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Predictive and Explainable Machine Learning Models for Endocrine, Nutritional, and Metabolic Mortality in Italy Using Geolocalized Pollution Data
Published 2025-04-01“…Performance was assessed using metrics such as coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula>), mean absolute error (MAE), and root mean squared error (RMSE), revealing that GB outperformed both RF and XGB, offering superior predictive accuracy and model stability (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.55, MAE = 0.17, and RMSE = 0.05). …”
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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models
Published 2025-12-01Get full text
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Model Predictive Control of Uncertain Constrained Linear System Based on Mixed ℋ2/ℋ∞ Control Approach
Published 2012-01-01Get full text
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A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM
Published 2025-09-01“…Our model and dataset are open sourced at https://github.com/YanJieWen/OD-STGCN.…”
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An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk
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PrediQt-Cx: post treatment health related quality of life prediction model for cervical cancer patients.
Published 2014-01-01“…The objectives of the study were to compare the pre and the post treatment quality of life in cervical cancer patients and to develop a prediction model to provide an insight into the possibilities in the treatment modules.…”
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Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
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Prediction of Seawater Intrusion Run-Up Distance Based on <i>K</i>-Means Clustering and ANN Model
Published 2025-02-01“…The model’s performance is demonstrated through a high <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> value of 0.97 and low mean squared error (MSE) of 0.0092, surpassing traditional ANN models in its ability to capture complex wave dynamics.…”
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