Results 1 to 10 of about 369,802 (257)

Digital Audio Tampering Detection Based on Deep Temporal–Spatial Features of Electrical Network Frequency

Information, 2023
In recent years, digital audio tampering detection methods by extracting audio electrical network frequency (ENF) features have been widely applied. However, most digital audio tampering detection methods based on ENF have the problems of focusing on ...
Chunyan Zeng, Shuai Kong, Zhifeng Wang, Kun Li, Yuhao Zhao   +4 more
doaj   +1 more source

CFD and Experimental Validation of a Compact Radial Turbine for High-Altitude UAV Power System

Aerospace
This research presents the design, numerical analysis, and experimental validation of a compact radial turbine intended for mini-turbocharger applications in UAV power systems.
Vivek Jabaraj Joseph, Richie Ma, Yen-Hung Chen, Chia-Lin Wu, Chih-Wei Yeh, Chih-Che Lin, Wu-Yao Wei   +6 more
doaj   +1 more source

A hybrid CNN–BiLSTM–AT model optimized with enhanced whale optimization algorithm for remaining useful life forecasting of fuel cell

AIP Advances
To further improve the remaining useful life forecasting accuracy of fuel cells using classic deep learning models, a convolutional neural network combining bidirectional long and short-term memory networks (BiLSTM) and attention mechanism (AT) is ...
Rui Quan, Jian Zhang, Xuerong Li, Haifeng Guo, Yufang Chang, Hang Wan   +5 more
doaj   +1 more source

Structure optimization of a polygonal automobile exhaust thermoelectric generator considering in-vehicle compatibility

Case Studies in Thermal Engineering
Polygonal heat exchangers (HEXs) are more applicable to automobile exhaust thermoelectric generators (AETEGs) due to their symmetrical structure and low backpressure, but their structural parameters will directly affect the systems' performance.
Rui Quan, Yulong Zhou, Shuyang Yao, Zixiang Feng, Jianglan Liu   +4 more
doaj   +1 more source

A GBRT-Based State-of-Health Estimation Method for Lithium-Ion Batteries

Energies
Lithium-ion batteries are widely applied in transportation, communication, and other fields. Nevertheless, during prolonged cycling operation, internal electrochemical reactions inevitably lead to the degradation of the state-of-health (SOH).
Chun Chang, Yedong He, Yutong Wu, Yuanzhong Xu, Jiuchun Jiang   +4 more
doaj   +1 more source

Sleep Staging Method Based on Multimodal Physiological Signals Using Snake–ACO

Applied Sciences
Non-invasive electrocardiogram (ECG) and respiratory signals are easy to acquire via low-cost sensors, making them promising alternatives for sleep staging. However, existing methods using these signals often yield insufficient accuracy.
Wenjing Chu, Chen Wang, Liuwang Yang, Lin Guo, Chuquan Wu, Binhui Wang, Xiangkui Wan   +6 more
doaj   +1 more source

Improving forecasting accuracy of renewable energy generation via periodicity-aware deep learning framework with Time2Vec

Green Energy and Intelligent Transportation
Accurate forecasting of photovoltaic (PV) and wind power generation is vital for reliable renewable energy operations. However, their differing temporal characteristics, especially in periodicity, pose challenges for unified prediction models. This paper
Hang Wan, Jiasong Wang, Quan Gan, Rui Quan, Yaping Xia, Sara Himmiche, Yufang Chang   +6 more
doaj   +1 more source

Many-objective bi-level energy scheduling method for integrated energy stations based on power allocation strategy

iScience
Summary: The integrated energy station of new energy vehicle hydrogenation/charging/power exchange is proposed, which also includes hydrogen production, hydrogen storage, electricity sales to users and the grid (WPIES).
Xiang Liao, Jun Ma, Bangli Yin, Beibei Qian, Runjie Lei, Fu B, Chaoshun Li   +6 more
doaj   +1 more source

Application of Game Theory in Integrated Energy System Systems: A Review

IEEE Access, 2020
With the rapid development of society, global energy is in short supply. China has put forward an integrated energy system focusing on interconnecting energy resources and harnessing their complementary advantages to address the energy crisis, thus no ...
Jun He, Yi Li, Huangqiang Li, Huamin Tong, Zhijun Yuan, Xiaoling Yang, Wentao Huang   +6 more
doaj   +1 more source

Multiscale Feature Enhancement and Bidirectional Temporal Dependency Networks for Arrhythmia Classification

Biology
Cardiac arrhythmias, especially premature beats and atrial fibrillation, pose substantial clinical risks and detection hurdles. While deep learning has shown promise for automated arrhythmia diagnosis, single-model architectures often lack sufficient ...
Liuwang Yang, Chen Wang, Wenjing Chu, Hongliang Chen, Chuquan Wu, Yunfan Chen, Xiangkui Wan   +6 more
doaj   +1 more source