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Di Wu, Jie Jiang, Fangyi Wang, Yunru Luo, Xiangdong Lei, Chengguang Lai, Xushu Wu and Menghua Xu
With the rapid development of urbanization and a population surge, the drawback of water pollution, especially eutrophication, poses a severe threat to ecosystem as well as human well-being. Timely monitoring the variations of water quality is a preceden...
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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
This paper proposes a new hybrid model to forecast electricity market prices up to four days ahead. The components of the proposed model are combined in two dimensions. First, on the ?vertical? dimension, long short-term memory (LSTM) neural networks and...
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Wenjie Zhang, Liang Zhu, Qifeng Zhuang, Dong Chen and Tao Sun
Nitrogen (N) and phosphorus (P) are primary indicators of soil nutrients in agriculture. Accurate management of these nutrients is essential for ensuring food security. High-resolution, multi-spectral remote sensing images can provide crucial information...
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Zhiguo Liang, Lijun Zhang and Xizhe Wang
Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering fault diagnosis method for steam turbines based on t-distribution stochastic neighborhood ...
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Yao Zou and Changchun Gao
Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic and accurate discrimination of good and bad borrowers. Notably, ensemb...
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Femke M. Janssen, Katja K. H. Aben, Berdine L. Heesterman, Quirinus J. M. Voorham, Paul A. Seegers and Arturo Moncada-Torres
Machine learning (ML) models have proven to be an attractive alternative to traditional statistical methods in oncology. However, they are often regarded as black boxes, hindering their adoption for answering real-life clinical questions. In this paper, ...
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Cheng Zhang, Xiong Zou and Chuan Lin
In order to prevent safety risks, control marine accidents and improve the overall safety of marine navigation, this study established a marine accident prediction model. The influences of management characteristics, environmental characteristics, person...
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Ding Liu, Wuyue Rong, Jin Zhang and Ying-En (Ethan) Ge
In this paper, the nonlinear effects of the built environment on bus?metro-transfer ridership are explored, based on Shanghai metro data, with an extreme gradient-boosting decision-trees (XGBoost) model. It was found that the bus-network density had the ...
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Xiao Wang, Xi Lin, Rong Wang, Kai-Qi Fan, Li-Jun Han and Zhao-Yuan Ding
DNA N4-methylcytosine(4mC) plays an important role in numerous biological functions and is a mechanism of particular epigenetic importance. Therefore, accurate identification of the 4mC sites in DNA sequences is necessary to understand the functional mec...
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Ananta Man Singh Pradhan and Yun-Tae Kim
Landslides impact on human activities and socio-economic development, especially in mountainous areas. This study focuses on the comparison of the prediction capability of advanced machine learning techniques for the rainfall-induced shallow landslide su...
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Zidong Wu, Xiaoli Wang and Baochen Jiang
The algorithm described in this paper can be applied to the real-time fault diagnosis of wind turbine. By using this algorithm, the fault type of wind turbine can be determined according to the real-time monitoring parameters of SCADA system.
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Shangkun Deng, Chenguang Wang, Jie Li, Haoran Yu, Hongyu Tian, Yu Zhang, Yong Cui, Fangjie Ma and Tianxiang Yang
Illegal insider trading identification presents a challenging task that attracts great interest from researchers due to the serious harm of insider trading activities to the investors? confidence and the sustainable development of security markets. In th...
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Jingeun Kim, Hye-Jin Park and Yourim Yoon
Parkinson?s disease is a neurodegenerative disease that is associated with genetic and environmental factors. However, the genes causing this degeneration have not been determined, and no reported cure exists for this disease. Recently, studies have been...
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Jiajun Lyu and Aya Hagishima
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Evert Guliker, Erwin Folmer and Marten van Sinderen
With the rapidly increasing house prices in the Netherlands, there is a growing need for more localised value predictions for mortgage collaterals within the financial sector. Many existing studies focus on modelling house prices for an individual city; ...
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Ying Sun, Lin Lv, Peng Lee and Yunkai Cai
In-cylinder pressure is one of the most important references in the process of diesel engine performance optimization. In order to acquire effective in-cylinder pressure value, many physical tests are required. The cost of physical testing is high; vario...
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Qinghe Zhao, Zifang Zhang, Yuchen Huang and Junlong Fang
Soybeans with insignificant differences in appearance have large differences in their internal physical and chemical components; therefore, follow-up storage, transportation and processing require targeted differential treatment. A fast and effective mac...
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Neda Rostamzadeh, Sheikh S. Abdullah, Kamran Sedig, Amit X. Garg and Eric McArthur
Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and a di...
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Rui Guo, Zhiqian Zhao, Tao Wang, Guangheng Liu, Jingyi Zhao and Dianrong Gao
Under different degradation conditions, the complexity of natural oscillation of the piston pump will change. Given the difference of the characteristic values of the vibration signal under different degradation states, this paper presents a degradation ...
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