Zobrazeno 1 - 10
of 52 231
pro vyhledávání: '"Transfer learning"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract Mechanical equipment is a vital foundational support for promoting national economic development and is widely utilized in key sectors such as aerospace, shipping, construction machinery, energy, petrochemicals, and robotics. With the advanc
Externí odkaz:
https://doaj.org/article/5cf417fab61845d5b6f7b9ddea43da9c
Autor:
Li, Youwei, Qu, Jian
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 693-717.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2022-0307
Publikováno v:
工程科学学报, Vol 46, Iss 12, Pp 2238-2245 (2024)
In the dynamic field of the internet in modern life, networks are increasingly vulnerable to a diverse range of cyberattacks. Conventional intrusion detection systems based on machine learning techniques require a large number of samples for training
Externí odkaz:
https://doaj.org/article/24fd5649346c4bf0b6565a7403bd2e24
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 2203-2225 (2024)
Vanaja Thulasimani,1 Kogilavani Shanmugavadivel,1 Jaehyuk Cho,2 Sathishkumar Veerappampalayam Easwaramoorthy3 1Department of Artificial Intelligence, Kongu Engineering College, Perundurai, Tamilnadu, India; 2Department of Software Engineering and Div
Externí odkaz:
https://doaj.org/article/404c213c336f4c5593ebb03be560b639
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist stroke patients activate motor regions in the brain. In particular, the brain regions activated by unilateral upper limb multi-task are more e
Externí odkaz:
https://doaj.org/article/666a4709dad147f7b06fb4385c0363b8
Autor:
A. M. J. MD. Zubair Rahman, R. Mythili, K. Chokkanathan, T. R. Mahesh, K. Vanitha, Temesgen Engida Yimer
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative colitis, polyps, and esophagitis, are crucial for timely treatment. Traditional imaging techniques often rely on manual interpretation, which is subject
Externí odkaz:
https://doaj.org/article/a70de337c7f2453a9a588b0f84ea073a
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background This study aims to explore the accuracy of Convolutional Neural Network (CNN) models in predicting malignancy in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging (DCE-BMRI). Methods A total of 273 benign lesions (benign
Externí odkaz:
https://doaj.org/article/bab2ed0d269745c6ad749b1b9b2a96ba
Autor:
Christopher G Harris
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 249-255 (2024)
As online reviews play a crucial role in purchasing decisions, businesses are increasingly incentivized to generate positive reviews, sometimes resorting to fake reviews or opinion spam. Detecting opinion spam requires well-trained models, but obtain
Externí odkaz:
https://doaj.org/article/10b8b403c781431393b7dbc4b3e719b7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Breast cancer is the second most common type of cancer among women. Prompt detection of breast cancer can impede its advancement to more advanced phases, thereby elevating the probability of favorable treatment consequences. Histopathologica
Externí odkaz:
https://doaj.org/article/73cf08f63c734990a811a0e7b23d403a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Segregation of granular materials is a critical challenge in many industries, often aimed at being controlled or minimised. The discrete element method (DEM) offers valuable insights into this phenomenon. However, calibrating DEM models is a
Externí odkaz:
https://doaj.org/article/7f52aba393a6427fbf3066904c1ee176