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Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f...
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Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado
This study shows the significant features predicting graduates? job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate outcomes was ...
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Ben Liu, Yunfei Xu, Sizhen Guo, Mingming Yu, Ziyue Lin and Hong Yang
Although many studies have explored the relationship between the built environment and metro ridership, the literature offers limited evidence on the nonlinear effect of origin and destination built environments on station-to-station ridership. Using dat...
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Shutian Deng, Gang Wang, Hongjun Wang and Fuliang Chang
Spain possesses a vast number of poems. Most have features that mean they present significantly different styles. A superficial reading of these poems may confuse readers due to their complexity. Therefore, it is of vital importance to classify the style...
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Zaheed Gaffoor, Kevin Pietersen, Nebo Jovanovic, Antoine Bagula, Thokozani Kanyerere, Olasupo Ajayi and Gift Wanangwa
Machine learning and deep learning have demonstrated usefulness in modelling various groundwater phenomena. However, these techniques require large amounts of data to develop reliable models. In the Southern African Development Community, groundwater dat...
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Evgenia Novikova, Elena Doynikova and Sergey Golubev
One of the challenges in the Internet of Things systems is the security of the critical data, for example, data used for intrusion detection. The paper research construction of an intrusion detection system that ensures the confidentiality of critical da...
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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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S. V. Hayrapetyan,K.S. Zaytsev
Pág. 30 - 38
The purpose of this paper is to describe the developed method of detecting network covert timing channels, based on machine learning algorithms. Detection of network covert channels is an actual problem, since the latter can be used to leak confidential ...
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Steve Pahno, Jidong J. Yang and S. Sonny Kim
Modern machine learning methods, such as tree ensembles, have recently become extremely popular due to their versatility and scalability in handling heterogeneous data and have been successfully applied across a wide range of domains. In this study, two ...
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Annan Yang, Chunmei Wang, Guowei Pang, Yongqing Long, Lei Wang, Richard M. Cruse and Qinke Yang
Gully erosion is the most severe type of water erosion and is a major land degradation process. Gully erosion susceptibility mapping (GESM)?s efficiency and interpretability remains a challenge, especially in complex terrain areas. In this study, a WoE-M...
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