Abstract: In recent years, deep learning-based methods have attracted considerable attention in hyperspectral image (HSI) hyperspectral unmixing (HU) tasks due to their robust feature extraction and ...

Android has long been focused on running mobile apps, but in recent years, features aimed at developers and power users have begun pushing its boundaries. One exciting frontier: running full Linux ...

Abstract: Effective mitigation of atmospheric phase screen (APS) is crucial for synthetic aperture radar (SAR) interferometry in coastal regions. However, existing methods suffer from various ...

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...

Large Language Models (LLMs) significantly benefit from attention mechanisms, enabling the effective retrieval of contextual information. Nevertheless, traditional attention methods primarily depend ...

ABSTRACT: Copulas are multivariate distribution functions with uniform marginal distributions. In this paper, we study a class of copulas called radial copulas, which is derived from residual ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...

ABSTRACT: This research work is an extension of the study carried out on the physico-mechanical characterisation of aggregates used in the manufacture of standard concretes. The aim is to test the ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

With this notice, Frontiers states its awareness of concerns regarding the content of the article “Short-time photovoltaic output prediction method based on depthwise separable convolution visual ...