Works matching DE "RANDOM forest algorithms"
Results: 5000
Modelling current and future forest fire susceptibility in north-eastern Germany.
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- Natural Hazards & Earth System Sciences, 2025, v. 25, n. 1, p. 383, doi. 10.5194/nhess-25-383-2025
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The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context.
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- Natural Hazards & Earth System Sciences, 2025, v. 25, n. 1, p. 247, doi. 10.5194/nhess-25-247-2025
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88812-9
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88297-6
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Soil organic carbon contents and their major influencing factors in mangrove tidal flats: a comparison between estuarine and non-estuarine areas.
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- Ecological Processes, 2025, p. 1, doi. 10.1186/s13717-025-00581-5
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Machine learning-based models for predicting calibration cost of flowmeters in the oil industry.
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- Neural Computing & Applications, 2025, v. 37, n. 4, p. 2537, doi. 10.1007/s00521-024-10748-4
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A hybrid CNN-random forest model with landmark angles for real-time Arabic sign language recognition.
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- Neural Computing & Applications, 2025, v. 37, n. 4, p. 2641, doi. 10.1007/s00521-024-10729-7
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Morphological evidence supports splitting of species in the North Atlantic Sebastes spp. complex.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0316988
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0312196
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Predictors of depression among Chinese college students: a machine learning approach.
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- BMC Public Health, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12889-025-21632-8
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019.
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- BMC Pregnancy & Childbirth, 2025, v. 25, n. 1, p. 1, doi. 10.1186/s12884-025-07248-1
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis.
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- Journal of Geodesy & Geoinformation Science, 2024, v. 7, n. 4, p. 37, doi. 10.11947/j.JGGS.2024.0404
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Dynamic Resource Utilization Prediction Model for Cloud Datacenter.
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- IAENG International Journal of Applied Mathematics, 2025, v. 55, n. 2, p. 307
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Rice Extent and Cropping Patterns in Terengganu Malaysia Based on Sentinel-2 Data on Google Earth Engine.
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- Pertanika Journal of Science & Technology, 2025, v. 33, n. 1, p. 465, doi. 10.47836/pjst.33.1.21
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Machine Learning Precision for Mangosteen Maturity: A Comparative Analysis of Conventional Classifiers.
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- Pertanika Journal of Science & Technology, 2025, v. 33, n. 1, p. 283, doi. 10.47836/pjst.33.1.13
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An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers.
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- PLoS Digital Health, 2025, v. 4, n. 2, p. 1, doi. 10.1371/journal.pdig.0000543
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PREDICTIVE ALGORITHMS FOR SUPPLY CHAIN MANAGEMENT: A COMPREHENSIVE APPROACH TO FORECASTING DELIVERY TIMES AND MANAGING RISK.
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- Journal of Modern Science, 2024, v. 57, p. 498, doi. 10.13166/jms/191218
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arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests.
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- Journal of Open Research Software, 2024, v. 12, n. 1, p. 1, doi. 10.5334/jors.492
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Investigating Sentiment Analysis of News in Stock Market Prediction UtilizingMachine Learning Techniques.
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- International Journal of Information & Communication Technology Research (2251-6107), 2024, v. 16, n. 3, p. 54
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A feature selection and scoring scheme for dimensionality reduction in a machine learning task.
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- Journal of Nigerian Society of Physical Sciences, 2025, v. 7, n. 1, p. 1, doi. 10.46481/jnsps.2025.2273
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Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach.
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- JMIR Bioinformatics & Biotechnology, 2024, v. 5, n. 1, p. 1, doi. 10.2196/62747
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Intelligent System for Student Performance Prediction Using Machine Learning.
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- Baghdad Science Journal, 2024, v. 21, n. 12, p. 3877, doi. 10.21123/bsj.2024.9643
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A Hybrid Bat-Grey Wolf Algorithm for Predicting Chronic Kidney Disease.
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- Information & Security, 2024, v. 55, n. 2, p. 199, doi. 10.11610/isij.5508
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- Article
HEART FAILURE RISK PREDICTION USING AZURE DATA LAKE ARCHITECTURE WITH AUTOMATED MACHINE LEARNING AND MACHINE LEARNING APPROACHES.
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- Thermal Science, 2024, v. 28, n. 6B, p. 5059, doi. 10.2298/TSCI2406059A
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PREDICTION OF ROCK SLOPE FAILURE BASED ON MULTIPLE MACHINE LEARNING ALGORITHMS.
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- Thermal Science, 2024, v. 28, n. 6B, p. 4907, doi. 10.2298/TSCI2406907M
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0318230
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Federated learning based reference evapotranspiration estimation for distributed crop fields.
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- PLoS ONE, 2025, v. 20, n. 2, p. 1, doi. 10.1371/journal.pone.0314921
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Modeling economic growth in pandemic times with machine learning regression algorithms.
