|
|
|
Shengnan Hao, Haotian Wu, Yanyan Jiang, Zhanlin Ji, Li Zhao, Linyun Liu and Ivan Ganchev
Accurate segmentation of lesions can provide strong evidence for early skin cancer diagnosis by doctors, enabling timely treatment of patients and effectively reducing cancer mortality rates. In recent years, some deep learning models have utilized compl...
ver más
|
|
|
|
|
|
Patrice Koehl, Marc Delarue and Henri Orland
The Gromov-Wasserstein (GW) formalism can be seen as a generalization of the optimal transport (OT) formalism for comparing two distributions associated with different metric spaces. It is a quadratic optimization problem and solving it usually has compu...
ver más
|
|
|
|
|
|
Youqiang Wei, Ruoling Dong, Yixin Zhang and Shuang Liang
This study investigated the influence of instability on the interaction between sub-millimeter liquid droplets and shock waves. Experiments were conducted using 0.42 mm diameter droplets with varying shock wave Mach numbers. The investigation quantified ...
ver más
|
|
|
|
|
|
Ana Goidea, Dimitrios Floudas and David Andréen
Biodesign holds the potential for radically increasing the sustainability of the built environment and our material culture but comes with new challenges. One of these is the bridging of the vast differences of scale between microbiological processes and...
ver más
|
|
|
|
|
|
Youkou Dong, Dingtao Yan and Lan Cui
The discrete element method (DEM), a discontinuum-based method to simulate the interaction between neighbouring particles of granular materials, suffers from intensive computational workload caused by massive particle numbers, irregular particle shapes, ...
ver más
|
|
|