akademische Mitarbeiterin
Priscile Suawa Fogou
Verfügungsgebäude 1C, Raum 1.14
T: +49 (0) 355 69
F: +49 (0) 355 69 2027
Priscile.SuawaFogou(at)b-tu.de
Education
- (2020-Now) PhD Student BTU Cottbus-Senftenberg, Cottbus, Deutschland.
- (2014-2016) M.Sc. Universität Yaounde I, Yaounde, Kamerun.
- (2011-2014) B.Sc. Universität Yaounde I, Yaounde, Kamerun.
Experience
(Februar 2017 - Dezember 2019) Programmierer Analyst und IT-Forscher bei CAMERTRONIX Sarl, Yaounde, Kamerun.
Research interests
- Künstliche Intelligenz
- Vorausschauende Wartung
- Elastische Systeme
- Echtzeit-Datenanalyse
- Sensordatenfusion
Publications
Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion
- Author(s)
- Suawa Fogou, Priscile, Meisel, Tenia, Jongmanns, Marcel, Hübner, Michael, Reichenbach, Marc
- Type
- Scientific Article ref.
- Year of publication
- 2022
- Source
- Sensors
- Volume
- 22
- Issue/Journal number
- 9
- ISSN
- 1424-8220
- DOI
- https://doi.org/10.3390/s22093516
A Survey on Machine Learning Approaches to ECG Processing
- Author(s)
- Hoffmann, Javier Eduardo, Mahmood, Safdar, Suawa Fogou, Priscile, George, Nevin, Raha, Solaiman, Safi, Sabur, Schmailzl, Kurt JG, Brandalero, Marcelo, Hübner, Michael
- Type
- Conference Proceeding refering
- Year of publication
- 2020
- Source
- 2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 23-25 Sept. 2020, Poznan, Poland
- ISBN
- 978-83-62065-39-4
- 978-83-62065-37-0
- 978-1-7281-7746-5
- URL
- https://ieeexplore.ieee.org/document/9241283