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Xianghui Deng, Junxin Shi, Xiaolin Li, Rui Wang, Jinzeng Zhang and Xin Yang
Given the complexity and diversity of rock formations, existing constitutive models struggle to accurately portray their mechanical properties, leading to substantial discrepancies between numerical simulation outcomes and reality. This inadequacy fails ...
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Zhe Sun, Haoyang Li, Yan Bao, Xiaolin Meng and Dongliang Zhang
Timely risk information acquisition and diagnosis during foundation pit excavation (FPE) processes are vital for ensuring the safe and effective construction of underground urban infrastructures. Unfortunately, diverse geological and hydrogeological cond...
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Xue Li, Xiaolin Zeng and Linshan Xue
For unmanned aerial vehicles (UAVs), high-precision measurement and high-speed communication are necessary to realize flight and operational missions. In this paper, we propose an integrated communication and measurement system in a Doppler frequency off...
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Kaixuan Qiu, Kaifeng Fan, Xiaolin Chen, Gang Lei, Shiming Wei, Rahul Navik and Jia Li
Rapid technological advances have accelerated offshore and onshore tight oil extraction to meet growing energy demand. Reliable tools to carry out production prediction are essential for development of unconventional reservoirs. The existed tri-linear an...
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Wen Li, Chenying Liu, Qizhi Yang, Yulan You, Zhihang Zhuo and Xiaolin Zuo
Leading agricultural enterprises attracting farmers to participate in vertical collaboration within the industry chain can expedite the process of agricultural industrialization and help achieve rural revitalization. This study focuses on table grape gro...
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Yi Zhang, Jie Ma, Xiaolin Qin, Yongming Li and Zuwei Zhang
Chronic diseases are severe and life-threatening, and their accurate early diagnosis is difficult. Machine-learning-based processes of data collected from the human body using wearable sensors are a valid method currently usable for diagnosis. However, i...
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Ziwen Gao, Zhiyi Li, Jiaying Luo and Xiaolin Li
This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU). The hybrid model can fully extract text features, solve the problem of ...
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Shaoyu Zhang, Junjiang Zhu, Yonggang Jia, Sanzhong Li, Ruixue Chen, Xingquan Chen, Xiaolin Ou and Qianqian Li
The submarine canyons are an important clue to study the evolution process of seafloor geomorphology and they generally indicate the significant linear grooves on the seafloor related to seafloor geodynamic erosion during the evolution of geomorphology. ...
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Jinxiang Zeng, Du Zhang, Zhiyi Li and Xiaolin Li
Aiming at the audio event recognition problem of speech recognition, a decision fusion method based on the Transformer and Causal Dilated Convolutional Network (TCDCN) framework is proposed. This method can adjust the model sound events for a long time a...
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Yanhong Lin, Jing Wang, Xiaolin Li, Yuanzi Zhang and Shiguo Huang
Quantitative Structure?Activity Relationship (QSAR) aims to correlate molecular structure properties with corresponding bioactivity. Chance correlations and multicollinearity are two major problems often encountered when generating QSAR models. Feature s...
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