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- Mexican Journal of Economics & Finance / Revista Mexicana de Economia y Finanzas, 2025, v. 20, n. 1, p. 1, doi. 10.21919/remef.v20i1.911
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators.
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- Frontiers in Endocrinology, 2025, p. 1, doi. 10.3389/fendo.2024.1449064
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Contribution of socio-demographic and clinical characteristics to predict initial referrals to psychosocial interventions in patients with serious mental illness.
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- Epidemiology & Psychiatric Science, 2024, v. 33, p. 1, doi. 10.1017/S2045796024000015
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- Article
The fault diagnosis method for overall wind turbine systems with an integrated feature extraction method.
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- Wind Engineering, 2025, v. 49, n. 1, p. 57, doi. 10.1177/0309524X241307586
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Identification of Potential Targets of Stress Cardiomyopathy by a Machine Learning Algorithm.
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- Cardiovascular Innovations & Applications (CVIA), 2024, v. 9, p. 1, doi. 10.15212/CVIA.2024.0011
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Smart Healthcare: Brain Stroke Prediction using Machine Learning.
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- Journal of Applied Information Science, 2024, v. 12, n. 2, p. 13
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Continuous glucose monitoring using machine learning models and IoT device data: A meta-analysis.
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- Technology & Health Care, 2025, v. 33, n. 1, p. 577, doi. 10.3233/THC-241403
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Comparison of machine learning methods for limited predictive maintenance.
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- Nigde Omer Halisdemir University Journal of Engineering Sciences / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2025, v. 14, n. 1, p. 183, doi. 10.28948/ngumuh.1465282
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Developing a Predictive Model for Engineering Graduates Placement Using a Data-Driven Machine Learning Approach.
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- Journal of Applied Research on Industrial Engineering, 2024, v. 11, n. 4, p. 536, doi. 10.22105/jarie.2024.468839.1641
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Unraveling clay-mineral genesis and climate change on Earth and Mars using machine learning-based VNIR spectral modeling.
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- American Mineralogist, 2025, v. 110, n. 2, p. 217, doi. 10.2138/am-2023-9299
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- Article
Estimated Shallot Yield Area Using the Rapid Classification of Croplands Method.
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- Indonesian Journal of Agricultural Sciences / Jurnal Ilmu Pertanian Indonesia, 2025, v. 30, n. 1, p. 108, doi. 10.18343/jipi.30.1.108
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Predicción experimental de cobertura en una red LTE mediante el uso de algoritmos de machine learning.
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- Investigación e Innovación en Ingenierías, 2024, v. 12, n. 2, p. 178, doi. 10.17081/invinno.12.2.7215
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A comparative study of machine learning methods for identifying the 15 CIE standard skies.
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- Journal of Building Physics, 2025, v. 48, n. 4, p. 473, doi. 10.1177/17442591241266836
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- Article
Determining the most accurate machine learning algorithms for medical diagnosis using the monk' problems database and statistical measurements.
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- Journal of Experimental & Theoretical Artificial Intelligence, 2025, v. 37, n. 2, p. 357, doi. 10.1080/0952813X.2023.2196984
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Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88819-2
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- Article
Survival analysis of COVID-19 versus non-COVID-19 patients requiring intensive care for acute respiratory distress syndrome: An observational retrospective study.
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- Canadian Journal of Respiratory Therapy, 2024, v. 60, p. 112, doi. 10.29390/001c.122402
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Assessing future changes in flood susceptibility under projections from the sixth coupled model intercomparison project: case study of Algiers City (Algeria).
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- Natural Hazards, 2025, v. 121, n. 2, p. 2133, doi. 10.1007/s11069-024-06887-5
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Comparisons of filter, wrapper, and embedded feature selection for rockfall susceptibility prediction and mapping.
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- Natural Hazards, 2025, v. 121, n. 2, p. 1911, doi. 10.1007/s11069-024-06878-6
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Characteristics and function of the gut microbiota in patients with rectal neuroendocrine tumors.
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- Journal of Cancer, 2025, v. 16, n. 4, p. 1040, doi. 10.7150/jca.103297
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Machine learning assisted composition design of high-entropy Pb-free relaxors with giant energy-storage.
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- Nature Communications, 2025, v. 16, n. 1, p. 1, doi. 10.1038/s41467-025-56443-3
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- Article
LINEAR REGRESSION MODELS CAN PREDICT THE DIRECT LDL-C TEST LEVELS WITH 74% ACCURACY: MACHINE LEARNING-BASED COMPUTING OF CHOLESTEROL.
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- Turkish Journal of Biochemistry / Turk Biyokimya Dergisi, 2023, v. 48, p. 81
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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization.
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- PLoS ONE, 2025, v. 20, n. 1, p. 1, doi. 10.1371/journal.pone.0317558
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- Article
Combined effects of basalt fiber geometrical characteristics on pavement performance of asphalt mixtures.
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- PLoS ONE, 2025, v. 20, n. 1, p. 1, doi. 10.1371/journal.pone.0316173
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- Article