Shojaei Khatouni, SohrabSohrabShojaei KhatouniEwald, Jan Christian EliJan Christian EliEwaldTrieu, Hoc KhiemHoc KhiemTrieu2021-02-222021-02-222020Sensor and Measurement Science International (SMSI 2020)http://hdl.handle.net/11420/8897Using a test rig, two different fiber bragg grating sensors were exposed to temperature changes, compressive loads and bendings. The light spectrum reflected by them was analyzed with respect to these three effects, utilizing ma-chine learning algorithms. The results show that the models of the sensors are suitable for detecting and differenti-ating the effects of bending and temperature changes with sufficient accuracyenApplication of Machine Learning Algorithms for the Analysis of an Optical Fiber Sensor for Use in Endovascular Coiling of Intracranial AneurysmsConference Paper10.5162/SMSI2020/D2.5Conference Paper