Results 71 to 80 of about 88,463 (183)
An Extreme Gradient Boosting Approach for Elderly Falls Classification
Engineering ProceedingsFalls pose a significant threat to the elderly population, often resulting in severe health complications such as fractures and other adverse outcomes, which can drastically lower their quality of life.
Paulo Monteiro de Carvalho Monson +5 more
doaj +1 more source
Ain Shams Engineering JournalThe study evaluates the prediction accuracy of concrete compressive and tensile strength using machine learning and deep learning models with diverse sand materials, cement types, and filler combinations.
Tarek Salem Abdennaji +2 more
doaj +1 more source
Predicting Bank Loan Default with Extreme Gradient Boosting
, 2020 5 pages, 3 Figures, 4 ...
openaire +2 more sources
Boosting approach to brine viscosity estimation: Binary system development
Chemical Thermodynamics and Thermal AnalysisAccurate prediction of brine viscosity is essential for the design and optimisation of desalination, hydrometallurgical, and energy-storage systems. In this work, machine-learning-based regression models were developed to predict the viscosity of binary ...
Vinita Sangwan +3 more
doaj +1 more source
Accurate Liver Disease Prediction with Extreme Gradient Boosting
International Journal of Engineering and Advanced Technology, 2019 Abstract-Machine learning is used extensively in medical diagnosis to predict the existence of diseases. Existing classification algorithms are frequently used for automatic detection of diseases. But most of the times, they do not give 100% accurate results. Boosting techniques are often used in Machine learning to get maximum classification accuracy.
Sivala Vishnu Murty, Dr. R Kiran Kumar
openaire +1 more source
Journal of Applied Science and EngineeringAccurate forecasting of house construction cost is central to good forecasting and resource management. Traditional methods of estimation fall short due to uncertainty in material, labor, and macroeconomic drivers.
Yinghong Shi
doaj +1 more source
Frontiers in Cardiovascular MedicineIntroductionAccurate in-hospital mortality prediction following percutaneous coronary intervention (PCI) is crucial for clinical decision-making. Machine Learning (ML) and Data Mining methods have shown promise in improving medical prognosis accuracy ...
Nan Tang +8 more
doaj +1 more source
Robust Decision Trees Against Adversarial Examples
, 2019 Although adversarial examples and model robustness have been extensively studied in the context of linear models and neural networks, research on this issue in tree-based models and how to make tree-based models robust against adversarial examples is ...
Boning, Duane +3 more
core
Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data
SensorsSinkholes are geohazards that commonly form in karstifiable terrain and are an ever-present danger to infrastructure and human life. This paper aims to answer the question: Can a cover–subsidence sinkhole’s volume be determined using fibre Bragg grating ...
Wesley B. Richardson +3 more
doaj +1 more source
Huli yanjiuObjectiveTo analyze the influencing factors of preoperative frailty in breast cancer patients and to develop a risk prediction model.MethodsA total of 583 inpatients scheduled for surgical treatment in the breast surgery departments of two Grade A ...
ZHANG Qing +6 more
doaj