Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Research Publications


Publications for Mohamad Saada

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Journal Articles

Wang, J, Hua, R, Jiang, X, Song, K, Meng, Q, Saada, M (2024) Selective feature block and joint IoU loss for object detection, Transactions of the Institute of Measurement and Control, ISSN: 0142-3312. DOI: 10.1177/01423312241261087.

Jiang, X, Wang, J, Meng, Q, Saada, M, Cai, H (2023) An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network, Neural Computing and Applications, 35(15), pp.11141-11159, ISSN: 0941-0643. DOI: 10.1007/s00521-023-08290-w.

Saada, M, Kouppas, C, Li, B, Meng, Q (2022) A multi-object tracker using dynamic Bayesian networks and a residual neural network based similarity estimator, Computer Vision and Image Understanding, 225, 103569, ISSN: 1077-3142. DOI: 10.1016/j.cviu.2022.103569.

Wang, J, Jiang, X, Meng, Q, Saada, M, Cai, H (2022) Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM, Applied Intelligence, 52(14), pp.16398-16416, ISSN: 0924-669X. DOI: 10.1007/s10489-022-03264-2.

Kouppas, C, Saada, M, Meng, Q, King, M, Majoe, D (2021) Hybrid autonomous controller for bipedal robot balance with deep reinforcement learning and pattern generators, Robotics and Autonomous Systems, 146, 103891, ISSN: 0921-8890. DOI: 10.1016/j.robot.2021.103891.

Wang, J, Meng, Q, Shang, P, Saada, M (2021) Road surface real-time detection based on Raspberry Pi and recurrent neural networks, Transactions of the Institute of Measurement and Control, 43(11), pp.2540-2550, ISSN: 0142-3312. DOI: 10.1177/01423312211003372.

Saada, M, Meng, Q, Huang, T (2014) A novel approach for pilot error detection using Dynamic Bayesian Networks, Cognitive Neurodynamics, 8(3), pp.227-238, ISSN: 1871-4080. DOI: 10.1007/s11571-013-9278-5.

Saada, M, Meng, Q, Huang, T (2014) A novel approach for pilot error detection using Dynamic Bayesian Networks, Cognitive Neurodynamics, 8(3), pp.227-238, ISSN: 1871-4080. DOI: 10.1007/s11571-013-9278-5.



Conferences

Davies, L, Li, B, Saada, M, Sølvsten, S, Meng, Q (2024) Occupancy grid artefact removal and error correction using GANs. In 2024 4th International Conference on Computer, Control and Robotics (ICCCR); 2024 4th International Conference on Computer, Control and Robotics (ICCCR), Shanghai, China.

Kouppas, C, Saada, M, Meng, Q, King, M, Majoe, D (2020) Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions. In International Joint Conference on Neural Networks (IJCNN), Proceedings of the International Joint Conference on Neural Networks, Glasgow UK,ISBN: 9781728169262. DOI: 10.1109/IJCNN48605.2020.9207029.

Saada, M and Meng, Q (2012) An efficient algorithm for anomaly detection in a flight system using dynamic Bayesian networks. In Huang, T, Zeng, Z, Li, C, Leung, C-S (ed) 19th International Conference on Neural Information Processing (ICONIP 2012); Neural Information Processing, Doha, Qatar, pp.620-628, ISBN: 9783642344862. DOI: 10.1007/978-3-642-34487-9_75.



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