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Hossein Hassani, Kimia Norouzi, Alireza Ghodsi and Xu Huang
Multitudinous health data are continually being produced as our activities, including medicine, evolve into the digital age where data plays a decisive role. Challenges come along as well, concerning the collection, secure storage, verification and secur...
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Andrea Cassinelli, Andrés Mateo Gabín, Francesco Montomoli, Paolo Adami, Raul Vázquez Díaz and Spencer J. Sherwin
Reynolds-Averaged Navier?Stokes (RANS) methods continue to be the backbone of CFD-based design; however, the recent development of high-order unstructured solvers and meshing algorithms, combined with the lowering cost of HPC infrastructures, has the pot...
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Cailin Li, Fan Lin, Aziguli Aizezi, Zeao Zhang, Yingqiang Song and Na Sun
The development of high nature value farmland (HNVf) can effectively improve the problems of biodiversity reduction, non-point source pollution and carbon loss in intensive farmland. To this end, we developed a set of general indicators based on Landsat ...
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Xiangxiang Zheng, Guojin He, Shanshan Wang, Yi Wang, Guizhou Wang, Zhaoying Yang, Junchuan Yu and Ning Wang
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on b...
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Xiangdian Zhu, Ye Wu, Luo Chen and Ning Jing
The tremendous advance in information technology has promoted the rapid development of location-based services (LBSs), which play an indispensable role in people?s daily lives. Compared with a traditional LBS based on Point-Of-Interest (POI), which is an...
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