Angelos Filippatos

According to our database, Angelos Filippatos authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Field-programmable dynamics in a soft magnetic actuator enabling true random number generation and reservoir computing.

Eduardo Sergio Oliveros-mata, Oleksandr Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov

CoRR, November, 2025

2024

Application of a Laser Profile Sensor for the Full-Field Measurement of the Continuous Icing Process of Rotating Blades.

Angelos Filippatos, Simon Schwab, Tino Wollmann, Maik Gude

Sensors, July, 2024

2021

Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks.

Veronika Scholz, Peter Winkler, Andreas Hornig, Maik Gude, Angelos Filippatos

Sensors, 2021

Spatially Resolved Experimental Modal Analysis on High-Speed Composite Rotors Using a Non-Contact, Non-Rotating Sensor.

Julian Lich, Tino Wollmann, Angelos Filippatos, Maik Gude, Jürgen Czarske, Robert Kuschmierz

Sensors, 2021

2019

Modal Identification of Output-Only Systems of Composite Discs Using Zernike Modes and MAC.

Minh Nguyen, Angelos Filippatos, Albert Langkamp, Maik Gude

Sensors, 2019

Development of a Function-Integrative Sleeve for Medical Applications.

Moritz Neubauer, Eric Häntzsche, Christina Pamporaki, Graeme Eisenhofer, Martin Dannemann, Andreas Nocke, Niels Modler, Angelos Filippatos

Sensors, 2019

Design and Testing of a Co-Rotating Vibration Excitation System.

Angelos Filippatos, Tino Wollmann, Minh Nguyen, Pawel Kostka, Martin Dannemann, Albert Langkamp, Loic Salles, Maik Gude

Sensors, 2019

A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback-Leibler Divergence, a Two-Sample Kolmogorov-Smirnov Test and a Statistical Hidden Markov Model.

Angelos Filippatos, Albert Langkamp, Pawel Kostka, Maik Gude

Entropy, 2019