Zobrazeno 1 - 10
of 75
pro vyhledávání: '"YANG Pengwei"'
Publikováno v:
发电技术, Vol 45, Iss 2, Pp 189-198 (2024)
Under the background of “dual carbon”, new energy sources have begun to be connected to the grid on a large scale. However, the randomness and volatility of new energy generation significantly impact the power grid, making it urgent to build a ne
Externí odkaz:
https://doaj.org/article/c9ec8fedede9441fa2d638482bf6443f
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 1, Pp 140-143 (2024)
AIM:To investigate the influencing factors of abnormal telangiectasia secondary to diabetic retinopathy(DR).METHODS: Prospective studies. A total of 153 cases(240 eyes)with DR treated in our hospital from January 2021 to January 2023 were selected to
Externí odkaz:
https://doaj.org/article/b9019bd168944e0e825f706c13291a7f
Publikováno v:
电力工程技术, Vol 42, Iss 3, Pp 217-225 (2023)
Energy storage technology is the key technology to building a new power system with new energy as the main body and an important guarantee to maintain the reliable and stable operation of microgrids. Existing theoretical research and projects at home
Externí odkaz:
https://doaj.org/article/7badeb67a5c14226b3389b4212b22d36
We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubiquitous charging of nearby IoT
Externí odkaz:
http://arxiv.org/abs/2305.10238
Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices. Several applications have been proposed to enable peer-to-peer wireless energy charging. However, none of them considered the energy efficiency of the wire
Externí odkaz:
http://arxiv.org/abs/2303.05629
Label noise is a significant obstacle in deep learning model training. It can have a considerable impact on the performance of image classification models, particularly deep neural networks, which are especially susceptible because they have a strong
Externí odkaz:
http://arxiv.org/abs/2211.15279
Non-negative matrix factorisation (NMF) has been extensively applied to the problem of corrupted image data. Standard NMF approach minimises Euclidean distance between data matrix and factorised approximation. The traditional NMF technique is sensiti
Externí odkaz:
http://arxiv.org/abs/2211.04247
Crowdsourcing wireless energy services is a novel convenient alternative to charge IoT devices. We demonstrate peer-to-peer wireless energy services sharing between smartphones over a distance. Our demo leverages (1) a service-based technique to shar
Externí odkaz:
http://arxiv.org/abs/2211.12464
Autor:
Ma, Shuangchen, Wu, Kai, Fan, Shuaijun, Yang, Pengwei, Chen, Liutong, Ma, Jingxiang, Yang, Lijuan, Zhu, Hongtao, Ma, Xiaoying
Publikováno v:
In Separation and Purification Technology 3 December 2024 349
Publikováno v:
In Energy 30 November 2024 310