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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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Byoung-Gyu Song, Jong-Jin Bae and Namcheol Kang
We investigated the stochastic response of a person sitting in a driving vehicle to quantify the impact of an uncertain parameter important in controlling defect reduction in terms of ride comfort. Using CarSim software and MATLAB/Simulink, we developed ...
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Fotios Bosmos, Alexandros T. Tzallas, Markos G. Tsipouras, Evripidis Glavas and Nikolaos Giannakeas
The aim of this work is to highlight the possibilities of using VR applications in the informal learning process. This is attempted through the development of virtual reality cultural applications for historical monuments. For this purpose, the theoretic...
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Md Whaiduzzaman, Adnan Sakib, Nisha Jaman Khan, Sudipto Chaki, Labiba Shahrier, Sudipto Ghosh, Md. Saifur Rahman, Md. Julkar Nayeen Mahi, Alistair Barros, Colin Fidge, Scott Thompson-Whiteside and Tony Jan
This paper delves into the complex task of evaluating a website user interface (UI) and user experience (UX), a process complicated by gaps in research. To bridge this, we introduced an innovative human?computer interaction (HCI) framework that synergize...
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Marinela del Carmen Valencia Giraldo, Simon Ricard and François Anctil
There is currently much discussion as to whether probabilistic (top?down) or possibilistic (bottom?up) approaches are the most appropriate to estimate potential future climate impacts. In a context of deep uncertainty, such as future climate, bottom-up a...
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