Zobrazeno 1 - 10
of 837
pro vyhledávání: '"deep learning network"'
Autor:
Xi Zhao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The prediction of photovoltaic (PV) system performance has been intensively studied as it plays an important role in the context of sustainability and renewable energy generation. In this paper, a digital twin (DT) model based on a domain-ma
Externí odkaz:
https://doaj.org/article/cb7acf18c84a4096b421a9aa7343eef0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Stroke is one of the major causes of death worldwide, and is closely associated with atherosclerosis of the carotid artery. Panoramic radiographs (PRs) are routinely used in dental practice, and can be used to visualize carotid artery calcif
Externí odkaz:
https://doaj.org/article/7e36df7f5d7f4208baaac3228cce7658
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 5, Pp 709-713 (2024)
Objective To investigate the feasibility of a deep learning model for the fully automatic classification of disc degeneration based on lumbar structures on sagittal T2WI images. Methods The lumbar T2WI image data of 94 patients who underwent lumbar s
Externí odkaz:
https://doaj.org/article/6539d27eec984b25b1f7ccc904f55116
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 9 (2024)
A cataract is an eye disease that causes visual distortion and the late stage of this disease can lead to blindness. It is considered a silent disease that can occur without the appearance of symptoms. Therefore, the most effective way to detect cata
Externí odkaz:
https://doaj.org/article/23ec79a3c17a43bba4ad84ec5b892c1a
Autor:
Hang Qu, Hui Tang, Dong-yang Gao, Yong-xin Li, Yi Zhao, Qi-qi Ban, Yu-Chen Chen, Lu Lu, Wei Wang
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
PurposeRapid diagnosis of acute ischemic stroke (AIS) is critical to achieve positive outcomes and prognosis. This study aimed to construct a model to automatically identify the infarct core based on non-contrast-enhanced CT images, especially for sm
Externí odkaz:
https://doaj.org/article/d7be600a0a154e2584446dc9888c6aa1
Autor:
Jianhua Guo, Mingdong Han, Chunlin Xu, Peng Liang, Shaopeng Liu, Zhenghong Xiao, Guozhi Zhan, Hao Yang
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34394- (2024)
Short-term energy-consumption prediction is the basis of anomaly detection, real-time scheduling, and energy-saving control in manufacturing systems. Most existing methods focus on single-node energy-consumption prediction and suffer from difficult p
Externí odkaz:
https://doaj.org/article/628441f1f7b54947ba243649376d7100
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103938- (2024)
Deep learning, which has exhibited considerable potential and effectiveness in forest resource assessment, is vital for comprehending and managing forest resources and ecosystems. However, extensive assessment of forest resources is highly challengin
Externí odkaz:
https://doaj.org/article/5968eaf74db949c0b1dec1ace70cd59d
Autor:
Kalyani Chaudhari, Shruti Oza
Publikováno v:
Journal of Applied Pharmaceutical Research, Vol 12, Iss 1, Pp 59-64 (2024)
Background: According to ongoing research, assessing nuchal translucency (NT) in ultrasound pictures can help to identify fetal development that deviates from the norm. The chance of chromosomal abnormalities in a newborn is predicted by the nuchal t
Externí odkaz:
https://doaj.org/article/3636a63816254aed9eaa834756f358fe
Autor:
Sagnik de, Anurag Singh, Vivek Tiwari, Harshita Patel, G. N. Vivekananda, Dharmendra Singh Rajput
Publikováno v:
IEEE Access, Vol 12, Pp 173109-173126 (2024)
Major depressive disorder (MDD) is a mental ailment marked by a loss of interest in activities, persistent depression, and hopelessness. MDD has been on the rise in society in recent decades for varied reasons and has spurred suicidal tendencies amon
Externí odkaz:
https://doaj.org/article/133f60077abc4d82bb7a980f6f247e1f
Publikováno v:
IEEE Access, Vol 12, Pp 161084-161095 (2024)
The application of gesture recognition technology in human-computer interaction fields is widespread. However, issues such as the size of the model parameter space and the occurrence of false positives in real-world interactive scenarios persist. Thi
Externí odkaz:
https://doaj.org/article/768d908341c643c6b2da2c3093a9b935