | |
| 650 | 0 | _aGeotechnical engineering. | |
| 650 | 0 | _aNeural networks (Computer science) . | |
| 650 | 1 | 4 | _aGeoengineering. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aMechatronics. |
| 650 | 2 | 4 | _aGeotechnical Engineering and Applied Earth Sciences. |
| 650 | 2 | 4 | _aMathematical Models of Cognitive Processes and Neural Networks. |
| 700 | 1 |
_aMomeni, Ehsan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aJahed Armaghani, Danial. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aAzizi, Aydin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811987892 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811987915 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811987922 |
| 830 | 0 |
_aEmerging Trends in Mechatronics, _x2731-4863 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-8790-8 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c175940 _d175940 |
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