|
|
|
|
|
Yan Chen and Chunchun Hu
Accurate prediction of fine particulate matter (PM2.5) concentration is crucial for improving environmental conditions and effectively controlling air pollution. However, some existing studies could ignore the nonlinearity and spatial correlation of time...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zepeng Wang, Yuan Chen and Juwei Zhang
In practical applications, the accuracy of domain terminology translation is an important criterion for the performance evaluation of domain machine translation models. Aiming at the problem of phrase mismatch and improper translation caused by word-by-w...
ver más
|
|
|
|
|
|
|
|
|
|
|
Azizi Seixas, Shannique Richards, Jesse Q. Moore, Chigozirim Izeogu, Laronda A. Hollimon, Peng Jin and Girardin Jean-Louis
The primary objective of this randomized trial was to test the effectiveness of the PREDHiCT digital application, which provides educational and supportive navigation to increase willingness to participate in a future clinical trial. The second objective...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenbo Shi, Heng Zhang and Yuanxiang Li
The slots on a blade tip can effectively suppress the tip vortices by diffusing the core structure of a vortex and thus mitigate the adverse impacts of vortex interactions. In this paper, the effect of a slotted tip on vortex diffusion in the hovering st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Claudio Szwarcfiter, Yale T. Herer and Avraham Shtub
Industrial projects are plagued by uncertainties, often resulting in both time and cost overruns. This research introduces an innovative approach, employing Reinforcement Learning (RL), to address three distinct project management challenges within a set...
ver más
|
|
|
|
|
|
|
|
|
|
|
Agostino Giorgio, Cataldo Guaragnella and Maria Rizzi
The high mortality rate associated with cardiac abnormalities highlights the need of accurately detecting heart disorders in the early stage so to avoid severe health consequence for patients. Health trackers have become popular in the form of wearable d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chul-Gyum Kim, Jeongwoo Lee, Jeong Eun Lee and Hyeonjun Kim
This study examines the long-term climate predictability in the Seomjin River basin using statistical methods, and explores the effects of incorporating the duration of climate indices as predictors. A multiple linear regression model is employed, utiliz...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheng Li, Xueyuan Huang, Liupeng Gong, Ke Yuan and Chun Liu
Next Point-of-Interest (POI) recommendation has shown great value for both users and providers in location-based services. Existing methods mainly rely on partial information in users? check-in sequences, and are brittle to users with few interactions. M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Karlo Kevic, Ana Kuve?dic Divjak and Frederika Welle Donker
The 2019 European Open Data Directive identifies geospatial data as data that could have a major impact on human activities (high-value data, HVD) and advocates its provision as open data (OD), i.e., without barriers to access and re-use. Although Croati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea...
ver más
|
|
|
|
|
|