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Computer Vision in Control Systems 7: Generative AI-Based Approach - Couverture rigide

 
9783032407863: Computer Vision in Control Systems 7: Generative AI-Based Approach
Couverture rigide
ISBN 10 : 3032407869 ISBN 13 : 9783032407863
Editeur : Springer Nature Switzerland AG, 2026

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2026
Langue
anglais
ISBN 10 
3032407869
ISBN 13 
9783032407863
Reliure
Copertina rigida
Nombre de pages
192
Éditeur
Favorskaya Margarita N., C. Jain Lakhmi
Coordonnées du fabricant
Elevation
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