Zobrazeno 1 - 10
of 11 533
pro vyhledávání: '"Ensemble deep learning"'
Autor:
Zhang, Chao1 (AUTHOR), Jing, Yanzhen1 (AUTHOR), Zhou, Guanghui1 (AUTHOR) ghzhou@mail.xjtu.edu.cn, Yan, Hairui1 (AUTHOR), Chang, Fengtian2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Dec2024, p1-17. 17p. 11 Illustrations.
Publikováno v:
Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-14. 14p.
Early detection of faults in induction motors is crucial for ensuring uninterrupted operations in industrial settings. Among the various fault types encountered in induction motors, bearing, rotor, and stator faults are the most prevalent. This paper
Externí odkaz:
http://arxiv.org/abs/2412.18249
Blood pressure (BP) measurement plays an essential role in assessing health on a daily basis. Remote photoplethysmography (rPPG), which extracts pulse waves from camera-captured face videos, has the potential to easily measure BP for daily health mon
Externí odkaz:
http://arxiv.org/abs/2412.10679
Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning
Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cognitive impairment and dementia. Accurate and timely diagnosis is essential for effective treatment and management of this disease. In this study, we pro
Externí odkaz:
http://arxiv.org/abs/2412.05666
This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on the German day-ahead wholesale electricity market. Our paper also benc
Externí odkaz:
http://arxiv.org/abs/2411.04880
In contemporary economic society, credit scores are crucial for every participant. A robust credit evaluation system is essential for the profitability of core businesses such as credit cards, loans, and investments for commercial banks and the finan
Externí odkaz:
http://arxiv.org/abs/2410.00256
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-14 (2024)
Abstract Academic data predictions are significantly important for improving the overall education system's effectiveness by providing early identification of weak students and personalized learning strategies. This paper proposes a deep learning mod
Externí odkaz:
https://doaj.org/article/14964149c097443d9a5d465c0970e27c
Autor:
Husssain, Shabir1 (AUTHOR), Ayoub, Muhammad2 (AUTHOR), Wahid, Junaid Abdul3 (AUTHOR), Khan, Akmal4 (AUTHOR), Alabrah, Amerah5 (AUTHOR), Amran, Gehad Abdullah6 (AUTHOR) jehad.westran@gmail.com
Publikováno v:
Scientific Reports. 10/24/2024, Vol. 14 Issue 1, p1-19. 19p.
Autor:
Alruqimi, Mohammed, Di Persio, Luca
Accurate crude oil price forecasting is crucial for various economic activities, including energy trading, risk management, and investment planning. Although deep learning models have emerged as powerful tools for crude oil price forecasting, achievi
Externí odkaz:
http://arxiv.org/abs/2407.12062