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Synopsis
Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue.
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About the Author
Aydin Azizi is a university professor at the German University of Technology, also he is the Research Focal Point of The Research Council of OMAN (TRC). His research area is Mechatronics focusing on developing and investigating different Artificial Intelligent Techniques to model, control and optimize the complex nonlinear systems.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2017
- ISBN 10 6202061790
- ISBN 13 9786202061797
- BindingPaperback
- LanguageEnglish
- Number of pages96
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Applied Neural Networks: Modeling and Control of Wound Healing Process
Published by
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue. 96 pp. Englisch. Seller Inventory # 9786202061797
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Applied Neural Networks: Modeling and Control of Wound Healing Process
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue. Seller Inventory # 9786202061797
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Applied Neural Networks: Modeling and Control of Wound Healing Process
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Azizi AydinAydin Azizi is a university professor at the German University of Technology, also he is the Research Focal Point of The Research Council of OMAN (TRC). His research area is Mechatronics focusing on developing and investig. Seller Inventory # 385923917
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Applied Neural Networks: Modeling and Control of Wound Healing Process
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Seller Inventory # zk6202061790
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Applied Neural Networks: Modeling and Control of Wound Healing Process
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LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Taschenbuch
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Taschenbuch. Condition: Neu. Neuware -Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9786202061797
Quantity: 2 available