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Kun Zhang, Pengbo Chang, Jianxi Ren, Zheng Liu and Ke Wang
The fractured rock mass in the western cold region is affected by freezing and thawing disasters and is prone to local damage and fracture along the fissures? ends. The fatigue damage induced by repeated frost heave and traffic loads seriously endangers ...
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Zimo Wang, Mengmeng Yin, Jing Han, Xuehua Wang, Jingshu Chang, Zhonghai Ren and Lina Wang
The ZRT/IRT-like proteins (ZIPs) play critical roles in the absorption, transport, and intracellular balance of metal ions essential for various physiological processes in plants. However, little is known about the pan-genomic characteristics and propert...
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Haoling Ren, Jiangdong Wu, Tianliang Lin, Yu Yao and Chang Liu
Intelligent agricultural machinery refers to machinery that can independently complete tasks in the field, which has great significance for the transformation of agricultural modernization. However, most of the existing research on intelligent agricultur...
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Feixiang Ren, Jiwang Du and Daofang Chang
To address the challenge of accurate lifespan prediction for bearings in different operating conditions within ship propulsion shaft systems, a two-stage prediction model based on an enhanced domain adversarial neural network (DANN) is proposed. Firstly,...
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Rong Yang, Jianxi Ren, Xiaoke Chang and Kun Yang
The distribution of leachate directly impacts the safety and stability of the landfill, so it is important to research the distribution of seepage characteristics and migration patterns of leachate. The study aims to investigate the impact of heterogeneo...
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Qunfeng Liu, Guangdi Dai, Chang Wang, Xing Wu and Xiang Ren
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Shiwei Shao, Mengting Yu, Yimin Huang, Yiheng Wang, Jing Tian and Chang Ren
In this study, we investigate the urban landscape patterns in Wuhan, China based on the land use data in the vector format. Using the approach of landscape metric analysis, we calculate forty-four vector-based landscape metrics and then reduce redundant ...
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Chang Ren, Luliang Tang, Jed Long, Zihan Kan and Xue Yang
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at ...
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Yi-Ren Wang, Yun-Shuo Chang
Pág. 270 - 291
This work investigates the primary resonance and internal resonance of a double-section beam with cubic nonlinearities. This model can be applied in a wide range of engineering problems, such as rocket and missile structures. Even space technology has be...
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Kun-Yi Chen, Chi-Yu Chang, Zhi-Ren Tsai, Chun-Ting Lee, Zon-Yin Shae
Pág. 199 - 212
To solve tea image classification problems, this study focuses on triplet loss convolutional neural network to classify six high-mountain oolong tea classes. In the experiment, instead of using traditional deep learning training approach for local featur...
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Wanching Chang, Ren-Fang Chao, Grace Chien
Pág. 339 - 348
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Haojie Ren, Mengmeng Zhang, Jingyun Cheng, Peimin Cao, Yuwang Xu, Shixiao Fu and Chang Liu
Different from the previous studies of the vortex-induced vibration (VIV) dominated by first mode of flexible pipe in an oscillatory flow, the features of a higher mode dominated are experimentally investigated in the ocean basin. The flexible pipe is fo...
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Gui-Rong You, Yeou-Ren Shiue, Wei-Chang Yeh, Xi-Li Chen and Chih-Ming Chen
In ensemble learning, accuracy and diversity are the main factors affecting its performance. In previous studies, diversity was regarded only as a regularization term, which does not sufficiently indicate that diversity should implicitly be treated as an...
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Haijiang Li, Hongxiang Ren, Xingfeng Duan and Chang Wang
It is a challenging work to simulate wind and waves in virtual scenes of marine simulators. In this paper, a divergence-free position based fluid (DFPBF) framework is introduced for ocean wave modeling in marine simulators. We introduce a set of constant...
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Ren-Hung Hwang, Min-Chun Peng, Van-Linh Nguyen and Yu-Lun Chang
Recently, deep learning has been successfully applied to network security assessments and intrusion detection systems (IDSs) with various breakthroughs such as using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) to classify malici...
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Changfang Guo, Zhen Yang, Shuai Chang, Ting Ren and Wenli Yao
Precise prediction of coal thickness is of the utmost importance in realizing intelligent and unmanned mining. As the channel wave is characterized by an easily recognizable waveform, a long propagation distance, and strong energy, it is widely used for ...
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Tianfu Wang, Chang Ren, Yun Luo and Jing Tian
Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spo...
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Ren-Jung Chang and Yu-Cheng Chien
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Ren-Hung Hwang, Yu-Ling Hsueh and Yu-Ting Chang
Term extraction is an important task that automatically extracts relative terms from the texts in a given domain. A significant number of web applications need to model information for specific topics. In particular, we have explored a Taiwan government ...
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Ren-Hung Hwang, Yu-Ling Hsueh and Yu-Ting Chang
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