ANBERI, RoumaissaBAKHTI, FouziaYAGOUB, Reda2024-09-092024-09-092024http://dspace.univ-temouchent.edu.dz/handle/123456789/5034There are several location methods based on GSM networks, such as Time of Arrival (TOA), Time Difference of Arrival (TDOA), Received Signal Strength Indicator (RSSI), and triangulation. The objective of this final study project is to develop a localization system based on GSM signals using a machine learning model. This system represents an important and interesting challenge. We first presented how to collect and analyze a large set of data received from GSM signals, then we implemented a machine learning model to improve the prediction accuracy. The model achieved encouraging performance and good accuracy.frlocalisation, GPS, signaux GSM, intelligence artificielle, apprentissage automatiqueThesis