Performance Evaluation and Benchmarking of Intelligent Systems:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2009
|
| Ausgabe: | 1st ed. 2009 |
| Schlagworte: | |
| Online-Zugang: | DE-355 Volltext |
| Beschreibung: | 1 Online-Ressource (XIX, 338 Seiten) |
| ISBN: | 9781441904928 |
| DOI: | 10.1007/978-1-4419-0492-8 |
Internformat
MARC
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| 245 | 1 | 0 | |a Performance Evaluation and Benchmarking of Intelligent Systems |c edited by Raj Madhavan, Edward Tunstel, Elena Messina |
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| 505 | 8 | |a Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics | |
| 650 | 4 | |a System Performance and Evaluation | |
| 650 | 4 | |a Control, Robotics, Automation | |
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| 650 | 4 | |a Mathematical and Computational Engineering Applications | |
| 650 | 4 | |a Electronic digital computers / Evaluation | |
| 650 | 4 | |a Control engineering | |
| 650 | 4 | |a Robotics | |
| 650 | 4 | |a Automation | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Engineering mathematics | |
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Datensatz im Suchindex
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| contents | Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics |
| ctrlnum | (ZDB-2-SCS)978-1-4419-0492-8 (DE-599)BVBBV050122713 |
| dewey-full | 004.24 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.24 |
| dewey-search | 004.24 |
| dewey-sort | 14.24 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4419-0492-8 |
| edition | 1st ed. 2009 |
| format | Electronic eBook |
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| id | DE-604.BV050122713 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-15T11:05:28Z |
| institution | BVB |
| isbn | 9781441904928 |
| language | English |
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| physical | 1 Online-Ressource (XIX, 338 Seiten) |
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| publishDate | 2009 |
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| publisher | Springer US |
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| spelling | Performance Evaluation and Benchmarking of Intelligent Systems edited by Raj Madhavan, Edward Tunstel, Elena Messina 1st ed. 2009 New York, NY Springer US 2009 1 Online-Ressource (XIX, 338 Seiten) txt rdacontent c rdamedia cr rdacarrier Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics System Performance and Evaluation Control, Robotics, Automation Artificial Intelligence Mathematical and Computational Engineering Applications Electronic digital computers / Evaluation Control engineering Robotics Automation Artificial intelligence Engineering mathematics Engineering / Data processing Madhavan, Raj edt Tunstel, Edward edt Messina, Elena edt Erscheint auch als Druck-Ausgabe 9781441904911 Erscheint auch als Druck-Ausgabe 9781441904935 Erscheint auch als Druck-Ausgabe 9781489983008 https://doi.org/10.1007/978-1-4419-0492-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Performance Evaluation and Benchmarking of Intelligent Systems Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics System Performance and Evaluation Control, Robotics, Automation Artificial Intelligence Mathematical and Computational Engineering Applications Electronic digital computers / Evaluation Control engineering Robotics Automation Artificial intelligence Engineering mathematics Engineering / Data processing |
| title | Performance Evaluation and Benchmarking of Intelligent Systems |
| title_auth | Performance Evaluation and Benchmarking of Intelligent Systems |
| title_exact_search | Performance Evaluation and Benchmarking of Intelligent Systems |
| title_full | Performance Evaluation and Benchmarking of Intelligent Systems edited by Raj Madhavan, Edward Tunstel, Elena Messina |
| title_fullStr | Performance Evaluation and Benchmarking of Intelligent Systems edited by Raj Madhavan, Edward Tunstel, Elena Messina |
| title_full_unstemmed | Performance Evaluation and Benchmarking of Intelligent Systems edited by Raj Madhavan, Edward Tunstel, Elena Messina |
| title_short | Performance Evaluation and Benchmarking of Intelligent Systems |
| title_sort | performance evaluation and benchmarking of intelligent systems |
| topic | System Performance and Evaluation Control, Robotics, Automation Artificial Intelligence Mathematical and Computational Engineering Applications Electronic digital computers / Evaluation Control engineering Robotics Automation Artificial intelligence Engineering mathematics Engineering / Data processing |
| topic_facet | System Performance and Evaluation Control, Robotics, Automation Artificial Intelligence Mathematical and Computational Engineering Applications Electronic digital computers / Evaluation Control engineering Robotics Automation Artificial intelligence Engineering mathematics Engineering / Data processing |
| url | https://doi.org/10.1007/978-1-4419-0492-8 |
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