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Multiview attention networks for fine-grained watershed categorization via knowledge distillation.
PLoS One
January 2025
College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang, China.
With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. To tackle these challenges, we introduce a multi-view attention mechanism designed for precise watershed classification, leveraging knowledge distillation techniques, abbreviated as MANet-KD.
View Article and Find Full Text PDFArthroscopy is a minimally invasive surgical procedure used to diagnose and treat joint problems. The clinical workflow of arthroscopy typically involves inserting an arthroscope into the joint through a small incision, during which surgeons navigate and operate largely by relying on their visual assessment through the arthroscope. However, the arthroscope's restricted field of view and lack of depth perception pose challenges in navigating complex articular structures and achieving surgical precision during procedures.
View Article and Find Full Text PDFEnhancing covert communication in NOMA systems with joint security and covert design.
PLoS One
January 2025
School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.
The explosion of Internet-of-Thing enables several interconnected devices but also gives rise chance for unauthorized parties to compromise sensitive information through wireless communication systems. Covert communication therefore has emerged as a potential candidate for ensuring data privacy in conjunction with physical layer transmission to render two lines of defense. In this paper, we aim to enhance the individual transmission of nearby users in non-orthogonal multiple access (NOMA) systems under scenarios of an eavesdropper who monitors covert transmission before decoding covert information.
View Article and Find Full Text PDF[ADMET Analysis of Amorphous β-Carotene and Its Usefulness Evaluation].
Yakugaku Zasshi
January 2025
Graduate School of Pharmaceutical Sciences, Osaka University.
In recent years, functional foods have attracted increasing attention due to growing health consciousness. When functional food ingredients are poorly water-soluble, they largely fail to be absorbed due to their low solubility in the digestive tract, limiting their ability to exert their functions. To develop poorly water-soluble compounds into viable functional food ingredients, it is important to increase their gastrointestinal absorption so that they can fully exert their functions, and to ensure their safety and efficacy through ADMET research.
View Article and Find Full Text PDFA data-driven approach to study temporal characteristics of COVID-19 infection and death Time Series for twelve countries across six continents.
BMC Med Res Methodol
January 2025
Systems Engineering & Operations Research, George Mason University, Fairfax, VA, 22030, USA.
Background: In this work, we implement a data-driven approach using an aggregation of several analytical methods to study the characteristics of COVID-19 daily infection and death time series and identify correlations and characteristic trends that can be corroborated to the time evolution of this disease. The datasets cover twelve distinct countries across six continents, from January 22, 2020 till March 1, 2022. This time span is partitioned into three windows: (1) pre-vaccine, (2) post-vaccine and pre-omicron (BA.
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