Zobrazeno 1 - 10
of 205
pro vyhledávání: '"multi-output regression"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 61-67 (2025)
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. The quality of
Externí odkaz:
https://doaj.org/article/ddad1394bddd45e483b6c9ae53df6eea
Publikováno v:
IEEE Access, Vol 12, Pp 17760-17772 (2024)
This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves the use of dense layers as additive models within the Gradient
Externí odkaz:
https://doaj.org/article/0317b59513ab4ab791b687b1f8f07497
Publikováno v:
Case Studies in Thermal Engineering, Vol 56, Iss , Pp 104209- (2024)
The whole temperature distribution of a turbine blade is an important information for heat transfer design for turbine, but it is very difficult and expensive to measure the whole temperature filed, especially for the internal points of a blade. It i
Externí odkaz:
https://doaj.org/article/2f7cbeb9d13f46b9acb2b888827ba091
Publikováno v:
IEEE Access, Vol 11, Pp 140092-140102 (2023)
The increasing integration of Inverter Interfaced Distributed Generators (IIDGs) into distribution networks has led to a more active nature of the grid. However, the accuracy-speed trade-off caused by iterative algorithms and simplified models in the
Externí odkaz:
https://doaj.org/article/fc53c6761abb49b4996dfc7301781707
Publikováno v:
Energies, Vol 17, Iss 4, p 850 (2024)
In this study, an optimization method using various multi-output regression models as model proxies within the NSGA-II framework was applied to determine the geometric parameters (P, W, D) of L-shaped twisted tape inserts for achieving the optimal ov
Externí odkaz:
https://doaj.org/article/a8f3609ead66462386b91571ae008d54
Autor:
Soumyashree Kar, Jason R. McKenna, Glenn Anglada, Vishwamithra Sunkara, Robert Coniglione, Steve Stanic, Landry Bernard
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1964 (2023)
While study of ocean dynamics usually involves modeling deep ocean variables, monitoring and accurate forecasting of nearshore environments is also critical. However, sensor observations often contain artifacts like long stretches of missing data and
Externí odkaz:
https://doaj.org/article/eb250249fc1844cb878be99c460de85d
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Many single-output regression problems require estimates of uncertainty along with the point predictions. For this purpose, there exists a class of regression algorithms that predict a conditional distribution rather than a point estimate. The off-th
Externí odkaz:
https://doaj.org/article/7d6c606aeff64505b288f557969926a6
Autor:
Selim Sahrane, Mourad Haddadi
Publikováno v:
ENP Engineering Science Journal, Vol 1, Iss 2, Pp 50-54 (2021)
Device-level power consumption information can lead to considerable energy savings. Smart meters are being adopted in several countries, but they are only capable of measuring the total power consumption. NonIntrusive Load Monitoring (NILM) aims to i
Externí odkaz:
https://doaj.org/article/3f0dac6c12684e818f0ca1738076e832
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Akademický článek
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