Since the beginning of the COVID-19 pandemic, the demand for unmanned aerial vehicles
(UAVs) has surged owing to an increasing requirement of remote, noncontact, and …

In this letter, a novel window for improving the resolution of the images is proposed. This
window uses a modified Ricker wavelet function to minimize the power leakage factor, main …

Accurate as well as an efficient Spectrum Estimation (SE) is the fundamental requirement of
any practical wireless communication system for seamless connectivity. In this work an …

Realizing coherent sampling is one of the major bottlenecks in high-precision ADC spectrum
testing. In spectrum analysis, if coherent sampling is not implemented, spectral leakage will …

The automatic detection of a heartbeat is commonly performed by detecting the QRS
complex in the electrocardiogram (ECG), however, various noise sources and missing data …

稀有时间序列分类(RTSC) 在天文观测等领域有广泛应用. 针对目前稀有时间序列方法处理大
规模数据集存在准确率低和时间成本高的问题, 以天文观测中的短时标稀有天体光变事件 …

At present, Feature Selective Validation (FSV) is the most common data verification method
of computational electromagnetics, and its effectiveness has been verified since its release …

The World is developing at a tremendous pace which has been catapulted by large-scale
technological advancements. Building mega structures has never been easier and modes of …

En los últimos años, el campo de la inteligencia artificial ha experimentado un crecimiento
significativo, impulsado por los avances en el campo del deep learning. Esta evolución ha …

Rare time series classification (RTSC) is widely used in astronomical observation and other
fields. Aiming at the problems of low accuracy and high time cost in the current rare time …