This repository contains Python functions for predicting time series.
velocity.py reads in GROMACS trr trajectory (that inclides velocity information) and calculates center of mass translational velocity and angular velocity. It also computes translational and rotational kinetic energies, temperatures, velocity autocorrelation functions and power spectra
Codes for calculation of temporal correlations in model-data differences, creating and fitting mathematical models, and cross-validating the fits.
Explored a decade of CPI and BER data using Python and Jupyter notebooks for in-depth time series analysis, forecasting, and error evaluation. Techniques include data cleaning, exploratory analysis, and specialized time series modeling.
Compilation of main codes used in the paper "Heterogeneous antiferroelectric ordering in NaNbO3-SrSnO3 ceramics revealed by direct superstructure imaging"
A research project that addresses the recognition of activities and the gender of the performer using MoVi and MotionSense datasets
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