Zobrazeno 1 - 10
of 160
pro vyhledávání: '"feature concatenation"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Kidney diseases pose a significant global health challenge, requiring precise diagnostic tools to improve patient outcomes. This study addresses this need by investigating three main categories of renal diseases: kidney stones, cysts, and tu
Externí odkaz:
https://doaj.org/article/d2d1906b8e4a4cb9bc0489c07c532748
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Over recent years, researchers and practitioners have encountered massive and continuous improvements in the computational resources available for their use. This allowed the use of resource-hungry Machine learning (ML) algorithms to become
Externí odkaz:
https://doaj.org/article/40261d3c75284847870695a2104dd88f
Autor:
H. Mary Shyni, Chitra E
Publikováno v:
Automatika, Vol 65, Iss 2, Pp 641-651 (2024)
Pulmonary diseases impact lung functionality and can cause health complications. X-ray imaging is an initial diagnostic approach for evaluating lung conditions. Manual segmentation of lung infections from X-rays is time-consuming and subjective. Auto
Externí odkaz:
https://doaj.org/article/7c69515dd617428e8ce6e6661831286d
Publikováno v:
IEEE Access, Vol 11, Pp 113114-113133 (2023)
Obstructive Sleep Apnea (OSA) is the cessation in breathing that must be identified as early as possible to save the patient’s life. Apart from physical diagnosis, a deep learning model can serve the purpose of detecting the apnea swiftly. The dete
Externí odkaz:
https://doaj.org/article/b22f28d731aa4fdaaa710270f114b1f2
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Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
An improved YOLOv5s model was proposed and validated on a new fruit dataset to solve the real-time detection task in a complex environment. With the incorporation of feature concatenation and an attention mechanism into the original YOLOv5s network,
Externí odkaz:
https://doaj.org/article/22d0ad82ec6247858b870c8b1e448f3b
Autor:
Ayesha Sadiq, Sajid Gul Khawaja, Muhammad Usman Akram, Norah Saleh Alghamdi, Aimal Khan, Arsalan Shaukat
Publikováno v:
IEEE Access, Vol 10, Pp 40506-40516 (2022)
The way of living of many individuals around the world endures because of mental and physical disability associated with the movement of limbs. The usage of the assistive technology and systems will enhance the quality of affected people. In this sit
Externí odkaz:
https://doaj.org/article/a66accd59c324adcb84af7de2b0ce648
Publikováno v:
Informatics in Medicine Unlocked, Vol 39, Iss , Pp 101245- (2023)
Coffee is a significant global agricultural commodity, and improving its production and maintaining quality is crucial. However, coffee plants are susceptible to various diseases that can lower production and quality. Early detection and identificati
Externí odkaz:
https://doaj.org/article/4e4bd9c06d154a148076a51447fe77b6