Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China

Engineering Applications of Artificial Intelligence, Journal Year: 2022, Volume and Issue: 117, P. 105579 - 105579

Published: Nov. 16, 2022

Language: Английский

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A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction

Health & Social Care in the Community, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 10

Published: Feb. 20, 2023

Cardiovascular disease (CVD) is a life-threatening rising considerably in the world. Early detection and prediction of CVD as well other heart diseases might protect many lives. This requires tact clinical data analysis. The potential predictive machine learning algorithms to develop doctor’s perception essential all stakeholders health sector since it can augment efforts doctors have healthier climate for patient diagnosis treatment. We used (ML) algorithm carry out significant explanation accurate decision making patients. Simple random sampling was select patients from Khyber Teaching Hospital Lady Reading Hospital, Pakistan. ML methods such tree (DT), forest (RF), logistic regression (LR), Naïve Bayes (NB), support vector (SVM) were implemented classification purposes performed exploratory analysis experimental output algorithms. also estimated confusion matrix recursive operating characteristic curve performance proposed using numerous conditions recognize best suitable class models. RF had highest accuracy prediction, sensitivity, operative 85.01%, 92.11%, 87.73%, respectively, CVD. It least specificity misclassification errors 43.48% 8.70%, These results indicated that most appropriate prediction. Our model be settings worldwide

Language: Английский

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A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(2)

Published: Jan. 16, 2025

Language: Английский

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Interactive effects of mulching practice and nitrogen rate on grain yield, water productivity, fertilizer use efficiency and greenhouse gas emissions of rainfed summer maize in northwest China

Agricultural Water Management, Journal Year: 2021, Volume and Issue: 248, P. 106778 - 106778

Published: Feb. 5, 2021

Language: Английский

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Blending urea and slow-release nitrogen fertilizer increases dryland maize yield and nitrogen use efficiency while mitigating ammonia volatilization

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 790, P. 148058 - 148058

Published: May 28, 2021

Language: Английский

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Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices

Agricultural Water Management, Journal Year: 2021, Volume and Issue: 252, P. 106906 - 106906

Published: April 28, 2021

Language: Английский

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Data mining with 12 machine learning algorithms for predict costs and carbon dioxide emission in integrated energy-water optimization model in buildings

Energy Conversion and Management, Journal Year: 2021, Volume and Issue: 238, P. 114153 - 114153

Published: April 22, 2021

Language: Английский

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Grain yield and greenhouse gas emissions from maize and wheat fields under plastic film and straw mulching: A meta-analysis

Field Crops Research, Journal Year: 2021, Volume and Issue: 270, P. 108210 - 108210

Published: June 30, 2021

Language: Английский

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Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis

Agricultural Water Management, Journal Year: 2021, Volume and Issue: 255, P. 107027 - 107027

Published: June 17, 2021

Language: Английский

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Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: A case of commercial buildings in China

Waste Management, Journal Year: 2021, Volume and Issue: 126, P. 791 - 799

Published: April 22, 2021

Language: Английский

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