Výsledky vyhledávání - "Gradient boosting Algorithm"

Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data Autor 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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Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning Autor Wu, Xianguo, Feng, Zongbao, Liu, Jun, Chen, Hongyu, Liu, Yang

“…To accurately predict the existing tunnel deformation from adjacent foundation pit construction (AFPC), a hybrid prediction framework based on random forest…”
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An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes Autor Tang, Mingzhu, Zhao, Qi, Ding, Steven X., Wu, Huawei, Li, Linlin, Long, Wen, Huang, Bin

“…It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in dealing with big data collected from wind turbine operations. To…”
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Machine learning in PEM water electrolysis: A study of hydrogen production and operating parameters Autor 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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Sensitivity Study of The Effect Polymer Flooding Parameters to Improve Oil Recovery Using X-Gradient Boosting Algorithm Autor Erfando, Tomi, Khariszma, Rizqy

“…Implementation of waterflooding sometimes cannot increase oil recovery effectively and requires additional methods to increase oil recovery. Polymer flooding…”
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Optimization of graphene-based biosensor design for haemoglobin detection using the gradient boosting algorithm for behaviour prediction Autor Wekalao, Jacob, Prasad Srinivasan, Guru, Patel, Shobhit K., Ahmed Al-zahrani, Fahad

“…•A biosensor based on a metasurfaces for detecting hemoglobin is presented.•The Gradient Boosting Algorithm predicts absorption metrics with an R2 score of…”
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A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters Autor 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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Non-toxic antimicrobial peptide Hm-AMP2 from leech metagenome proteins identified by the gradient-boosting approach Autor Grafskaia, Ekaterina N., Pavlova, Elizaveta R., Latsis, Ivan A., Malakhova, Maja V., Ivchenkov, Dmitrii V., Bashkirov, Pavel V., Kot, Erik F., Mineev, Konstantin S., Arseniev, Alexander S., Klinov, Dmitry V., Lazarev, Vassili N.

“…[Display omitted] •· Gradient boosting approach to identify non-toxic AMPs from the medicinal leech metagenome protein database was implemented.•· Hm-AMP2…”
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An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China Autor Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO

“…ObjectiveLithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the…”
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Short-term prediction of particulate matter (PM10 and PM2.5) in Seoul, South Korea using tree-based machine learning algorithms Autor Kim, Bu-Yo, Lim, Yun-Kyu, Cha, Joo Wan

“…In this study, highly accurate particulate matter (PM10 and PM2.5) predictions were obtained using meteorological prediction data from the local data…”
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Assessment of MV XLPE cable aging state based on PSO-XGBoost algorithm Autor 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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Data-Driven Insights into Social Media Behavior Using Predictive Modeling Autor Selvakumar, V., Reddy, Nadipi Keerthana, Tulasi, R. Sree Vardhini, Kumar, Kunchala Rohit

“…This study proposes a statistical machine learning approach to predict social media usage across various demographic categories in India. The dataset comprises…”
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Risk assessment of customer churn in e-commerce platforms by integrating RF algorithm and extreme gradient boosting algorithm Autor Wang, Tao

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Early prediction of preeclampsia via machine learning Autor Marić, Ivana, Tsur, Abraham, Aghaeepour, Nima, Montanari, Andrea, Stevenson, David K., Shaw, Gary M., Winn, Virginia D.

“…Early prediction of preeclampsia is challenging because of poorly understood causes, various risk factors, and likely multiple pathogenic phenotypes of…”
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Ultra-high performance concrete compressive strength prediction using machine learning boosting algorithms Autor Brahmeswari, L. Chandana, Rao, B. D. V. Chandra Mohan

“…Concrete with Ultra-High Performance (UHPC) is a next-generation cement-based material known for its ultra-high compressive strength, enhanced ductility, and…”
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Early prediction of battery degradation in grid-scale battery energy storage system using extreme gradient boosting algorithm Autor 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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Solar photovoltaic power generation using machine learning considering weather conditions: A case study of Biret, Mauritania Autor Rchid, Abdellahi Moulaye, Attia, Moussa, Mohamed Mahmoud, Mohamed Elmamy, Aoulmi, Zoubir, Mahmoud, Abdelkader Ould

“…The increasing adoption of renewable energy sources positions solar energy as a vital solution, especially in remote areas. Forecasting energy production based…”
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Predicting the patch load resistance of stiffened plate girders using machine learning algorithms Autor 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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A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques Autor Priyadharshini, S., Ramkumar, K., Vairavasundaram, Subramaniyaswamy, Narasimhan, K., Venkatesh, S., Amirtharajan, Rengarajan, Kotecha, Ketan

“…Parkinson's disease (PD) is the second most prevalent neurological disorder, predominantly affecting older people. With no existing cure, the early detection…”
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NetBoost: Towards efficient distillation and service differentiation of network information exposure Autor Chen, Jie, Luo, Jian, Gao, Kai

“…Exposing network information such as distances between end hosts is useful to improve the quality of experiences for network users. Network providers calculate…”
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