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Nr.	Titel	Autor	Jahr
1	Improved Particle Swarm Optimization Algorithm for EIT Image Reconstruction	Kahouli, Oumayma et al.	2023
2	A genetic algorithm for image reconstruction in electrical impedance tomography for gesture recognition	Hafsa, Mariem et al.	2022
3	Enhanced Particle Swarm Optimization Algorithm for EIT Image Reconstruction	Kahouli, Oumayma et al.	2022
4	Multi-Sensor-based Method for Multiple Hard Faults Identification in Complex Wired Networks	Haddad, Dhia et al.	2022
5	Multiple Faults Detection and Location in Bus-shaped Cable Networks by Distributed Time-Domain Reflectometry	Haddad, Dhia et al.	2022
6	Realistic 2D Model of the Human Thorax for Electrical Impedance Tomography	Bader, Oumaima et al.	2022
7	Remote platform for lung monitoring based on Electrical Impedance Tomography measurements	Hafsa, Mariem et al.	2022
8	Soft Fault Characterization for Predictive Maintenance in Complex Cable Structures	Haddad, Dhia et al.	2022
9	3D Image Reconstruction based on Electrical Impedance Tomography Measurements using a Gauss-Newton Algorithm	Hafsa, Mariem et al.	2021
10	Forward Modelling and Image Reconstruction with Post-processing for Human Thorax Imaging based on Electrical Impedance Tomography Measurements	Haddad, Hamdi et al.	2021
11	Identification of Communication Cables Based on S-Parameters and K-Nearest Neighbors Algorithm	Bader, Oumaima* et al.	2021
12	Identification of Communication Cables Based on Scattering Parameters and a Support Vector Machine Algorithm	Bader, Oumaima et al.	2021
13	Modeling Reflections in a Complex Cable Structure with Impedance Mismatches	Haddad, Dhia et al.	2021
14	Pulse-based technique for hard faults identification in complex wire networks	Haddad, Dhia et al.	2021
15	Two-Dimensional Forward Modeling for Human Thorax Imaging Based on Electrical Impedance Tomography	Bader, Oumaima et al.	2021
16	Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms	Hafsa, Mariem et al.	2020

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Anzahl der Ergebnisseiten:	1
Anzahl der Dokumente:	16