Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Danny, Chen"'
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1577 (2024)
As an essential component of the global economic crop, cotton is highly susceptible to the impact of diseases on its yield and quality. In recent years, artificial intelligence technology has been widely used in cotton crop disease recognition, but i
Externí odkaz:
https://doaj.org/article/aac1021da524485795bacd55dda5d8ad
Publikováno v:
Symmetry, Vol 16, Iss 6, p 652 (2024)
When agricultural experts explore the use of artificial intelligence technology to identify and detect crop diseases, they mainly focus on the research of a stable environment, but ignore the problem of noise in the process of image acquisition in re
Externí odkaz:
https://doaj.org/article/c54d4c9cd42b432098e5dde77b9dfb56
Publikováno v:
Entropy, Vol 26, Iss 5, p 431 (2024)
Traditional methods for pest recognition have certain limitations in addressing the challenges posed by diverse pest species, varying sizes, diverse morphologies, and complex field backgrounds, resulting in a lower recognition accuracy. To overcome t
Externí odkaz:
https://doaj.org/article/5112052705464515bc6d6cc228874b47
Publikováno v:
Symmetry, Vol 16, Iss 4, p 450 (2024)
Weed detection plays a crucial role in enhancing cotton agricultural productivity. However, the detection process is subject to challenges such as target scale diversity and loss of leaf symmetry due to leaf shading. Hence, this research presents an
Externí odkaz:
https://doaj.org/article/7891685ba76d404bb3bdd0550e7bc90f
Publikováno v:
Entropy, Vol 25, Iss 7, p 1064 (2023)
Micro-expressions are the small, brief facial expression changes that humans momentarily show during emotional experiences, and their data annotation is complicated, which leads to the scarcity of micro-expression data. To extract salient and disting
Externí odkaz:
https://doaj.org/article/46ffb9b6940a45409994dfda837ffe97
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 8, Pp 428-434 (2020)
The human radiolabeled absorption, distribution, metabolism, and excretion (ADME) study offers a quantitative and comprehensive overall picture of the disposition of a drug, including excretion pattern and metabolite profiles in circulation and excre
Externí odkaz:
https://doaj.org/article/0233e079d5dd48d799a3368daefcf5a8
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 1, Pp 60-69 (2020)
PF‐05251749 is a dual inhibitor of casein kinase 1 δ/ε, key regulators of circadian rhythm. As a result of its mechanism of action, PF‐05251749 may also change the heart rate corrected QT (QTc) circadian rhythm, which may confound detection of
Externí odkaz:
https://doaj.org/article/cd7b2b302016406eb7aaa99959a23eec
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor various ophthalmic diseases, but also timely reflect systemic diseases such as diabetes and blood diseases. Therefore, the study on segmentation of retin
Externí odkaz:
https://doaj.org/article/33da455b2deb4fadb8f2e985664b1053
Autor:
Carol S. Redstone, Maryam Zadeh, Mary-Agnes Wilson, Samantha McLachlan, Danny Chen, Maya Sinno, Safiyya Khamis, Kassia Malis, Flavia Lui, Steven Forani, Christina Scerbo, Yuka Hutton, Latha Jacob, Ahmed Taher
Publikováno v:
Journal of Patient Safety. 19:173-179
Publikováno v:
Cells, Vol 11, Iss 3, p 341 (2022)
Cilia are microtubule-based hair-like organelles on the cell surface. Cilia have been implicated in various biological processes ranging from mechanosensation to fluid movement. Ciliary dysfunction leads to a plethora of human diseases, known as cili
Externí odkaz:
https://doaj.org/article/0d27bcd8eac94ed980348e14014a46c9