Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering:
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- |
| Beschreibung: | 21 PDFs (311 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799803034 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a TA347.A78 |b A79 2019e | |
| 082 | 7 | |a 620.00285/63 |2 23 | |
| 245 | 0 | 0 | |a Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |c Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2019] | |
| 300 | |a 21 PDFs (311 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 09/21/2019). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Civil engineering |x Data processing. | |
| 650 | 0 | |a Industrial engineering |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Mechanical engineering |x Data processing. | |
| 700 | 1 | |a Bekdas, Gebrail |d 1980- |e editor. | |
| 700 | 1 | |a Nigdeli, Sinan Melih |d 1982- |e editor. | |
| 700 | 1 | |a Yucel, Melda |d 1995- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019021269 | |
| 776 | 0 | 8 | |i Print version: |z 1799803015 |z 9781799803010 |w (DLC) 2019021269 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0301-0 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00227623 |
|---|---|
| _version_ | 1816797082310148096 |
| adam_text | |
| any_adam_object | |
| author2 | Bekdas, Gebrail 1980- Nigdeli, Sinan Melih 1982- Yucel, Melda 1995- |
| author2_role | edt edt edt |
| author2_variant | g b gb s m n sm smn m y my |
| author_facet | Bekdas, Gebrail 1980- Nigdeli, Sinan Melih 1982- Yucel, Melda 1995- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA347 |
| callnumber-raw | TA347.A78 A79 2019e |
| callnumber-search | TA347.A78 A79 2019e |
| callnumber-sort | TA 3347 A78 A79 42019E |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics. |
| ctrlnum | (CaBNVSL)slc20954131 (OCoLC)1120756508 |
| dewey-full | 620.00285/63 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620.00285/63 |
| dewey-search | 620.00285/63 |
| dewey-sort | 3620.00285 263 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00227623 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:55Z |
| institution | BVB |
| isbn | 9781799803034 |
| language | English |
| oclc_num | 1120756508 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 21 PDFs (311 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2019] 21 PDFs (311 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics. Restricted to subscribers or individual electronic text purchasers. "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/21/2019). Artificial intelligence. Civil engineering Data processing. Industrial engineering Data processing. Machine learning. Mechanical engineering Data processing. Bekdas, Gebrail 1980- editor. Nigdeli, Sinan Melih 1982- editor. Yucel, Melda 1995- editor. IGI Global, publisher. (Original) (DLC)2019021269 Print version: 1799803015 9781799803010 (DLC) 2019021269 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0301-0 Volltext |
| spellingShingle | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics. Artificial intelligence. Civil engineering Data processing. Industrial engineering Data processing. Machine learning. Mechanical engineering Data processing. |
| title | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |
| title_auth | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |
| title_exact_search | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |
| title_full | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. |
| title_fullStr | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. |
| title_full_unstemmed | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. |
| title_short | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |
| title_sort | artificial intelligence and machine learning applications in civil mechanical and industrial engineering |
| topic | Artificial intelligence. Civil engineering Data processing. Industrial engineering Data processing. Machine learning. Mechanical engineering Data processing. |
| topic_facet | Artificial intelligence. Civil engineering Data processing. Industrial engineering Data processing. Machine learning. Mechanical engineering Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0301-0 |
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