Real time peak detection with z-score for Arduino

Minimal A/B Testing Library in PHP

Anthropometric z-score calculator

Identification of meritorious students in primary education

CNN autoencoder is trained on the MNIST numbers dataset for image reconstruction. Anomaly detection is carried out by calculating the Z-score. The framework used is Keras.

Android app testing reaction times during awake brain surgeries

A Qt port of the peak detection algorithm demo from https://stackoverflow.com/a/22640362, with interactive parameters.

An implementation of Monroe et al., 2008.

misc scripts

Outlier detection (z-score and IQR) and visualization on Geolife dataset for transport mode detection task

Retrieving, Processing, and Visualizing Data with Python

Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.

A TensorFlow 2 Implemention of Deep Adaptive Input Normalization for Time Series Using Keras API

🔢 Anomaly detection service for Google Cloud Monitoring metrics, utilising statistical analysis to identify significant deviations in time-series data

Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data

Undergraduate Project - Statistical Outlier Detection Methods

Free WordPress Plugin: The Z-Score Calculator helps to get the z-score of a normal distribution, convert between z-score and probability, and get the probability between 2 z-scores. www.calculator.io/z-score-calculator/

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

Description of outliers

Use z-score analysis to find out anomalous behavior in the room by analyzing the condition of the light in your room.