Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Data division"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3938-3947 (2022)
The P-band spaceborne synthetic aperture radar (SAR) is significantly affected by ionospheric scintillation. Although the traditional phase gradient autofocus (PGA) can estimate and compensate for the scintillation phase of the single-polarization SA
Externí odkaz:
https://doaj.org/article/ecc2cb418a2446e996c87114c8495440
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 3521-3530 (2021)
In the current research, a newly developed ensemble intelligent predictive model called Bagging Regression (BGR) is proposed to predict the compressive strength of a hollow concrete masonry prism (fp). A matrix of input combinations is constructed ba
Externí odkaz:
https://doaj.org/article/64843f78f4834b028aad1ee593b10856
Publikováno v:
Leida xuebao, Vol 10, Iss 6, Pp 905-918 (2021)
To mitigate Radio Frequency Interference (RFI) for polarimetric Doppler weather radars, this paper proposes to use spectral polarimetric filters. Polarimetric weather radars can be divided into two basic categories: Simultaneously Transmitting and Si
Externí odkaz:
https://doaj.org/article/214757dee9b5482f924a398a2bc8be8f
Akademický článek
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Publikováno v:
Ciência Rural, Vol 52, Iss 5 (2021)
ABSTRACT: Splitting the whole dataset into training and testing subsets is a crucial part of optimizing models. This study evaluated the influence of the choice of the training subset in the construction of predictive models, as well as on their vali
Externí odkaz:
https://doaj.org/article/fb3899b0c0444213993fe4653b55f3db
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12983 (2022)
Speech emotion recognition is a crucial work direction in speech recognition. To increase the performance of speech emotion detection, researchers have worked relentlessly to improve data augmentation, feature extraction, and pattern formation. To ad
Externí odkaz:
https://doaj.org/article/1beabb6f66894c85ab243a3f2db992c8
Autor:
Okan Mert KATİPOĞLU
Publikováno v:
Volume: 13, Issue: 4 653-660
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi
Accurate estimation of streamflow has an important role in water resources management, disaster preparedness and early warning, reservoir operation, and sizing of water structures. In this study, Extreme gradient boosting (XGBoost) and K-Nearest Neig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae01cc997c51233f45be9a94d04d0f8
https://doi.org/10.24012/dumf.1158748
https://doi.org/10.24012/dumf.1158748
Autor:
Jairo Alfredo Sánchez Díaz, Julian Santiago Rojas Grillo, Juan Sebastián Guzmán Guzmán, Joaquín Abellán García
Publikováno v:
DYNA. 88:150-159
This paper investigates the performance of an artificial neural network (ANN) model in predicting the energy absorption capacity (g) of ultra-high-performance fiber reinforced concrete (UHPFRC) under direct tensile test. To avoid overfitting a data d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::021fb65aa5fed2e6099ae702ffa0ff1f
https://doi.org/10.15446/dyna.v88n217.86961
https://doi.org/10.15446/dyna.v88n217.86961
Publikováno v:
Chemistry Africa. 3:1009-1022
The global incidence of melanoma cancer is increasing rapidly and its metastatic form causes high mortality rates. The research report illustrates the development of a quantitative structure–activity relationship (QSAR) to predict the activities (p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65c515853c4fa8dfad413ad0d4e4dc9c
https://doi.org/10.1007/s42250-020-00185-w
https://doi.org/10.1007/s42250-020-00185-w
Publikováno v:
Journal of Communications Software and Systems
Volume 16
Issue 2
Journal of Communications Software and Systems, Vol 16, Iss 2, Pp 197-206 (2020)
Volume 16
Issue 2
Journal of Communications Software and Systems, Vol 16, Iss 2, Pp 197-206 (2020)
This paper details an extension of a Java parallel programming framework – JPLF. The JPLF framework is a programming framework that helps programmers build parallel programs using existing building blocks. The framework is based on {\em PowerLists}
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3f3f250a34fbe509814a163627d255
https://doi.org/10.24138/jcomss.v16i2.1029
https://doi.org/10.24138/jcomss.v16i2.1029