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Algorithm maps the connections between the brain's structure and function
Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...
SiliconANGLE2mon
AWS and InfluxData partner to scale time series data for AI and IoT innovation
Recognizing this relentless demand, Amazon Web Services Inc. and InfluxData Inc. have struck a powerful alliance to reinvent the way developers and enterprises harness time series data.
Frontiers1y
Multi-Index Ecoacoustics Analysis for Terrestrial Soundscapes: A New Semi-Automated Approach Using Time-Series Motif Discovery and Random Forest Classification
To address these issues we investigate the use of time-series motif discovery and random forest classification ... repetitive patterns of the data were detected (here referred to as motifs) in ...
SciELO1y
Detection of Eyebolt Faults Using a Random Forest Ensemble Model Based on Multiple High-Frequency Electromagnetic Parameters
Based on a random forest classifier in the analysis of multiple input parameters, it provides the detection algorithm with a diversity of representations of the structure under ... measured several ...
Frontiers2y
Series Arc Fault Diagnosis Based on Variational Mode Decomposition and Random Forest
Characteristic vectors were constructed based on time–frequency characteristic quantities, and the characteristic vector was trained based on the random forest algorithm ... series arc fault ...
IEEE4y
A Topology Informed Random Forest Classifier for ECG Classification
Our approach leverages mathematically computable topological signatures of 12-lead ECGs as proxy for features informed by medical expertise to train a two-level random forest model in ... We view ECGs ...