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 beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, PA
IGI Global
[2020]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-7998-0301-0 https://doi.org/10.4018/978-1-7998-0301-0 https://doi.org/10.4018/978-1-7998-0301-0 https://doi.org/10.4018/978-1-7998-0301-0 https://doi.org/10.4018/978-1-7998-0301-0 |
| Zusammenfassung: | "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781799803034 |
| DOI: | 10.4018/978-1-7998-0301-0 |
Internformat
MARC
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| 245 | 1 | 0 | |a Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering |c Gebrail Bekdaş, Sinan Melih Nigdeli, Melda Yücel |
| 264 | 1 | |a Hershey, PA |b IGI Global |c [2020] | |
| 300 | |a 1 Online-Ressource | ||
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| 505 | 8 | |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 | |
| 520 | |a "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- | ||
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Civil engineering / Data processing | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Mechanical engineering / Data processing | |
| 650 | 4 | |a Industrial engineering / Data processing | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Civil engineering / Data processing |2 fast | |
| 650 | 7 | |a Industrial engineering / Data processing |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Mechanical engineering / Data processing |2 fast | |
| 700 | 1 | |a Bekdaş, Gebrail |4 edt | |
| 700 | 1 | |a Nigdeli, Sinan Melih |4 edt | |
| 700 | 1 | |a Yücel, Melda |4 edt | |
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Datensatz im Suchindex
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| author2_role | edt edt edt |
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| author_facet | Bekdaş, Gebrail Nigdeli, Sinan Melih Yücel, Melda |
| building | Verbundindex |
| bvnumber | BV046402029 |
| 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 | (OCoLC)1140169461 (DE-599)BVBBV046402029 |
| doi_str_mv | 10.4018/978-1-7998-0301-0 |
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| id | DE-604.BV046402029 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:51:17Z |
| institution | BVB |
| isbn | 9781799803034 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031814771 |
| oclc_num | 1140169461 |
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| publishDate | 2020 |
| publishDateSearch | 2020 |
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| publisher | IGI Global |
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| spelling | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdaş, Sinan Melih Nigdeli, Melda Yücel Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier 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 "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- Artificial intelligence Civil engineering / Data processing Machine learning Mechanical engineering / Data processing Industrial engineering / Data processing Artificial intelligence fast Civil engineering / Data processing fast Industrial engineering / Data processing fast Machine learning fast Mechanical engineering / Data processing fast Bekdaş, Gebrail edt Nigdeli, Sinan Melih edt Yücel, Melda edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-0301-0 Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-0302-7 https://doi.org/10.4018/978-1-7998-0301-0 Verlag URL des Erstveröffentlichers 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 Machine learning Mechanical engineering / Data processing Industrial engineering / Data processing Artificial intelligence fast Civil engineering / Data processing fast Industrial engineering / Data processing fast Machine learning fast Mechanical engineering / Data processing fast |
| 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 Bekdaş, Sinan Melih Nigdeli, Melda Yücel |
| title_fullStr | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdaş, Sinan Melih Nigdeli, Melda Yücel |
| title_full_unstemmed | Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering Gebrail Bekdaş, Sinan Melih Nigdeli, Melda Yücel |
| 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 Machine learning Mechanical engineering / Data processing Industrial engineering / Data processing Artificial intelligence fast Civil engineering / Data processing fast Industrial engineering / Data processing fast Machine learning fast Mechanical engineering / Data processing fast |
| topic_facet | Artificial intelligence Civil engineering / Data processing Machine learning Mechanical engineering / Data processing Industrial engineering / Data processing |
| url | https://doi.org/10.4018/978-1-7998-0301-0 |
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