Výsledky vyhledávání - "Random forest algorithm"

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm Autor Iwendi, Celestine, Bashir, Ali Kashif, Peshkar, Atharva, Sujatha, R., Chatterjee, Jyotir Moy, Pasupuleti, Swetha, Mishra, Rishita, Pillai, Sofia, Jo, Ohyun

“…Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time collection, and processing of end-user devices is now in high…”
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Large group activity security risk assessment and risk early warning based on random forest algorithm Autor Chen, Yanyu, Zheng, Wenzhe, Li, Wenbo, Huang, Yimiao

“… This article aims to evaluate and warn the security risks of large-scale group activities based on the random forest algorithm…”
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ESG score prediction through random forest algorithm Autor D’Amato, Valeria, D’Ecclesia, Rita, Levantesi, Susanna

“…Environment-related risks affect assets in various sectors of the global economy, as well as social and governance aspects, giving birth to what is known as…”
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Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India Autor Nandy, Subrata, Srinet, Ritika, Padalia, Hitendra

“…The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1 data and investigate the effect of integrating forest canopy height…”
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Predicting Solar Flares Using SDO/HMI Vector Magnetic Data Products and the Random Forest Algorithm Autor Liu, Chang, Deng, Na, Wang, Jason T. L., Wang, Haimin

“…Adverse space-weather effects can often be traced to solar flares, the prediction of which has drawn significant research interests. The Helioseismic and…”
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WildWood: a new Random Forest algorithm Autor Gaiffas, Stephane, Merad, Ibrahim, Yu, Yiyang

“…We introduce WildWood (WW), a new ensemble algorithm for supervised learning of Random Forest (RF) type. While standard RF algorithms use bootstrap out-of-bag…”
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Risk assessment of bridge construction investigated using random forest algorithm Autor Wu, Ying, Wang, Yigang, Liu, Hongbing, Xie, Liping, Jiao, Lili, Lu, Pengzhen

“…Bridge construction collapse is one of the most common bridge safety accidents. At present, evaluation results are often affected by the ability and experience…”
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A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment Autor Jianguo Chen, Kenli Li, Zhuo Tang, Bilal, Kashif, Shui Yu, Chuliang Weng, Keqin Li

“…With the emergence of the big data age, the issue of how to obtain valuable knowledge from a dataset efficiently and accurately has attracted increasingly…”
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An Ensemble Random Forest Algorithm for Insurance Big Data Analysis Autor Lin, Weiwei, Wu, Ziming, Lin, Longxin, Wen, Angzhan, Li, Jin

“… forest algorithm that uses the parallel computing capability and memorycache mechanism optimized by Spark…”
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Evaluation of patient safety culture using a random forest algorithm Autor Simsekler, Mecit Can Emre, Qazi, Abroon, Alalami, Mohammad Amjad, Ellahham, Samer, Ozonoff, Al

“…•Random forest algorithm is developed and used to predict the relationship between safety culture dimensions and patient safety grade, as a result of hospital-level aggregate survey data…”
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A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm Autor Han, Qinghua, Gui, Changqing, Xu, Jie, Lacidogna, Giuseppe

“…•An improved random forest method was proposed to predict HPCCS.•Appropriate features for modeling can be obtained by this method.•Satisfactory results with…”
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Flood disaster risk assessment based on random forest algorithm Autor Zhu, Zijiang, Zhang, Yu

“… This research mainly discusses flood disaster risk assessment based on random forest algorithm…”
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Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm Autor Tan, Xiaopeng, Su, Shaojing, Huang, Zhiping, Guo, Xiaojun, Zuo, Zhen, Sun, Xiaoyong, Li, Longqing

“…) to balance the dataset and then uses the random forest algorithm to train the classifier for intrusion detection…”
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Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review Autor Sarica, Alessia, Cerasa, Antonio, Quattrone, Aldo

“…Machine learning classification has been the most important computational development in the last years to satisfy the primary need of clinicians for automatic…”
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Crop phenology retrieval via polarimetric SAR decomposition and Random Forest algorithm Autor Wang, Hongquan, Magagi, Ramata, Goïta, Kalifa, Trudel, Melanie, McNairn, Heather, Powers, Jarrett

“… The objective of this study is to monitor crop phenology using Synthetic Aperture Radar (SAR) polarimetric decompositions and a random forest algorithm applied to a multi…”
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Effective Macrosomia Prediction Using Random Forest Algorithm Autor Wang, Fangyi, Wang, Yongchao, Ji, Xiaokang, Wang, Zhiping

“…(1) Background: Macrosomia is prevalent in China and worldwide. The current method of predicting macrosomia is ultrasonography. We aimed to develop new…”
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Flash-Flood Forecasting in an Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm Autor Muñoz, Paul, Orellana-Alvear, Johanna, Willems, Patrick, Célleri, Rolando

“… While process-based models are hard to implement, there is a potential to use the random forest algorithm due to its simplicity, robustness and capacity to deal with complex data structures…”
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An Improved Random Forest Algorithm for Predicting Employee Turnover Autor Gao, Xiang, Zhang, Cheng, Wen, Junhao

“… To address this need, this study aims to enhance the ability to forecast employee turnover and introduce a new method based on an improved random forest algorithm…”
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Process optimization of biomass gasification with a Monte Carlo approach and random forest algorithm Autor Fang, Yi, Ma, Li, Yao, Zhiyi, Li, Wangliang, You, Siming

“… This study combined the Monte Carlo simulation approach, gasification kinetic modeling, and the random forest algorithm to predict the optimal gasification…”
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An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction Autor Lei, Lei, Shao, Suola, Liang, Lixia

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