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Su-Wan Chung, Sung-Sam Hong and Byung-Kon Kim
Currently, damage in aging bridges is assessed visually, leading to significant personnel, time, and cost expenditures. Moreover, the results depend on the subjective judgment of the inspector. Machine-learning-based approaches, such as deep learning, ca...
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Yanjie Zhu, Weidong Xu, C. S. Cai and Wen Xiong
After years of service, bridges could lose their expected functions. Considering the significant number of bridges and the adverse inspecting environment, the urgent requirement for timely and efficient inspection solutions, such as computer vision techn...
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Yanmin Chen, Xiu Li, Mei Jia, Jiuliang Li, Tianyang Hu and Jun Luo
In order to achieve accurate segmentation of each grape image per berry, we construct a dataset composed of red globe grape samples and use a two-stage ?localization?segmentation? framework-based mask region convolutional neural network (Mask R-CNN) and ...
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Jesús Dassaef López-Barrios, Jesús Arturo Escobedo Cabello, Alfonso Gómez-Espinosa and Luis-Enrique Montoya-Cavero
In this paper, a mask region-based convolutional neural network (Mask R-CNN) is used to improve the performance of machine vision in the challenging task of detecting peduncles and fruits of green sweet peppers (Capsicum annuum L.) in greenhouses. One of...
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Rémi Chevallier, Marc Shapiro, Zebediah Engberg, Manuel Soler and Daniel Delahaye
Climate impact models of the non-CO2" role="presentation">CO2CO2
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emissions of aviation are still subject to significant uncertainties. Condensation trails, or contrails, are one of these non-CO2" role="presentation">CO2CO2
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effects. In order t...
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