|
|
|
Maxim Marchevsky
High-temperature superconductors (HTS) are being increasingly used for magnet applications. One of the known challenges of practical conductors made with high-temperature superconductor materials is a slow normal zone propagation velocity resulting from ...
ver más
|
|
|
|
|
|
Clemens Seibold, Anna Hilsmann and Peter Eisert
Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors have shown remarkable results, b...
ver más
|
|
|
|
|
|
Xu Li and Qiming Sun
It is a common phenomenon in real life that individuals have diverse member relationships in different social clusters, which is called overlap in the science of network. Detecting overlapping components of the community structure in a network has extens...
ver más
|
|
|
|
|
|
Chuanyang Liu, Yiquan Wu, Jingjing Liu, Zuo Sun and Huajie Xu
Insulator fault detection is one of the essential tasks for high-voltage transmission lines? intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) is proposed for detecting insulator faults in aerial images with a com...
ver más
|
|
|
|
|
|
Shuai Teng, Gongfa Chen, Gen Liu, Jianbin Lv and Fangsen Cui
In this paper, a convolutional neural network (CNN) was used to extract the damage features of a steel frame structure. As structural damage could induce changes of the modal parameters of the structure, the convolution operation was used to extract the ...
ver más
|
|
|