Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Hana Sulieman"'
Autor:
Ahmad Al-Issa, Hana Sulieman
Publikováno v:
Frontiers in Communication, Vol 9 (2024)
Language choice or preference, that is the deliberate selection of language(s) for different purposes in different contexts, situations and domains, is a complex sociolinguistic phenomenon as it is usually motivated by numerous sociolinguistic factor
Externí odkaz:
https://doaj.org/article/2046cacd6ffd405b91540885bb070003
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19686- (2023)
It has been shown that while feature selection algorithms are able to distinguish between relevant and irrelevant features, they fail to differentiate between relevant and redundant and correlated features. To address this issue, we propose a highly
Externí odkaz:
https://doaj.org/article/27d3bb4d18c9407988e54e88eff435c0
Publikováno v:
Mathematics, Vol 12, Iss 4, p 570 (2024)
Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, co
Externí odkaz:
https://doaj.org/article/487cbf7549254296ac90abb866f79cf9
Publikováno v:
Energies, Vol 17, Iss 3, p 626 (2024)
Accurate forecasting is one of the keys to the efficient use of the limited existing energy resources and plays an important role in sustainable development. While most of the current research has focused on energy price forecasting, very few studies
Externí odkaz:
https://doaj.org/article/663227d03415488294f818a586b2f80e
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-23 (2022)
Abstract To mitigate the curse of dimensionality in high-dimensional datasets, feature selection has become a crucial step in most data mining applications. However, no feature selection method consistently delivers the best performance across differ
Externí odkaz:
https://doaj.org/article/c3dec03e43254f8e9dd878b93379e7f6
Publikováno v:
Sensors, Vol 23, Iss 13, p 5811 (2023)
The rise in crime rates in many parts of the world, coupled with advancements in computer vision, has increased the need for automated crime detection services. To address this issue, we propose a new approach for detecting suspicious behavior as a m
Externí odkaz:
https://doaj.org/article/9b4be8c5002f49688081160806ff6463
Publikováno v:
Mathematics, Vol 11, Iss 3, p 525 (2023)
This work employs machine learning methods to develop and test a technique for dynamic stability analysis of the mathematical model of a power system. A distinctive feature of the proposed method is the absence of a priori parameters of the power sys
Externí odkaz:
https://doaj.org/article/05ecb80e318c498082da6fc5cf3f35b5
Publikováno v:
Antibiotics, Vol 11, Iss 12, p 1744 (2022)
Knowledge of antibiotics and awareness of microbial resistance are essential for appropriate antibiotic consumption. This study aimed to develop and validate a measure of antibiotic knowledge and consumption (AKCT) and to make it available in the Ara
Externí odkaz:
https://doaj.org/article/66dc7743ddfa4582a0614da3e979f04b
Publikováno v:
Biomedicines, Vol 10, Iss 12, p 3139 (2022)
Targeted liposomes triggered by ultrasound are a promising drug delivery system as they potentially improve the clinical outcomes of chemotherapy while reducing associated side effects. In this work, a comprehensive model fitting was performed for a
Externí odkaz:
https://doaj.org/article/01987a1af020457ab449266d59c18424
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
The COVID-19 pandemic has impelled the majority of schools and universities around the world to switch to remote teaching. One of the greatest challenges in online education is preserving the academic integrity of student assessments. The lack of dir
Externí odkaz:
https://doaj.org/article/1978aee0d2f7436eaac258392526ddad