Hyperspectral images (HSIs) are always corrupted by complicated forms of noise during the acquisition process, such as Gaussian noise, impulse noise, stripes, deadlines and so on.Specifically, different bands of the practical HSIs generally contain different noises of evidently distinct type and extent.While current HSI restoration methods give les
The consolidated audit report is considered among the most used tools of financial communication.It is a written message that conveys the opinion of the independent auditor on the consolidated financial statements.Theoretically, the same report can reinforce the mechanisms and systems of governance of corporate Books groups.The consolidated audit r
The Internet of Medical Things (IoMT) is a global infrastructure composing of plentiful applications and medical devices that are Lighting interconnected by ICT.In considering the problem of the IoMT industry evaluation, the requisite issue that concerns strong interaction and incertitude.The Maclaurin symmetric mean (MSM), as a resultful informati
Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden.In this paper, we propose an efficient model consisting of a cascade of an encoder, long short-term Clothing memory (LSTM), and attention mechanism networks.The encoder c
Research on cross-linguistic comparisons of the neural correlates of reading has consistently found that the left middle frontal gyrus (MFG) is more involved in Chinese than in English.However, there is a lack of consensus on the interpretation of the language difference.Because this region has been found to be involved in writing, we hypothesize t