Results 41 to 50 of about 43,844 (258)
Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method
Mathematics, 2023 This article presents a study on forecasting silver prices using the extreme gradient boosting (XGBoost) machine learning method with hyperparameter tuning.
Dylan Norbert Gono +2 more
doaj +1 more source
BuildingsThe standard approach for testing ordinary concrete compressive strength (CS) is to cast samples and test them after different curing times. However, testing adds cost and time to projects, and, therefore, construction sites experience delays.
Fei Zhu +3 more
doaj +1 more source
Predicting the cytotoxicity of nanomaterials through explainable, extreme gradient boosting
Nanotoxicology, 2022 Nanoparticles (NPs) are a wide class of materials currently used in several industrial and biomedical applications. Due to their small size (1-100 nm), NPs can easily enter the human body, inducing tissue damage. NP toxicity depends on physical and chemical NP properties (e.g., size, charge and surface area) in ways and magnitudes that are still ...
Allegra Conti +4 more
openaire +4 more sources
REGRESSION-BASED PREDICTION OF ANXIETY SEVERITY [PDF]
Carpathian Journal of Electrical EngineeringThe present study explores the use of machine learning to predict self-reported anxiety levels based on demographic, behavioral, and physiological data.
Bogdan CHIS +3 more
doaj +1 more source
Agriculture, 2022 Soybeans with insignificant differences in appearance have large differences in their internal physical and chemical components; therefore, follow-up storage, transportation and processing require targeted differential treatment.
Qinghe Zhao +3 more
doaj +1 more source
Predicting Bank Loan Default with Extreme Gradient Boosting
CoRR, 2020 5 pages, 3 Figures, 4 ...
openaire +2 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Predictive Modeling of the Hot Metal Sulfur Content in a Blast Furnace Based on Machine Learning
Metals, 2023 The sulfur content of hot metal in a blast furnace is an important index that reflects the production effects and quality of the hot metal. Establishing an accurate prediction model for hot metal sulfur content can guide the production process.
Song Zhang +6 more
doaj +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Frontiers in Genetics, 2022 The exploration of DNA-binding proteins (DBPs) is an important aspect of studying biological life activities. Research on life activities requires the support of scientific research results on DBPs.
Ziye Zhao +4 more
doaj +1 more source