Results 31 to 40 of about 10,458 (157)
JMIR Bioinformatics and BiotechnologyBackgroundCancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial for effective treatment. This study presents a deep learning–based model designed to classify 5 common types of cancer in Saudi Arabia ...
Amani Ameen, Nofe Alganmi, Nada Bajnaid
doaj +1 more source
Remote Sensing, 2023 Crop chlorophyll content measuring plays a vital role in monitoring crop growth and optimizing agricultural inputs such as water and fertilizer. However, traditional methods for measuring chlorophyll content primarily rely on labor-intensive chemical ...
Weiguang Zhai +4 more
doaj +1 more source
Explainable stacking ensemble with feature tokenizer transformers for men’s diabetes prediction [PDF]
Journal of Men's HealthDiabetes is a leading global health concern, with millions of deaths linked to diabetes and related complications according to the World Health Organization (WHO). Early and accurate prediction is crucial for effective management.
Vinh Quang Tran +2 more
doaj +1 more source
Frontiers in PharmacologyIDH wild-type glioblastoma (GBM) intrinsic subtypes have been linked to different molecular landscapes and outcomes. Accurate prediction of molecular subtypes of GBM is very important to guide clinical diagnosis and treatment. Leveraging machine learning
Zesheng Li +3 more
doaj +1 more source
XStacking: Explanation-Guided Stacked Ensemble Learning
CoRREnsemble Machine Learning (EML) techniques, especially stacking, have been shown to improve predictive performance by combining multiple base models. However, they are often criticized for their lack of interpretability. In this paper, we introduce XStacking, an effective and inherently explainable framework that addresses this limitation by ...
Garouani, Moncef +2 more
openaire +3 more sources
Day-Ahead Forecast of Photovoltaic Power Based on a Novel Stacking Ensemble Method
IEEE Access, 2023 Accurate prediction of photovoltaic (PV) power is the prerequisite for the safe and stable operation of the power grid with high penetration of PV. Despite various machine learning models for forecasting PV power have been developed, their accuracies are
Luyao Liu +3 more
doaj +1 more source
Jurnal Teknologi Informatika & KomputerHeart disease remains a leading cause of mortality worldwide, necessitating the development of accurate predictive models for early diagnosis and intervention. This study investigates the effectiveness of ensemble learning approaches, particularly Voting
Gregorius Airlangga
doaj +1 more source
Prediction of vertical well inclination angle based on stacking ensemble learning
All EarthWell deviation is a common technical challenge in vertical well drilling operations. To accurately predict the Inclination angle in a certain oilfield in the Xinjiang work area, a Stacking-based ensemble learning method was established using historical ...
Hao Yan +3 more
doaj +1 more source
Ensemble Machine Learning Approach for Anemia Classification Using Complete Blood Count Data
Al-Mustansiriyah Journal of ScienceBackground: Anemia is a widespread global health issue affecting millions of individuals worldwide. Early and accurate diagnosis is essential for effective treatment. Traditional diagnostic approaches rely on complete blood count (CBC) parameters, which
Rasha Jamal Hindi
doaj +1 more source
Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites
IEEE Access, 2022 Phishing is a cyber attack that tricks the online users into revealing sensitive information with a fake website imitating a legitimate website. The attackers with stolen credentials not only use them for the targeted website but also can be used for accessing the other popular legitimate websites.
Lakshmana Rao Kalabarige +3 more
openaire +2 more sources