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Ling Zhou, Peng Yan, Yanjun Zhang, Honglei Lei, Shuren Hao, Yueqiang Ma and Shaoyou Sun
The optimization of the production scheme for enhanced geothermal systems (EGS) in geothermal fields is crucial for enhancing heat production efficiency and prolonging the lifespan of thermal reservoirs. In this study, the 4100?4300 m granite diorite str...
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Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Mengyu Sun, Jianxin Liu, Jian Ou, Rong Liu and Ling Zhu
Electrical resistivity tomography is a non-destructive and efficient geophysical exploration method that can effectively reveal the geological structure and sliding surface characteristics inside landslide bodies. This is crucial for analyzing the stabil...
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Chengfei Tao, Rongyue Sun, Yichen Wang, Yang Gao, Lin Meng, Liangbao Jiao, Shaohua Liang and Ling Chen
This study experimentally explored the effects of equivalence ratio settings on ethanol fuel combustion oscillations with a laboratory-scale combustor. A contrary flame equivalence ratio adjusting trend was selected to investigate the dynamic characteris...
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Ling Qu, Shuangxi Guo, Shengqi Zhou, Yuanzheng Lu, Mingquan Zhu, Xianrong Cen, Di Li, Wei Zhou, Tao Xu, Miao Sun and Rui Zeng
The aim of this study is to better understand diffusive convection (DC) and its role in the upper ocean dynamic environment and sea ice melting in the Canada Basin. Based on a moored dataset with 6737 profiles collected from August 2003 to August 2011 in...
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Duo Sun, Lei Zhang, Kai Jin, Jiasheng Ling and Xiaoyuan Zheng
Aiming at the imbalance of industrial control system data and the poor detection effect of industrial control intrusion detection systems on network attack traffic problems, we propose an ETM-TBD model based on hybrid machine learning and neural network ...
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Ruoan Wang, Jun Ren, Hanru Ren, Ling Tao, Chaohui Wu, Xinni Sun and Mairong Lv
Three types of modified sludge biochar were produced for the adsorption of copper in aqueous solutions via the calcium-based magnetic (CaCO3, Fen+) treatment (CA?BC), nanozero-valent iron (nZVI) treatment (nZVI?BC), and iron (Fe3+) treatment (FA?BC) of r...
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Mei-Yan Zhuo, Jinn-Chyi Chen, Ren-Ling Zhang, Yan-Kun Zhan and Wen-Sun Huang
In this study, a seepage prediction model was established for roller-compacted concrete dams using support vector regression (SVR) with hybrid parameter optimization (HPO). The model includes data processing via HPO and machine learning through SVR. HPO ...
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Ying-Ying Jiang, Zhong-Xiu Sun, Ruo-Meng Wang, Hong-Ling Wang and Jia-Qing Wang
The Quaternary red soil widely distributed in China is an important arable land resource. A quantitative understanding of nutrient changes of Quaternary red soils under different land-use patterns is the necessary premise for effective regulation, manage...
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