Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Meta-features"'
Publikováno v:
Vehicles, Vol 6, Iss 2, Pp 728-746 (2024)
This study aims to improve the accuracy of predicting the severity of traffic accidents by developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction. The model combines multidimensional data analysis including envir
Externí odkaz:
https://doaj.org/article/1487e7ba41b44d08b1a4e5c10fb913c0
Publikováno v:
IEEE Access, Vol 12, Pp 120804-120826 (2024)
The Arabic language role in actual global affairs entails sophisticated natural language processing techniques, especially in text classification. This paper presents Tasneef as a novel hybrid approach to tackle computational challenges by reducing m
Externí odkaz:
https://doaj.org/article/5576875384094dbf94aadb014d5ec671
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6541-6551 (2023)
Abstract Stable semantics is a prerequisite for achieving excellent image clustering. However, most current methods suffer from inaccurate class semantic estimation, which limits the clustering performance. For the sake of addressing the issue, we pr
Externí odkaz:
https://doaj.org/article/6fcbc23c146243e7bff8a35da5efe2c1
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract The recent evolution of machine learning (ML) algorithms and the high level of expertise required to use them have fuelled the demand for non-experts solutions. The selection of an appropriate algorithm and the configuration of its hyperpara
Externí odkaz:
https://doaj.org/article/74763689a38a4a7587adef4a0da8d524
Publikováno v:
IEEE Access, Vol 11, Pp 45815-45825 (2023)
Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no single algorithm has been found to be superior for all AD tasks. Choos
Externí odkaz:
https://doaj.org/article/2f007eeb8bea4d4cbf9fde9598926115
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-13 (2021)
Abstract Motivation Ether-a-go-go-related gene (hERG) channel blockade by small molecules is a big concern during drug development in the pharmaceutical industry. Blockade of hERG channels may cause prolonged QT intervals that potentially could lead
Externí odkaz:
https://doaj.org/article/02726b731b5642b39af2693ea350e281
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7065 (2023)
In the smart manufacturing sector, analyzing time series data is essential for monitoring plants and machinery to prevent costly failures or shutdowns. In order to gain new insights and make better control decisions, new methods are needed for extrac
Externí odkaz:
https://doaj.org/article/8242c4f88a924fcfb5108decd6e60026
Publikováno v:
IEEE Access, Vol 9, Pp 89675-89687 (2021)
A growing number of research papers shed light on automated machine learning (AutoML) frameworks, which are becoming a promising solution for building complex machine learning models without human expertise and assistance. The key challenge in enabli
Externí odkaz:
https://doaj.org/article/2be9b39585ba471592f66e4e4f69327b