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Ji-hwan Kim, Dong-seok Lee and Soon-kak Kwon
This paper proposes a method to classify food types and to estimate meal intake amounts in pre- and post-meal images through a deep learning object detection network. The food types and the food regions are detected through Mask R-CNN. In order to make b...
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Liming Zhang, Xingyu Zhou, Jijia Sun, Peiyin Jiang, Zhihao Lu and Cheng Cheng
The stimulated reservoir volume (SRV) technology extends conventional fracturing technology. Understanding how to effectively and accurately determine modified fracture shape and volume is the key point to evaluating the stimulation effect. Using electro...
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Xing Zhang, Jiawei Zhang, Lei Tian, Xiang Liu and Shuohong Wang
In response to the issues of the existing sewer defect detection models, which are not applicable to small computing platforms due to their complex structure and large computational volume, as well as the low detection accuracy, a lightweight detection m...
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Michal Brzus, Kevin Knoernschild, Jessica C. Sieren and Hans J. Johnson
Translation of basic animal research to find effective methods of diagnosing and treating human neurological disorders requires parallel analysis infrastructures. Small animals such as mice provide exploratory animal disease models. However, many interve...
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Antti Hynninen, Ville Viitanen, Jukka Tanttari, Rhena Klose, Claudio Testa and Jussi Martio
This work focuses on the main issues related to noise measurements in cavitation tunnels. The scope of the paper is to twofold: to obtain a better understanding on the main phenomena underlying experiments and to define consistent cavitation tunnel measu...
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