Zobrazeno 1 - 10
of 444
pro vyhledávání: '"SHapley additive exPlanations (SHAP)"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 8, Pp 3221-3232 (2024)
Boosting algorithms have been widely utilized in the development of landslide susceptibility mapping (LSM) studies. However, these algorithms possess distinct computational strategies and hyperparameters, making it challenging to propose an ideal LSM
Externí odkaz:
https://doaj.org/article/6029f72b38414ba7887c01b27b78457c
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Machine learning has made tremendous progress in predictive performance in recent years. Despite these advances, employing machine learning models in high-stake domains remains challenging due to the opaqueness of many high-performance models. If the
Externí odkaz:
https://doaj.org/article/2088e387444745ad90865017be28a2dc
Autor:
Maira Rubab, John D. Kelleher
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Previous research has suggested a potential link between vitamin D (VD) deficiency and adverse cardiovascular health outcomes, although the findings have been inconsistent. This study investigates the association between VD deficiency and cardiovascu
Externí odkaz:
https://doaj.org/article/ca4749d30aee4b0c83cc149a23efb4d2
Autor:
Jialing Bai, Chunying Ren, Xinying Shi, Hengxing Xiang, Wenmin Zhang, Hailing Jiang, Yongxing Ren, Yanbiao Xi, Zongming Wang, Dehua Mao
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112639- (2024)
Tree species diversity is crucial for forest ecosystem services as it relates to ecosystem functions. However, it remains unclear how spatially continuous tree species diversity affects multiple ecosystem services in temperate forests that undergo va
Externí odkaz:
https://doaj.org/article/a5f7c4ba1273488abab0343fe5429331
Autor:
Dhadkan SHRESTHA
Publikováno v:
Applied Medical Informatics, Vol 46, Iss 3 (2024)
The ability to predict heart illness was essential for prompt diagnosis and treatment. Using the Cleveland Heart Disease dataset, this study tested a number of machine learning models, including LSTM networks, Random Forest, Gradient Boosting, XGBoos
Externí odkaz:
https://doaj.org/article/9222c7fdb36b43bcb0b2cc50645a6771
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112348- (2024)
Cropland resources are crucial for food security and economic development. As a populous nation that considers cropland a valuable strategic resource, China has faced challenges of the phenomenon of the cropland non-agriculturalization (CLNA) in rece
Externí odkaz:
https://doaj.org/article/4a423d5d721b4ae887c90fc0bf55aa35
Publikováno v:
Sensors International, Vol 6, Iss , Pp 100297- (2025)
The Industrial Internet of Things (IIoT) is undergoing rapid development, and as a result, security threats have emerged as a significant concern. IIoT networks, while enhancing service quality, are particularly susceptible to security risks because
Externí odkaz:
https://doaj.org/article/bdad32948d984727a546c8c02d810fda
Autor:
Rasel Ahmed, Nafiz Fahad, Md Saef Ullah Miah, Md. Jakir Hossen, Md. Kishor Morol, Mufti Mahmud, M. Mostafizur Rahman
Publikováno v:
Healthcare Analytics, Vol 6, Iss , Pp 100362- (2024)
Dementia is a major global health issue that significantly impacts millions of individuals, families, and societies worldwide, creating a substantial burden on healthcare systems. This study introduces a novel approach for predicting dementia by empl
Externí odkaz:
https://doaj.org/article/1a7aea937c474021bfee96398db31b12
Publikováno v:
Healthcare Analytics, Vol 6, Iss , Pp 100353- (2024)
In recent decades, breast cancer has become the most prevalent type of cancer that impacts women in the world, which shows a significant risk to the death rates of women. Early identification of breast cancer might drastically decrease patient mortal
Externí odkaz:
https://doaj.org/article/3d3338421600430685fba4baa94981d5
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/5f5e021e32f04eff93c98b9440901b1c