Výsledky vyhľadávania - "Gradient boosting algorithms"
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A comparative analysis of gradient boosting algorithms
ISSN: 0269-2821, 1573-7462Vydavateľské údaje: Dordrecht Springer Netherlands 01.03.2021Vydané v The Artificial intelligence review (01.03.2021)“…The family of gradient boosting algorithms has been recently extended with several interesting proposals (i.e…”
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Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping
ISSN: 1010-6049, 1752-0762, 1752-0762Vydavateľské údaje: Taylor & Francis 03.05.2022Vydané v Geocarto international (03.05.2022)“…The aim of the study is to compare four recent gradient boosting algorithms named as Gradient Boosting Machine (GBM…”
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Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost
ISSN: 1861-1125, 1861-1133Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023Vydané v Acta geotechnica (01.06.2023)“…Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines and buildings has been widely reported in recent earthquakes…”
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Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings
ISSN: 1866-6280, 1866-6299Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2021Vydané v Environmental earth sciences (01.11.2021)“…Monitoring temporal variation of streamflow is necessary for many water resources management plans, yet, such practices are constrained by the absence or…”
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Predicting the UCS of polyhydroxyalkanoate and xanthan gum treated sandy soil using gradient boosting algorithms
ISSN: 0959-6526Vydavateľské údaje: Elsevier Ltd 15.01.2025Vydané v Journal of cleaner production (15.01.2025)“…In geotechnical engineering, it has been reported that bio-based materials reduce environmental pollutants such as greenhouse gases and heavy metals. However,…”
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Estimating the penetration rate of tunnel boring machines via gradient boosting algorithms
ISSN: 0952-1976Vydavateľské údaje: Elsevier Ltd 01.10.2024Vydané v Engineering applications of artificial intelligence (01.10.2024)“…The prediction of tunnel boring machine (TBM) performance from the rate of penetration (ROP) point of view has yet to draw a lot of attention since it is one…”
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Flood-prone area mapping using a synergistic approach with swarm intelligence and gradient boosting algorithms
ISSN: 2045-2322, 2045-2322Vydavateľské údaje: London Nature Publishing Group UK 31.07.2025Vydané v Scientific reports (31.07.2025)“…Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of…”
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Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction
ISSN: 2076-3417, 2076-3417Vydavateľské údaje: Basel MDPI AG 01.11.2023Vydané v Applied sciences (01.11.2023)“…One of the main challenges agricultural greenhouses face is accurately predicting environmental conditions to ensure optimal crop growth. However, the current…”
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Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms
ISSN: 1573-2975, 1573-2975Vydavateľské údaje: Dordrecht Springer Netherlands 01.08.2025Vydané v Environment, development and sustainability (01.08.2025)“… The study aimed to compare the predictive performance of advanced gradient boosting algorithms for modeling landslide susceptibility, including Gradient Boosting (GB…”
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Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms
ISSN: 1010-6049, 1752-0762Vydavateľské údaje: Taylor & Francis Group 31.12.2025Vydané v Geocarto international (31.12.2025)“…Floods pose a significant risk to urban areas worldwide, causing extensive damage to infrastructure, property, and human lives. The goal of this work is to…”
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Predicting mode I fracture toughness of CCNBD quasi-brittle specimens using hybrid gradient boosting algorithms
ISSN: 0167-8442Vydavateľské údaje: Elsevier Ltd 01.08.2025Vydané v Theoretical and applied fracture mechanics (01.08.2025)“…This study examines the prediction of Mode I fracture toughness in Cracked Chevron Notched Brazilian Disc (CCNBD) specimens by integrating hybrid machine…”
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Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms
ISSN: 2045-2322, 2045-2322Vydavateľské údaje: London Nature Publishing Group UK 15.05.2025Vydané v Scientific reports (15.05.2025)“…Formulas based on red blood cell indices have been used to differentiate between iron deficiency anemia (IDA) and thalassemia (Thal). However, they exhibit…”
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Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms
ISSN: 1520-7439, 1573-8981Vydavateľské údaje: New York Springer US 01.04.2020Vydané v Natural resources research (New York, N.Y.) (01.04.2020)“…In this paper, we developed a novel hybrid model ICA–XGBoost for estimating blast-produced ground vibration in a mine based on extreme gradient boosting…”
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Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise
ISSN: 2673-4591Vydavateľské údaje: MDPI AG 01.12.2023Vydané v Engineering proceedings (01.12.2023)“…Airfoil noise due to pressure fluctuations impacts the efficiency of aircraft and has created significant concern in the aerospace industry. Hence, there is a…”
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Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen
ISSN: 2072-4292, 2072-4292Vydavateľské údaje: Basel MDPI AG 01.01.2024Vydané v Remote sensing (Basel, Switzerland) (01.01.2024)“…Flooding is a natural disaster that coexists with human beings and causes severe loss of life and property worldwide. Although numerous studies for flood…”
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Efficient Seismic Stability Analysis of Embankment Slopes Subjected to Water Level Changes Using Gradient Boosting Algorithms
ISSN: 2296-6463, 2296-6463Vydavateľské údaje: Frontiers Media S.A 02.12.2021Vydané v Frontiers in earth science (Lausanne) (02.12.2021)“… This study proposes an efficient seismic slope stability analysis approach by introducing advanced gradient boosting algorithms, namely Categorical Boosting (CatBoost…”
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Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks
ISSN: 0951-8339, 1873-4170Vydavateľské údaje: Barking Elsevier Ltd 01.05.2022Vydané v Marine structures (01.05.2022)“…Offshore oil and gas platforms operating past their design life can pose significant risk to operators and the surrounding environment, as the integrity of…”
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Prediction of rapid chloride permeability of ground granulated blast furnace slag and silica fume based ultra‐high performance concrete using hybrid gradient boosting algorithms
ISSN: 1464-4177, 1751-7648Vydavateľské údaje: 22.06.2025Vydané v Structural concrete : journal of the FIB (22.06.2025)“…Reducing concrete permeability to chloride ions is crucial for extending the lifespan of concrete structures. This study investigates the enhancement of…”
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Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability
ISSN: 2467-9674, 2096-2754, 2467-9674Vydavateľské údaje: Shanghai Elsevier B.V 01.08.2024Vydané v Underground space (Beijing) (01.08.2024)“…We conducted a study to evaluate the potential and robustness of gradient boosting algorithms in rock burst assessment, established a variational autoencoder (VAE…”
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Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market
ISSN: 2169-3536, 2169-3536Vydavateľské údaje: Piscataway IEEE 2025Vydané v IEEE access (2025)“…An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage…”
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