|
|
|
Zhendong He, Wenbin Yang, Yanjie Liu, Anping Zheng, Jie Liu, Taishan Lou and Jie Zhang
Ensuring the safety of transmission lines necessitates effective insulator defect detection. Traditional methods often need more efficiency and accuracy, particularly for tiny defects. This paper proposes an innovative insulator defect recognition method...
ver más
|
|
|
|
|
|
|
Omar Serghini, Hayat Semlali, Asmaa Maali, Abdelilah Ghammaz and Salvatore Serrano
Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users. The application of machine learning tec...
ver más
|
|
|
|
|
|
|
Angeliki Bicaku, Maria Sapounaki, Athanasios Kakarountas and Sotiris K. Tasoulis
Throughout the last decades, neuromorphic circuits have incited the interest of scientists, as they are potentially a powerful tool for the treatment of neurological diseases. To this end, it is essential to consider the biological principles of the CNS ...
ver más
|
|
|
|
|
|
|
Luis Guillermo García Ordóñez, Maria Liz Crespo, Sergio Carrato, Andres Cicuttin, Werner Oswaldo Florian Samayoa, Daniele D?Ago and Stefano Levorato
Data logging and complex algorithm implementations acting on multichannel systems with independent devices require the use of time synchronization. In the case of Gas Electron Multipliers (GEM) and Thick-GEM (THGEM) detectors, the biasing potential can b...
ver más
|
|
|
|
|
|
|
Apostolos Ampountolas
Over the past years, cryptocurrencies have drawn substantial attention from the media while attracting many investors. Since then, cryptocurrency prices have experienced high fluctuations. In this paper, we forecast the high-frequency 1 min volatility of...
ver más
|
|
|
|
|
|
|
Yang Yu, Huiping Xu and Changwei Xu
Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data ...
ver más
|
|
|
|
|
|
|
Xin Song, Siyang Xu, Zhigang Xie and Xiuwei Han
In this paper, we propose a joint power allocation, time switching (TS) factor and relay selection scheme for an energy harvesting two-way relaying communication network (TWRN), where two transceivers exchange information with the help of a wireless-powe...
ver más
|
|
|
|
|
|
|
Zhen-Zhou Sun, Chun-Wei Bi, Sheng-Xiao Zhao, Guo-Hai Dong and Hua-Feng Yu
Offshore wind power is gradually developing to more open sea. Considering the economy of power transmission, it will be an inevitable choice to adopt the extra-large electrical platform. The offshore electrical platform is easily affected by sudden extre...
ver más
|
|
|
|
|
|
|
Ye Ma, Qing Chang, Huanzhang Lu and Junliang Liu
Recurrent neural networks (RNNs) remain challenging, and there is still a lack of long-term memory or learning ability in sequential data classification and prediction. In this paper, we propose a flexible recurrent model, BIdirectional COnvolutional RaN...
ver más
|
|
|
|