Zobrazeno 1 - 10
of 768
pro vyhledávání: '"machine learning classification"'
Publikováno v:
International Journal of Sustainability in Higher Education, 2023, Vol. 25, Issue 4, pp. 821-837.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSHE-02-2023-0050
Publikováno v:
Healthcare Analytics, Vol 6, Iss , Pp 100350- (2024)
Our emotional, psychological, and social well-being are all parts of our mental health, influencing our thoughts, emotions, and behaviors. Mental health also influences how we respond to stress, interact with others, and make good or bad decisions. T
Externí odkaz:
https://doaj.org/article/71092c5451c743659ec49dbdd2a1b73b
Publikováno v:
Energies, Vol 17, Iss 17, p 4485 (2024)
Lithium-ion batteries are the most widely used as energy storage devices in electric mobility applications. However, due to complex electrochemical processes of battery degradation, it is challenging to predict accurately the battery end-of-life (EOL
Externí odkaz:
https://doaj.org/article/cb22bbd6174147f9be0df91805295c20
Autor:
Soree Hwang, Jongman Kim, Sumin Yang, Hyuk-June Moon, Kyung-Hee Cho, Inchan Youn, Joon-Kyung Sung, Sungmin Han
Publikováno v:
Sensors, Vol 24, Iss 17, p 5571 (2024)
Gait analysis systems are critical for assessing motor function in rehabilitation and elderly care. This study aimed to develop and optimize an abnormal gait classification algorithm considering joint impairments using inertial measurement units (IMU
Externí odkaz:
https://doaj.org/article/9adbb1edd1c34bacb3954d9c197773fc
Publikováno v:
Экономика региона, Vol 20, Iss 1 (2024)
Imposed wide-ranging sanctions require stricter control over the use of budget funds in order to increase the return on investment and minimise the risks of inappropriate spending. Thus, regional development based on the implementation of investment
Externí odkaz:
https://doaj.org/article/3ca3a2e5661a4611864490579c327adc
Publikováno v:
Sensors, Vol 24, Iss 15, p 4769 (2024)
Gait monitoring using hip joint angles offers a promising approach for person identification, leveraging the capabilities of smartphone inertial measurement units (IMUs). This study investigates the use of smartphone IMUs to extract hip joint angles
Externí odkaz:
https://doaj.org/article/5c08203160e347949c1b66f5dd64c63d
Autor:
Dimitrios Morakis, Adam Adamopoulos
Publikováno v:
Algorithms, Vol 17, Iss 6, p 236 (2024)
The adequacy and efficacy of simple and hybrid machine learning and Computational Intelligence algorithms were evaluated for the classification of potential prostate cancer patients in two distinct categories, the high- and the low-risk group for PCa
Externí odkaz:
https://doaj.org/article/eac33e8d56be43f9afd5c07b1a756c40
Autor:
Chen Qu, Paul L. Houston, Qi Yu, Priyanka Pandey, Riccardo Conte, Apurba Nandi, Joel M. Bowman
Publikováno v:
Artificial Intelligence Chemistry, Vol 1, Iss 2, Pp 100025- (2023)
As a follow-up to our recent Communication in the Journal of Chemical Physics [J. Chem. Phys. 159 071101 (2023)], we report and make available the Jupyter Notebook software here. This software performs binary machine learning classification (MLC) wit
Externí odkaz:
https://doaj.org/article/29f27e69f186475c80d07452643f211f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103583- (2023)
Remote sensing is an invaluable tool for monitoring the rapid changes in Arctic vegetation distribution caused by global warming. Although hyperspectral data consisting of contiguous spectral bands enables the quantitative analysis of remote sensing
Externí odkaz:
https://doaj.org/article/418262afa7c8470fb04cf58ff36b341a
Publikováno v:
Powders, Vol 2, Iss 2, Pp 299-322 (2023)
The harsh and hostile internal environment of semi-autogenous (SAG) mills renders real-time monitoring of some critical variables practically unmeasured. Typically, feed size fractions are known to cause mill fluctuations and impede the consistent pr
Externí odkaz:
https://doaj.org/article/a6432784a7ba4e6abefbacdc6e991d87