Results 131 to 140 of about 6,285,017 (364)

The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach [PDF]

, 2020
Susanna Levantesi, Gabriella Piscopo
openalex   +1 more source

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

Geoscience Frontiers, 2021
Wengang Zhang, Chongzhi Wu, Haiyi Zhong, Yongqin Li, Lin Wang   +4 more
semanticscholar   +1 more source

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

Ecological Indicators
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained from 128 sample plots of Pinus yunnanensis forest located in Chuxiong prefecture,
Xiaoli Zhang, Hanwen Shen, Tianbao Huang, Yong Wu, Binbing Guo, Zhi Liu, Hongbin Luo, Jing Tang, Hang Zhou, Leiguang Wang, Weiheng Xu, Guanglong Ou   +11 more
doaj   +1 more source

Ensemble random forest for tropical cyclone tracking [PDF]

Natural Hazards and Earth System Sciences
Even though tropical cyclones (TCs) are well documented during the intense part of their lifecycle until they weaken, many physical and statistical properties governing them are not well captured by gridded reanalysis or simulated by Earth System Models.
P. Vaittinada Ayar, S. Bourdin, D. Faranda, D. Faranda, D. Faranda, M. Vrac   +5 more
doaj   +1 more source

Model-assisted estimation through random forests in finite population\n sampling [PDF]

, 2020
Mehdi Dagdoug, Camélia Goga, David Haziza   +2 more
openalex   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine

International Journal of Renewable Energy Development
In the ongoing search for an alternative fuel for diesel engines, biogas is an attractive option. Biogas can be used in dual-fuel mode with diesel as pilot fuel.
Khac Binh Le, Minh Thai Duong, Dao Nam Cao, Van Vang Le   +3 more
doaj   +1 more source

Evapotranspiration Response to Climate Change in Semi-Arid Areas: Using Random Forest as Multi-Model Ensemble Method [PDF]

, 2021
Marcos Ruíz Álvarez, Francisco Gomariz‐Castillo, Francisco Alonso‐Sarría   +2 more
openalex   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source