Recognition of drone formation intentions using supervised machine learning A Traboulsi, M Barbeau 2019 international conference on computational science and computational …, 2019 | 11 | 2019 |
Performance of an underwater communication system in a sea trial done in the Canadian arctic M Barbeau, S Blouin, A Traboulsi 2021 IEEE International Mediterranean Conference on Communications and …, 2021 | 6 | 2021 |
Identification of Drone Payload Using Mel-Frequency Cepstral Coefficients and LSTM Neural Networks A Traboulsi, M Barbeau Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1, 402-412, 2021 | 4 | 2021 |
Adaptable design for long range underwater communications M Barbeau, S Blouin, A Traboulsi Wireless Networks, 1-17, 2022 | 3 | 2022 |
A Reverse Turing Like Test for Quad-copters A Traboulsi, M Barbeau 2021 17th International Conference on Distributed Computing in Sensor …, 2021 | 2 | 2021 |
Quadcopter Behaviour Identification A Traboulsi Carleton University, 2022 | 1 | 2022 |
Frame design for adaptability in long-range underwater communication M Barbeau, S Blouin, A Traboulsi International Conference on Ad Hoc Networks, 130-143, 2021 | 1 | 2021 |
Software-Defined Underwater Acoustic Modems for Arctic-Like Environments A Traboulsi Carleton University, 2016 | 1 | 2016 |
Analysis of Experimental Data Fusion Schemes for Underwater Communication over a Hydrophone Array A Traboulsi, M Barbeau, S Blouin 2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2023 | | 2023 |
LITERATURE REVIEW:—Parallel Computing Approach of the Reverse-Delete Algorithm for finding Minimum Bottleneck Spanning Tree and Minimum Spanning Trees— A Traboulsi | | 2015 |
Bottleneck Spanning Trees A Traboulsi | | 2014 |