Yang Yang

TL;DR: In this paper, the authors proposed a method to reduce the pressure pulsation and increase the efficiency of electrical submersible pumps (ESP) to lift oil or water from the ground or deep-sea to the surface.

TL;DR: A data-classification technique is introduced to classify antenna geometrical variables into the proper categories and the validity and efficiency of this proposed model are confirmed with an optimization design of an ultrawide band (UWB) antenna examnle.

TL;DR: A novel framework to identify the propagation of popular videos from its major hosting site's perspective, and to estimate its influence is introduced, and a novel learning method called Noise-reductive Local-and-Global Learning (NLGL) is devised to effectively estimate a video's origin and influence.

TL;DR: Zhang et al. as discussed by the authors proposed a GAN-style approach, where a generator is designed to produce uncertain or conflicting voices, further polarizing the original conversational threads to boost the discriminator.

TL;DR: In this paper, an aerial image-based method for recognizing a bird nest on a power transmission line was proposed, which consists of several steps of manufacturing a data set; training a neural network; testing a recognition model; classifying to-be-tested aerial images by using the network 1 so as to obtain images with bird nests therein and images without bird nests, placing the images respectively in a set 1 and a set 2, classifying all images in the set 2 by using network 2, and placing the above images with birds nests therein into the set 1 again Finally,