While deep learning (DL) based approaches13 have the ability to learn discriminative features, the heterogeneous appearance of nuclei in different cohorts and often the availability of only a small number of representative training samples may hinder these supervised learning based approaches. Thus, it...
(F), \label {eq: atention-transformer} (2) where F denotes the deep feature extracted from the input image I; ⊛ indicates the matrix multiplication; Q(·), K(·), and V(·) denote the operations that extract the matrices for the query, key, and value; ...
Numerous dimples with large size and deep depth can be observed on the as-casted rod fracture, presenting apparent necking phenomenon, which belongs to a typical ductile fracture. With the increase of the drawing strain, the necking phenomenon of the fracture becomes weaker, especially when the ...
We employ the deep neural network on the orig- inal images to extract features of two views. 4) NUS-WIDE4 [4] is a web image dataset created by Lab for Media Search in National University of Singapore. Six types of features are concerned, including 4-D color histogram, 144-...
This is also in agreement with the higher ductility obtained in annealed samples, which is manifested in the fractographs through deep dimples. Naghizadeh and Mirzadeh [43] have also seen that on the fracture surfaces of AISI 304 stainless steel samples, size and depth of dimples increase with...
BrokerTec provides its users with access to a deep pool of liquidity that includes major participants in both the U.S. and European fixed income marketplaces. BrokerTec remains neutral on all trades while keeping the identities of all its participants confidential, thereby providing users a platform...