Mohamad Saada

Orcid: 0000-0001-9235-6028

According to our database1, Mohamad Saada authored at least 13 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MonoPRIO: Adaptive Prior Conditioning for Unified Monocular 3D Object Detection.
CoRR, May, 2026

Transformation & Translation Occupancy Grid Mapping: 2-dimensional deep learning refined SLAM.
Robotics Auton. Syst., 2026

2025
GAN-SLAM: Real-Time GAN Aided Floor Plan Creation Through SLAM.
CoRR, April, 2025

High-performance inference graph convolutional networks for skeleton-based action recognition.
Neurocomputing, 2025

Smart Railway Passenger Counting and Information Systems Powered by Real-Time Embedded AI and Computer Vision.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

2024
MGSAN: multimodal graph self-attention network for skeleton-based action recognition.
Multim. Syst., December, 2024

2023
An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network.
Neural Comput. Appl., May, 2023

2022
A multi-object tracker using dynamic Bayesian networks and a residual neural network based similarity estimator.
Comput. Vis. Image Underst., 2022

Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM.
Appl. Intell., 2022

2021
Road surface real-time detection based on Raspberry Pi and recurrent neural networks.
Trans. Inst. Meas. Control, 2021

Hybrid autonomous controller for bipedal robot balance with deep reinforcement learning and pattern generators.
Robotics Auton. Syst., 2021

2020
Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2012
An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012


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