Outdoor localization with machine learning techniques
Accurately determining the position of devices at minimum cost is important for many modern applications and systems. In this project we aim to improve and evaluate the performance of such a system using machine learning tools and techniques.
Dates
The first meeting for the institute project is on Tuesday, 17.04.2018, 2:00 p.m., in ICT cubes Room 333.
Materials
Contact Person:
M.Sc. Saeed Shojaee upon agreemnet
M.Sc. Alireza Zamani upon agreemnet