Search Results - Random forest algorithms

From UAV to PlanetScope: Upscaling fractional cover of an invasive species Rosa rugosa. by Bergamo, Thaísa F., de Lima, Raul Sampaio, Kull, Tiiu, Ward, Raymond D., Sepp, Kalev, Villoslada, Miguel

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Empirical Method for Thyroid Disease Classification Using a Machine Learning Approach. by Alyas, Tahir, Hamid, Muhammad, Alissa, Khalid, Faiz, Tauqeer, Tabassum, Nadia, Ahmad, Aqeel

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Assessing occupational hazards in welding operations: A machine learning-based approach for worker safety in Indian foundries. by Garg, Mudit, Das, Gurumukh, Vuppuluri, Prem Prakash

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Outcomes of Patients Living with HIV Hospitalized due to COVID-19: A 3-Year Nationwide Study (2020–2022). by Garcia-Carretero, Rafael, Vazquez-Gomez, Oscar, Rodriguez-Maya, Belen, Gil-Prieto, Ruth, Gil-de-Miguel, Angel

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Predicting the pulse of the Amazon: Machine learning insights into deforestation dynamics. by Dias, Fernanda, Suhadolnik, Nicolas, Camargo, Heloisa, Da Silva, Sergio

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Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods. by Jiao, Jianling, Shuai, Yana, Li, Jingjing

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Effects of chlorophyll fluorescence on environment and gross primary productivity of moso bamboo during the leaf-expansion stage. by Xu, Yanxin, Du, Huaqiang, Mao, Fangjie, Li, Xuejian, Zhou, Guomo, Huang, Zihao, Guo, Keruo, Zhang, Meng, Luo, Xin, Chen, Chao, Zhao, Yinyin

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A comparative study on urban waterlogging susceptibility assessment based on multiple data-driven models. by Han, Feifei, Yu, Jingshan, Zhou, Guihuan, Li, Shuang, Sun, Tong

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Combined effects of river hydromorphological disturbances on macroinvertebrate communities: Multispatial scales analysis of central European rivers. by Kędzior, Renata, Skalski, Tomasz

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Identification of important features in overweight and obesity among Korean adolescents using machine learning. by Lee, Serim, Chun, JongSerl

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Predicting reservoir sedimentation using multilayer perceptron – Artificial neural network model with measured and forecasted hydrometeorological data in Gibe-III reservoir, Omo-Gi... by Lukas, Paulos, Melesse, Assefa M., Kenea, Tadesse Tujuba

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Forest fire susceptibility assessment under small sample scenario: A semi-supervised learning approach using transductive support vector machine. by Ma, Tianwu, Wang, Gang, Guo, Rui, Chen, Liang, Ma, Junfei

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Physical habitat modeling for river macroinvertebrate communities. by Pinna, Beatrice, Laini, Alex, Negro, Giovanni, Burgazzi, Gemma, Viaroli, Pierluigi, Vezza, Paolo

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Estimating divergent forest carbon stocks and sinks via a knife set approach. by Wang, Shitephen, Kobayashi, Keito, Takanashi, Satoru, Liu, Chiung-Pin, Li, Dian-Rong, Chen, San-Wen, Cheng, Yu-Ting, Moriguchi, Kai, Dannoura, Masako

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Using POI and time series Landsat data to identify and rebuilt surface mining, vegetation disturbance and land reclamation process based on Google Earth Engine. by Xiao, Wu, Deng, Xinyu, He, Tingting, Guo, Jiwang

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Predicting Therapist Effectiveness From Their Own Practice-Based Evidence. by Kraus, David R., Bentley, Jordan H., Alexander, Pamela C., Boswell, James F., Constantino, Michael J., Baxter, Elizabeth E., Castonguay, Louis G.

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Using Classification and Regression Trees (CART) and random forests to analyze attrition: Results from two simulations. by Hayes, Timothy, Satoshi Usami, Jacobucci, Ross, McArdle, John J., Usami, Satoshi

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랜덤 포레스트 모델을 활용한 국내 청소년 성경험 영향요인 분석 연구: 2019~2021년 청소년건강행태조사 데이터. by 양윤석, 권주원, 양영란

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Past dynamics and future prediction of the impacts of land use cover change and climate change on landscape ecological risk across the Mongolian plateau. by Guo, Jingpeng, Li, Frank Yonghong, Tuvshintogtokh, Indree, Niu, Jianming, Li, Haoxin, Shen, Beibei, Wang, Yadong

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Deep learning models for monitoring landscape changes in a UNESCO Global Geopark. by Pham, Thi Tram, Dang, Kinh Bac, Giang, Tuan Linh, Hoang, Thi Huyen Ngoc, Le, Van Ha, Ha, Huy Ngoc

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