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Hui-Jun Kim, Jung-Soon Kim and Sung-Hee Kim
The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector?s competency, which can have consequences for rapid-onset cognitive-related diseases. To solve this pro...
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Fansheng Zhang, Lianglin Dong, Hongbo Wang, Ke Zhong, Peiyuan Zhang and Jinyan Jiang
During the construction of underground engineering, the prediction of groundwater distribution and rock body permeability is essential for evaluating the safety of the project and guiding subsequent design and construction. This article proposes an objec...
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Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo...
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Kichan Sim and Kangsu Lee
A digital twin is a virtual model of a real-world structure (such as a device or equipment) which supports various problems or operations that occur throughout the life cycle of the structure through linkage with the actual structure. Digital twins have ...
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Dongyang Yu, Feihu Peng, Zhihao Zeng, Minghua Zhang, Wenwu Yang, Ying Zang, Jianfei He, Yichen Huang, Yuguang Wu, Wenneng Zhong, Ziyou Guo, Jiawen Liu, Guanjiong Li, Xingmou Qin and Zaiman Wang
This investigation considered the effects of both internal and external excitation vibrations on the efficacy of the seed dispenser in a rice precision hole seeder. Through comprehensive field tests, we analyzed vibrational characteristics during direct ...
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Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo...
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Rong Wang, Xinyang Zhou, Yi Liu, Dongqi Liu, Yu Lu and Miao Su
To ensure the safety and durability of concrete structures, timely detection and classification of concrete cracks using a low-cost and high-efficiency method is necessary. In this study, a concrete surface crack damage detection method based on the ResN...
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Noelia García, Miguel Gómez-Polo, Miriam Fernández, José Luis Antonaya-Martín, Rocío Ortega, Cristina Gómez-Polo, Marta Revilla-León and Rocío Cascos
Background: With CAD-CAM, dental models are often fabricated by additive manufacturing (AM) methods. Dental models for implant prostheses involve the manual placement of analogs, which could affect their final fit. Therefore, in this experimental in vitr...
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Khaqan Baluch, Heon-Joon Park, Kyuchan Ji and Sher Q. Baluch
Whilst numerical modelling is commonly used for simulation to check the design of water conveyance, sluicing and spillway structure design, the numerical modelling has rarely been compared with the physical model tests. The objective of this research pre...
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Jiayu Huang, Feng Diao, Shifeng Ding, Sen Han, Pentti Kujala and Li Zhou
In previous studies of ship?ice interactions, most studies focused on ship?level ice interactions, overlooking potential rafted ice conditions in extreme ice conditions. The purpose of this study is to develop a numerical model for predicting ship resist...
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