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   Articles with "catboost" as a keyword



Enhancing the Accuracy of Water–Air Flow Prediction via Hybrid CatBoost Modelling

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recommendations! Published in 2025 at "Irrigation and Drainage"

DOI: 10.1002/ird.70024

Abstract: The unclear hydraulic performance of aeration pipelines is an important factor restricting their further application in agricultural fields. Methods for predicting changes in the flow of aeration pipelines often rely on empirical models and often… read more here.

Keywords: catboost; air; water; enhancing accuracy ... See more keywords

Comparative analysis of CatBoost, LightGBM, XGBoost, RF, and DT methods optimised with PSO to estimate the number of k-barriers for intrusion detection in wireless sensor networks

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recommendations! Published in 2025 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-025-02654-5

Abstract: The protection of borders is a critical concern for all countries, and Wireless Sensor Networks (WSNs) play a crucial role in assuring security by enabling intrusion detection and surveillance at border regions. This study presents… read more here.

Keywords: detection; catboost; intrusion detection; model ... See more keywords

Hybrid metaheuristic optimized Catboost models for construction cost estimation of concrete solid slabs

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-06380-4

Abstract: Accurate construction cost prediction is essential for effective project planning and resource allocation, particularly in the competitive construction industry. This study introduces an advanced approach to predicting the costs of concrete solid slabs by combining… read more here.

Keywords: catboost; concrete solid; construction cost; cost ... See more keywords

A Novel CatBoost-Optuna Model for Hydrate Phase Equilibrium Prediction Considering the Molecular Properties and Functional Group Features

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recommendations! Published in 2025 at "SPE Journal"

DOI: 10.2118/228401-pa

Abstract: The interaction mechanism among the components of each phase in systems containing organic solutes is highly complex, making it extremely difficult to precisely model the hydrate phase equilibrium based on the classic thermodynamics theory. To… read more here.

Keywords: hydrate phase; catboost; model hydrate; model ... See more keywords

Simple Method to Predict Insulin Resistance in Children Aged 6–12 Years by Using Machine Learning

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recommendations! Published in 2022 at "Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy"

DOI: 10.2147/dmso.s380772

Abstract: Background Due to the increasing insulin resistance (IR) in childhood, rates of diabetes and cardiovascular disease may rise in the future and seriously threaten the healthy development of children. Finding an easy way to predict… read more here.

Keywords: machine; insulin resistance; machine learning; catboost ... See more keywords

Prediction of Solid Soluble Content of Green Plum Based on Improved CatBoost

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recommendations! Published in 2023 at "Agriculture"

DOI: 10.3390/agriculture13061122

Abstract: Most green plums need to be processed before consumption, and due to personal subjective factors, manual harvesting and sorting are difficult to achieve using standardized processing. Soluble solid content (SSC) of green plum was taken… read more here.

Keywords: green plums; prediction; catboost; green plum ... See more keywords

Transient Stability-Constrained Optimal Power Flow Model Based on CatBoost-DF and ISOA

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recommendations! Published in 2025 at "Energies"

DOI: 10.3390/en18236126

Abstract: Traditional transient stability-constrained optimal power flow (TSCOPF) methods rely on solving complex nonlinear differential equations, resulting in high computational demands and lengthy processing times. To address these issues, this paper proposes a TSCOPF model based… read more here.

Keywords: transient stability; catboost; stability constrained; model ... See more keywords

Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway

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recommendations! Published in 2025 at "Land"

DOI: 10.3390/land14010172

Abstract: The effectiveness of data-driven landslide susceptibility mapping relies on data integrity and advanced geospatial analysis; however, selecting the most suitable method and identifying key regional factors remains a challenging task. To address this, this study… read more here.

Keywords: susceptibility; landslide susceptibility; catboost; machine learning ... See more keywords