Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shengfeng Gan"'
Publikováno v:
IEEE Access, Vol 11, Pp 53195-53206 (2023)
Aggregating loads and resources on both the supply and demand side of a virtual power plant (VPP) can enhance coordination between distributed generation systems and the power grid, ultimately improving the utilization rate and economic benefits of r
Externí odkaz:
https://doaj.org/article/a426d166cb5948dd98911fc73dfca058
Publikováno v:
IEEE Access, Vol 8, Pp 51377-51387 (2020)
Naive Bayes (NB) is an extremely simple and remarkably effective approach to classification learning, but its conditional independence assumption rarely holds true in real-world applications. Attribute weighting is known as a flexible model via assig
Externí odkaz:
https://doaj.org/article/b3ae53b27f014a129883db2b3c5fd2f9
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3345 (2022)
Link prediction is an important problem in network data mining, which is dedicated to predicting the potential relationship between nodes in the network. Normally, network link prediction based on supervised classification will be trained on a datase
Externí odkaz:
https://doaj.org/article/d867f3f4a35e43168a1472c8e1428b91
Publikováno v:
Energies, Vol 15, Iss 5, p 1765 (2022)
To address the problem of DC bus voltage surge caused by load demand fluctuation in an off-grid microgrid, here, an adaptive energy optimization method based on a hybrid energy-storage system to maintain the stability of DC bus voltage is presented.
Externí odkaz:
https://doaj.org/article/2c40ac1119ec4f62b292997f8650d4e1
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2982 (2021)
Naive Bayes (NB) is easy to construct but surprisingly effective, and it is one of the top ten classification algorithms in data mining. The conditional independence assumption of NB ignores the dependency between attributes, so its probability estim
Externí odkaz:
https://doaj.org/article/496adcfb2e3f4275bc51967387bbb127
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2378 (2021)
Due to its simplicity, efficiency, and effectiveness, multinomial naive Bayes (MNB) has been widely used for text classification. As in naive Bayes (NB), its assumption of the conditional independence of features is often violated and, therefore, red
Externí odkaz:
https://doaj.org/article/2e97697dbd76449999976e055cf9edb2
Publikováno v:
Rapid Communications in Mass Spectrometry: RCM; 4/30/2024, Vol. 38 Issue 8, p1-12, 12p
Publikováno v:
Current Bioinformatics. 17:440-451
Background:Due to the limited amount of mRNA in single-cell, there are always many missing values in scRNA-seq data, making it impossible to accurately quantify the expression of singlecell RNA. The dropout phenomenon makes it impossible to detect th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f7d0f0605629ee8028b9d23978e71ee
https://doi.org/10.2174/1574893617666220330151024
https://doi.org/10.2174/1574893617666220330151024
Publikováno v:
Waves in Random and Complex Media. :1-29
This article presents the high-exactitude analysis of hygro-thermo-mechanical vibration of the three-phase multi-scale hybrid composite angle-ply laminated rectangular plate (MHCALRP) for different...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7840c3a5df9511a561ae7cd4f1bd1a02
https://doi.org/10.1080/17455030.2021.1936282
https://doi.org/10.1080/17455030.2021.1936282
Publikováno v:
IEEE Access, Vol 8, Pp 51377-51387 (2020)
Naive Bayes (NB) is an extremely simple and remarkably effective approach to classification learning, but its conditional independence assumption rarely holds true in real-world applications. Attribute weighting is known as a flexible model via assig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::910f5bedb39bdf08c78b9e9d28f08b75
https://ieeexplore.ieee.org/document/9040522/
https://ieeexplore.ieee.org/document/9040522/