Search Results - "Extreme gradient boosting algorithm"

Machine learning in PEM water electrolysis: A study of hydrogen production and operating parameters by Shomope, Ibrahim, Al-Othman, Amani, Tawalbeh, Muhammad, Alshraideh, Hussam, Almomani, Fares

“…•Advanced machine learning models, such as RF, SVM, and XGBoost, demonstrate high accuracy in predicting hydrogen production rates in PEM electrolyzers.•RF…”
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A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters by Zhu, Xiaotong, Guo, Hongwei, Huang, Jinhui Jeanne, Tian, Shang, Zhang, Zijie

“…•A hybrid model named CVXS was proposed to forecast the ChlA and TN concentrations.•Machine learning was integrated with decomposition algorithms in the CVXS…”
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Assessment of MV XLPE cable aging state based on PSO-XGBoost algorithm by Pan, Qiaosheng, Zhang, Chi, Wei, Xinyuan, Wan, Aode, Wei, Zeping

“…•Cable aging is a major risk to the operation of power systems.•A PSO-XGBoost state assessment model is proposed to evaluate the aging state of MV XLPE…”
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Risk assessment of customer churn in e-commerce platforms by integrating RF algorithm and extreme gradient boosting algorithm by Wang, Tao

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Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data by Razavizadeh, Nadiasadat Taghavi, Salari, Maryam, Jafari, Mostafa, Sabaghian, Ehsan, Ghavami, Vahid

“…Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19. This…”
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Early prediction of battery degradation in grid-scale battery energy storage system using extreme gradient boosting algorithm by Brillianto Apribowo, Chico Hermanu, Hadi, Sasongko Pramono, Wijaya, Franscisco Danang, Bambang Setyonegoro, Mokhammad Isnaeni, Sarjiya

“…The growth of battery energy storage systems (BESS) is caused by the variability and intermittent nature of high demand and renewable power generation at the…”
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Predicting the patch load resistance of stiffened plate girders using machine learning algorithms by Truong, Viet-Hung, Papazafeiropoulos, George, Vu, Quang-Viet, Pham, Van-Trung, Kong, Zhengyi

“…In the incremental launching method employed for steel bridge construction, the girder is subjected to patch loading which occurs at the piers’ position. This…”
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Machine Learning-Based Online Multi-Fault Diagnosis for IMs Using Optimization Techniques With Stator Electrical and Vibration Data by Hsu, Shih-Hsien, Lee, Chien-Hsing, Wu, Wen-Fang, Jiang, Joe-Air

“…Induction motors (IMs) have been commonly applied to industrial fields since the past decades; thus, developing advanced fault diagnosis methods becomes vital…”
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Prediction of ultimate bearing capacity of single pile in composite formation based on HGS-XGBoost algorithm by Sun, Zong-jun, Han, Ying-feng, Jiang, Feng, Wang, Gang, Zheng, Wen, Liu, Fei, Wu, Yue

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A metamodel for estimating time-dependent groundwater-induced subsidence at large scales by Haaf, Ezra, Wikby, Pierre, Abed, Ayman, Sundell, Jonas, McGivney, Eric, Rosén, Lars, Karstunen, Minna

“…Construction of large underground infrastructure facilities routinely leads to leakage of groundwater and reduction of pore water pressures, causing…”
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A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features by Baki, Neslihan, Gürsel Özmen, Nurhan

“…Parkinson's disease (PD) is a serious neurological disease that is threatening the whole world population. The devolution of the neurons located in the…”
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Utility of Machine Learning Algorithms in Predicting Preoperative Lymph Node Metastasis in Patients With Rectal Cancer Based on Three-Dimensional Endorectal Ultrasound and Clinical and Laboratory Data by Huang, Weiqin, Lin, Ruoxuan, Ke, Xiaohui, Ni, Shixiong, Zhang, Zhen, Tang, Lina

“…We aimed to investigate the value of a machine learning (ML) algorithm in the preoperative prediction of lymph node metastasis in patients with rectal cancer…”
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Assessment of EMI Effects on UAV Data Links by Zhang, Xiaolu, Chen, Yazhou, Zhao, Min, Li, Yansong

“…To assess the survivability of an unmanned aerial vehicle (UAV) in a complex electromagnetic environment, a novel method for assessing electromagnetic…”
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Optimized Extreme Gradient Boosting with Remora Algorithm for Congestion Prediction in Transport Layer by Kumar, Ajay, Hemrajani, Naveen

“…Transmission control protocol (TCP) is the most common protocol found in recent networks to maintain reliable communication. The most popular transport…”
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Aspect-oriented extraction and sentiment analysis using optimized hybrid deep learning approaches by Kotagiri, Srividya, Sowjanya, A. Mary, Anilkumar, B., Devi, N Lakshmi

“…Aspect-oriented extraction involves the identification and extraction of specific aspects, features, or entities within a piece of text. Traditional methods…”
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A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies by Singh, Kumari Nutan, Goswami, Arup Kumar, Chudhury, Nalin Behari Dev, Cali, Umit, Ustun, Taha Selim

“…Integrating renewable energy resources (RES) into the energy market through a virtual power plant (VPP) framework is an effective strategy for reducing carbon…”
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Estimation of high cycle fatigue life of additively manufactured Ti6Al4V using data analytics by Konda, Nithin, Verma, Raviraj, Jayaganthan, R.

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Fusing XGBoost and SHAP Models for Maritime Accident Prediction and Causality Interpretability Analysis by Zhang, Cheng, Zou, Xiong, Lin, Chuan

“…In order to prevent safety risks, control marine accidents and improve the overall safety of marine navigation, this study established a marine accident…”
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Dual particle swarm optimization based data-driven state of health estimation method for lithium-ion battery by Liu, Xingtao, Liu, Xiaojian, Fang, Leichao, Wu, Muyao, Wu, Ji

“…Accurate estimation of Li-ion battery state of health (SOH) is essential to ensure battery safety and vehicle operation. Here, this paper proposes a dual…”
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Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa by Moulla, Donatien Koulla, Attipoe, David, Mnkandla, Ernest, Abran, Alain

“…The recurrent load shedding crisis in South Africa has highlighted the need to accurately predict electricity consumption for residential buildings. This has…”
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