| Recognition of drone formation intentions using supervised machine learning A Traboulsi, M Barbeau 2019 international conference on computational science and computational …, 2019 | 10 | 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 | 4 | 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 | 3 | 2021 |
| Adaptable design for long range underwater communications M Barbeau, S Blouin, A Traboulsi Wireless Networks, 1-17, 2022 | 2 | 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 |
| 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 |
| Quadcopter Behaviour Identification A Traboulsi Carleton University, 2022 | | 2022 |
| Software-Defined Underwater Acoustic Modems for Arctic-Like Environments A Traboulsi Carleton University, 2016 | | 2016 |
| 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 |
| DISTRIBUTED COMPUTING COMP 4001 Fall 2013 E Pacheco, E Pluribus | | 2013 |
