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This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in robotics and the quality of exerted control and optimization are also prominent in this volume. Specific aspects of the design of diverse robots and their modelling and control are described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry.
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This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in robotics and the quality of exerted control and optimization are also prominent in this volume. Specific aspects of the design of diverse robots and their modelling and control are described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry.
Title: Automation 2024: Advances in Automation, ...
Publisher: Springer
Publication Date: 2025
Binding: Soft cover
Condition: New
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Seller Inventory # 1929862692
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Taschenbuch. Condition: Neu. Automation 2024: Advances in Automation, Robotics and Measurement Techniques | Roman Szewczyk (u. a.) | Taschenbuch | xii | Englisch | 2025 | Springer Nature Switzerland | EAN 9783031782657 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 130877106
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in roboticsand the quality of exerted control and optimizationare also prominent in this volume. Specific aspects of the design of diverse robotsand their modelling and controlare described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry. Seller Inventory # 9783031782657
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in roboticsand the quality of exerted control and optimizationare also prominent in this volume. Specific aspects of the design of diverse robotsand their modelling and controlare described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry. 368 pp. Englisch. Seller Inventory # 9783031782657
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Taschenbuch. Condition: Neu. Neuware -This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in robotics and the quality of exerted control and optimization are also prominent in this volume. Specific aspects of the design of diverse robots and their modelling and control are described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch. Seller Inventory # 9783031782657
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in robotics and the quality of exerted control and optimization are also prominent in this volume. Specific aspects of the design of diverse robots and their modelling and control are described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783031782657
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