Open Access Journal Article Feeds
Distribution model Model training In this subsidiary step, four machine learning algorithms are trained on the basis of the training data. These are: OCSVM (One Class Support Vector Machine), logistic…
Alexandridis T, Cherif I, Chemin Y, Silleos G, Stavrinos E, Zalidis G (2009) Integrated methodology for estimating water use in mediterranean agricultural areas. Remote Sens 1:445–465 Article Google Scholar Allen…
In the following sections, the articles from the dataset are reviewed, organised progressively by each level of the acquisition method’s spatial resolution. Given the extensive literature available on EEG signals,…
Training and test datasets Fujiwara et al. (2020) proposed fault models with 3480 cases of interplate earthquakes in the study area (Fig. 1). We constructed the training data by calculating all…
Frontiers | A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and…
Frontiers | Supervised machine learning for predicting shear sonic log (DTS) and volumes of…
Frontiers | Prevalence, increase and predictors of family violence during the COVID-19 pandemic, using…
Frontiers | Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors…
Frontiers | Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia …
Frontiers | A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning…