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Computer Vision in Control Systems 7: Generative AI-Based Approach (Intelligent Systems Reference Library, 288) - Hardcover

 
9783032407863: Computer Vision in Control Systems 7: Generative AI-Based Approach (Intelligent Systems Reference Library, 288)
Hardcover
ISBN 10: 3032407869 ISBN 13: 9783032407863
Verlag: Springer, 2026

Inhaltsangabe

This book focuses on computer vision methodologies and technical solutions for advanced control systems, with an emphasis on Generative AI and intelligent paradigms. Contributions include Automated Measurement Techniques in Dental Research, Multimodal Modeling of Surgical Wounds with Massive Bleeding, Image-Based Re-Identification of Wild Animals with Advanced Generative Learning for Data Augmentation, Frequency-Spatial Method for Camouflaged Object Segmentation, Forecasting the Technical Object State Based on Image Processing Methods and Adaptive Neural Network Models, Digital Image Processing Methods for Non-Invasive Monitoring of the Condition of Steel and Reinforced Concrete Structures and V-SLAM with Deep Spatio-Temporal Modeling Based on Vision Transformer for Edge Platforms.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

This book focuses on computer vision methodologies and technical solutions for advanced control systems, with an emphasis on Generative AI and intelligent paradigms. Contributions include Automated Measurement Techniques in Dental Research, Multimodal Modeling of Surgical Wounds with Massive Bleeding, Image-Based Re-Identification of Wild Animals with Advanced Generative Learning for Data Augmentation, Frequency-Spatial Method for Camouflaged Object Segmentation, Forecasting the Technical Object State Based on Image Processing Methods and Adaptive Neural Network Models, Digital Image Processing Methods for Non-Invasive Monitoring of the Condition of Steel and Reinforced Concrete Structures and V-SLAM with Deep Spatio-Temporal Modeling Based on Vision Transformer for Edge Platforms.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
3032407869
ISBN 13 
9783032407863
Einband
Gebundene Ausgabe
Anzahl der Seiten
192
Herausgeber
Favorskaya Margarita N., C. Jain Lakhmi
Kontakt zum Hersteller
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