GitHub

k-nearest resampling (kNN) and method-of-fragments (MOF) based rainfall temporal disaggregation model conditioned on circulation patterns (cp) (written in c)

A temporal disaggregation model is usually used to derive sub-daily (like hourly) distributions of weather variables from daily scale. kNN_MOF_CP is a non-parametric disaggregation procedure developed ...
GitHub

ULM Super-Resolution Toolbox

Shapiro, G. "Ultrasound Localization Microscopy with Micro- and Nanobubbles: Processing Framework and Experimental Validation." M.Sc. Thesis, School of Biomedical Engineering, Tel Aviv University, ...
IEEE

T. J. Nagalakshmi

Machine Learning,Support Vector Machine,Internet Of Things,Wireless,Deep Learning,Learning Algorithms,Random Forest,Support Vector Machine Algorithm,Neural Network,Performance Metrics,Random Forest ...
www.cs.cmu.edu

Keystroke Dynamics - Benchmark Data Set

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...
PNAS

Wing stridulation in a Jurassic katydid (Insecta, Orthoptera) produced low-pitched musical calls to attract females

Edited* by David L. Dilcher, Indiana University, Bloomington, IN, and approved January 3, 2012 (received for review November 8, 2011) ...
Frontiers

Research on multi-algorithm fusion methods for forecasting typical daily load profiles in power system planning for target years

where: P i k is the k th eigenvalue of data point P i . m is the number of eigenvalues. 2. Calculate the k -distance for each data point. For data point P i, find the distance to its k th nearest ...