Zobrazeno 1 - 10
of 4 859
pro vyhledávání: '"Kootstra"'
Autor:
Sokolova, Maria, Blok, Pieter M., Mencarelli, Angelo, Vroegop, Arjan, van Helmond, Aloysius, Kootstra, Gert
In recent years, powerful data-driven deep-learning techniques have been developed and applied for automated catch registration. However, these methods are dependent on the labelled data, which is time-consuming, labour-intensive, expensive to collec
Externí odkaz:
http://arxiv.org/abs/2410.04880
The 3D reconstruction of plants is challenging due to their complex shape causing many occlusions. Next-Best-View (NBV) methods address this by iteratively selecting new viewpoints to maximize information gain (IG). Deep-learning-based NBV (DL-NBV) m
Externí odkaz:
http://arxiv.org/abs/2410.14790
Learning from Demonstration offers great potential for robots to learn to perform agricultural tasks, specifically selective harvesting. One of the challenges is that the target fruit can be oscillating while approaching. Grasping oscillating targets
Externí odkaz:
http://arxiv.org/abs/2409.16957
With the current demand for automation in the agro-food industry, accurately detecting and localizing relevant objects in 3D is essential for successful robotic operations. However, this is a challenge due the presence of occlusions. Multi-view perce
Externí odkaz:
http://arxiv.org/abs/2404.12963
This study presents an automated lameness detection system that uses deep-learning image processing techniques to extract multiple locomotion traits associated with lameness. Using the T-LEAP pose estimation model, the motion of nine keypoints was ex
Externí odkaz:
http://arxiv.org/abs/2401.05202
Robots are increasingly used in tomato greenhouses to automate labour-intensive tasks such as selective harvesting and de-leafing. To perform these tasks, robots must be able to accurately and efficiently perceive the plant nodes that need to be cut,
Externí odkaz:
http://arxiv.org/abs/2311.16759
In the current demand for automation in the agro-food industry, accurately detecting and localizing relevant objects in 3D is essential for successful robotic operations. However, this is a challenge due the presence of occlusions. Multi-view percept
Externí odkaz:
http://arxiv.org/abs/2311.15674
Greenhouse production of fruits and vegetables in developed countries is challenged by labor 12 scarcity and high labor costs. Robots offer a good solution for sustainable and cost-effective 13 production. Acquiring accurate spatial information about
Externí odkaz:
http://arxiv.org/abs/2311.04699
Creatinine clearance/eGFR ratio: a simple index for muscle mass related to mortality in ICU patients
Autor:
Meint Volbeda, Hendrik W. Zijlstra, Adrian Post, Jenny E. Kootstra-Ros, Peter H. J. van der Voort, Casper F. M. Franssen, Maarten W. Nijsten
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Introduction In patients admitted to the intensive care unit (ICU), muscle mass is inversely associated with mortality. Although muscle mass can be estimated with 24-h urinary creatinine excretion (UCE), its use for risk prediction in indivi
Externí odkaz:
https://doaj.org/article/e75f3d019a8a489084d542e123029b9e
