Zobrazeno 1 - 10
of 89
pro vyhledávání: '"ensemble learning models"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Lung and colon cancers are leading contributors to cancer-related fatalities globally, distinguished by unique histopathological traits discernible through medical imaging. Effective classification of these cancers is critical for accurate d
Externí odkaz:
https://doaj.org/article/75d870ec60ac472da04ceb919a9ecf3b
Publikováno v:
Agricultural Water Management, Vol 306, Iss , Pp 109157- (2024)
Blue water (BW) and green water (GW) are crucial components of the hydrological cycle, but their accurate simulation and interpretation remain challenging in data-scarce basins. We propose the SWAT-ELM-SHAP model, coupling the Soil and Water Assessme
Externí odkaz:
https://doaj.org/article/81c5183e2528424fb3c61b2fb527218e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104284- (2024)
This study aimed to create a model to identify land suitable for growing sunn hemp (Crotalaria juncea) and pigeon pea (Cajanus cajan) in the Okavango River basin of the Kavango East region of Namibia. Advanced tree-based ensemble learning models, inc
Externí odkaz:
https://doaj.org/article/2c92b9aec9264c459ce15cc79af93e81
Autor:
Akash Deep
Publikováno v:
Quantitative Finance and Economics, Vol 8, Iss 2, Pp 286-314 (2024)
This paper presents a novel integration of Machine Learning (ML) models with Monte Carlo simulations to enhance financial forecasting and risk assessments in dynamic market environments. Traditional financial forecasting methods, which primarily rely
Externí odkaz:
https://doaj.org/article/05677d64e5134c14835ac2ed5f56c884
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102792- (2024)
Vortex structures are widely employed for energy dissipation in urban surface water conveyance systems. When transporting wastewater through these networks, a substantial amount of water energy is dissipated. The effectiveness of these structures is
Externí odkaz:
https://doaj.org/article/cc832cb98da04f819e3dce78e98667ff
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In today’s world, a country’s economy is one of the most crucial foundations. However, industries’ financial operations depend on their ability to meet their electricity demands. Thus, forecasting electricity consumption is vital for properly p
Externí odkaz:
https://doaj.org/article/ba052230738a4c1a9996abf7d0cee33d
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102723- (2024)
Ensuring the safe operation of suspension bridges is paramount to prevent unwanted events that can cause failures. Therefore, it is crucial to continuously monitor their operational status to uphold safety and reliability levels. However, natural det
Externí odkaz:
https://doaj.org/article/bc2f3704db5e454c8a321e431f7b42a9
Autor:
Kang, Yan a, b, ⁎, Xiang, Yue a, Zhang, Zishang a, Wan, Ruyi a, Li, Wanxue a, Zhang, Shuo c, Li, Lingjie d, Song, Songbai a, b
Publikováno v:
In Journal of Hydrology April 2025 651
Autor:
Hanxiang Xiong, Xu Guo, Yuzhou Wang, Ruihan Xiong, Xiaofan Gui, Xiaojing Hu, Yonggang Li, Yang Qiu, Jiayao Tan, Chuanming Ma
Publikováno v:
Geocarto International, Vol 0, Iss 0, Pp 1-32 (2023)
This study makes a significant contribution to the field of groundwater potential mapping (GWPM) by exploring the application of ensemble learning models (ELMs), specifically boosting ensemble models (BEMs), which have not been fully utilized in GWPM
Externí odkaz:
https://doaj.org/article/03f7b13ecb9f48819754a84cf898cd57
Publikováno v:
PeerJ Computer Science, Vol 10, p e2043 (2024)
This article presents an evaluation of BukaGini, a stability-aware Gini index feature selection algorithm designed to enhance model performance in machine learning applications. Specifically, the study focuses on assessing BukaGini’s effectiveness
Externí odkaz:
https://doaj.org/article/6c5c4f5965184d1eb9cc279fd700f88a