T

time-series

Source code for shyft.

Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

[2011] Emergency flood forecasting system from Thailand's 2011 crisis. Provided 5-day ARIMA predictions with spatial interpolation across Bangkok, enabling 13 million residents to protect homes when official models failed, shared via public platforms.

[2019-2024] Climate prediction framework using statistical downscaling of GCM data. Combines ARIMA time series, machine learning regression, and stochastic weather generation for 5-day forecasts with spatial interpolation capabilities. The pilot area is the eastern seaboard of Thailand.

IOT Dashboard system, isolated by organization. MQTT ingestion (history via a time-series-database), alerts, etc.

A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.

Time Series database using an InfluxDB instance for CarbonCollins - Cloud

Time Series database using an Mimir instance for CarbonCollins - Cloud

UMSI Capstone-Inside Air BNB Predictive Model

Cryptocurrency Prices Flutter App

generate KD maps through QAA

Process movement data from neuromotor tests on Kinesia ONE devices to estimate Parkinson's Disease in patients.

Core matlab toolbox, analysis tools, and C++/Mex helper library.

Standalone Matlab implementation of Empirical Mode Decompositions (EMD).

Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data