Wisdom of the Mobile/Pervasive Crowd

Organisatsiooni nimi
Distributed and Pervasive Systems Group
Kokkuvõte
This project explores the analysis of large-scale datasets collected in the wild from crowds of users/devices. Examples of this include, analysis of driving trajectories using a taxi dataset, extraction of app usage patterns from datasets of different countries, and detection of different transportation modes in users everyday activities (bicycle, train, bus, scooters). Interested candidates are expected to analyze big sensor data sets, and create models using machine and deep learning frameworks.
Lõputöö kaitsmise aasta
2019-2020
Juhendaja
Huber Flores
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Bakalaureus, Magister
Märksõnad
#sensor data, #big data, #pervasive data science, #crowdsensing, #crowdsourcing, #machine/deep learning

Kandideerimise kontakt

 
Nimi
Huber Flores
Tel
E-mail
huber.flores@ut.ee
Vaata lähemalt
https://dps.cs.ut.ee/theses.html