Transmission power scheduling system simulation
The implementation of the algorithm for the optimal choice of power transmitters in the network
We've made an implementation of the algorithm as described in the article P. Phunchongharn and E. Hossain "Distributed robust scheduling and power control for cognitive spatial-reuse TDMA networks".
It's meant for the optimal choice of power transmitters in the network, maximizing the signal-to-noise ratio at the set restrictions on the power of the signal and the time of transmission.
The distributed algorithm has been implemented by the usage of a parallel computing toolbox, integrated in Matlab.
The algorithm was tested for a variety of network configurations, followed by a visualization of the experiment results.
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Car rental price simulation and prediction
The goal of the project is to train models for car rental price prediction in Japan based on the prices and demand for car rental from some Japanese car rental companies and the history of weather data in Japan.