Search Results - "Gradient-boosting algorithms"

A comparative analysis of gradient boosting algorithms by Bentéjac, Candice, Csörgő, Anna, Martínez-Muñoz, Gonzalo

“…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 by Sahin, Emrehan Kutlug

“…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 by Demir, Selçuk, Sahin, Emrehan Kutlug

“…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 by Sahour, Hossein, Gholami, Vahid, Torkaman, Javad, Vazifedan, Mehdi, Saeedi, Sirwe

“…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 by Abbas Jaffar, Syed Taseer, Iqbal, Mudassir, Bao, Xiaohua, Jalal, Fazal E., Chen, Xiangsheng

“…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 by Ghorbani, Ebrahim, Yagiz, Saffet

“…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 by Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Abba, Sani I., Hussain, Jamil, Choi, Soo-Mi

“…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 by Esparza-Gómez, Juan M., Luque-Vega, Luis F., Guerrero-Osuna, Héctor A., Carrasco-Navarro, Rocío, García-Vázquez, Fabián, Mata-Romero, Marcela E., Olvera-Olvera, Carlos Alberto, Carlos-Mancilla, Miriam A., Solís-Sánchez, Luis Octavio

“…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 by Ha, Hang, Bui, Quynh Duy, Tran, Dinh Trong, Nguyen, Dinh Quoc, Bui, Hanh Xuan, Luu, Chinh

“… 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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Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks by Dyer, Alec S., Zaengle, Dakota, Nelson, Jake R., Duran, Rodrigo, Wenzlick, Madison, Wingo, Patrick C., Bauer, Jennifer R., Rose, Kelly, Romeo, Lucy

“…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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Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms by Alwathaf, Yahia, Al-Areeq, Ahmed M., Al-Masnay, Yousef A., Al-Aizari, Ali R., Al-Areeq, Nabil M.

“…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 by Rouhani, Mohammad Matin, Dolatshahi, Alireza

“…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 by Tepakhan, Wanicha, Srisintorn, Wisarut, Penglong, Tipparat, Saelue, Pirun

“…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 by Ding, Ziwei, Nguyen, Hoang, Bui, Xuan-Nam, Zhou, Jian, Moayedi, Hossein

“…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 by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

“…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 by Al-Aizari, Ali R., Alzahrani, Hassan, AlThuwaynee, Omar F., Al-Masnay, Yousef A., Ullah, Kashif, Park, Hyuck-Jin, Al-Areeq, Nabil M., Rahman, Mahfuzur, Hazaea, Bashar Y., Liu, Xingpeng

“…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 by Wang, Luqi, Wu, Jiahao, Zhang, Wengang, Wang, Lin, Cui, Wei

“… This study proposes an efficient seismic slope stability analysis approach by introducing advanced gradient boosting algorithms, namely Categorical Boosting (CatBoost…”
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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 by Kumar, Rakesh, Prakash, Shubhum, Sirimontree, Sayan, Wipulanusat, Warit, Thongchom, Chanachai

“…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 by Lin, Shan, Liang, Zenglong, Dong, Miao, Guo, Hongwei, Zheng, Hong

“…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 by Plakas, Konstantinos, Andriopoulos, Nikos, Papadaskalopoulos, Dimitrios, Birbas, Alexios, Housos, Efthymios, Moraitis, Ioannis

“…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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