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Filters: Author is Vilmos Bilicki [Clear All Filters]
Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Lecture Notes in Computer Science. vol 11534(Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019). 2019.
Smartphone-based Data Collection with Stunner Using Crowdsourcing: Lessons Learnt while Cleaning the Data. IARIA Conference. Best paper award. Twelfth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2017). :28-35.. 2017.
Smartphone-based data collection with stunner, the reality of peer-to-peer connectivity and web real-time communications using crowdsourcing: lessons learnt while cleaning the data. International Journal On Advances in Software. 11(1-2):120-130.. 2018.
A method for tracking of motion of objects associated with wireless communication devices within a predefined area.. 2017.
Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest. 2018 Computing in Cardiology Conference (CinC).. 2018.
Defining and Understanding Smartphone Churn over the Internet: a Measurement Study. 14th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P. :1-5.. 2014.
Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera. Journal of Healthcare Engineering. vol. 2018:15pages.. 2018.