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Computational Design of Cold Bent Glass Façades
However, it is very challenging to navigate the design space of cold bent glass panels due to the fragility of the material, which impedes the form-finding for practically feasible and aesthetically pleasing cold bent glass fa\c{c}ades.
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks
This work presents a proof-of-concept analyzing RGB images of different growth stages of grapevines with the aim to detect and quantify promising plant organs which are related to yield.
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping
Semantic labeling of 3D point clouds is important for the derivation of 3D models from real world scenarios in several economic fields such as building industry, facility management, town planning or heritage conservation.
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