Results 141 to 150 of about 447 (169)
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Prediction of Bearing Capacity of New and Old Pile Foundations of Transmission Towers by Integrating NGBoost Model

Journal of Computational Methods in Sciences and Engineering
Accurate prediction of the bearing capacity of pile foundations for transmission towers is critical for structural safety and design optimization. However, conventional predictive methods often suffer from limited accuracy and an inability to quantify the uncertainty associated with predictions, thereby undermining reliability in engineering decision ...
Shijun Huang   +4 more
exaly   +2 more sources

Analysis of NGBoost and XGBoost for Added Amount Fertilizer (NPK) Prediction: Uncertainty Estimation and Model Performance in Precision Agriculture

Journal of E-business and Management Science
Optimizing fertilizer application is essential for enhancing crop yield and minimizing the environmental impact of precision agriculture. This study presents a comparative analysis of XGBoost and NGBoost for predicting the amount of NPK fertilizer added, focusing on model performance and uncertainty estimation.
Norasmadi Abdul Rahim   +2 more
exaly   +2 more sources

Research on Cigarette Moisture Anomaly Risk Identification Based on an Improved NGBoost Algorithm

International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024)
Liming Zhu
exaly   +2 more sources

MSINGB: A Novel Computational Method Based on NGBoost for Identifying Microsatellite Instability Status from Tumor Mutation Annotation Data

Interdisciplinary Sciences: Computational Life Sciences, 2022
Microsatellite instability (MSI), a vital mutator phenotype caused by DNA mismatch repair deficiency, is frequently observed in several tumors. MSI is recognized as a critical molecular biomarker for diagnosis, prognosis, and therapeutic selection in several cancers.
Jinxiang Chen   +6 more
openaire   +2 more sources

Multi-Step Ahead Short-Term Residential DC Load Forecasting: A Comparative Study of Ngboost-Based Algorithms

2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
Noman Shabbir   +2 more
exaly   +2 more sources

Probabilistic prediction of asphalt pavement icing time using NGBoost: Factor analysis and model evaluation

Cold Regions Science and Technology
Pavement icing remains a major challenge for winter road management, particularly in mountainous environments where local microclimates change rapidly and increase predictive uncertainty. This study establishes a probabilistic prediction framework for asphalt pavement icing time by integrating controlled laboratory icing simulations with long term ...
Xingxing Zhou   +5 more
openaire   +2 more sources

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