27 citations · 32 across the 18 of their papers we have counts for
7 papers · 1 filter
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization
Lyes Saad Saoud, Lakmal Seneviratne, Irfan Hussain
Underwater robotic vision encounters significant challenges, necessitating advanced solutions to enhance performance and adaptability. This paper presents MARS (Multi-Scale Adaptiv…
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
Lyes Saad Saoud, Zhenwei Niu, Atif Sultan +2
This research presents ADOD, a novel approach to address domain generalization in underwater object detection. Our method enhances the model's ability to generalize across diverse…
Marine: Design and Implementation of Unmanned Surface Vessel for Vision Guided Navigation
Muhayy Ud Din, Ahmed Humais, Waseem Akram +5
Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, envir…
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control
Lyes Saad Saoud, Irfan Hussain
In the realm of exoskeleton control, achieving precise control poses challenges due to the mechanical delay of exoskeletons. To address this, incorporating future gait trajectories…
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
Zhenwei Niu, Lyes Saad Saoud, Irfan Hussain
Ensuring safety is paramount in the field of collaborative robotics to mitigate the risks of human injury and environmental damage. Apart from collision avoidance, it is crucial fo…
Autonomous Underwater Robotic System for Aquaculture Applications
Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne +1
Aquaculture is a thriving food-producing sector producing over half of the global fish consumption. However, these aquafarms pose significant challenges such as biofouling, vegetat…
Improving Knee Joint Angle Prediction through Dynamic Contextual Focus and Gated Linear Units
Lyes Saad Saoud, Humaid Ibrahim, Ahmad Aljarah +1
Accurate knee joint angle prediction is crucial for biomechanical analysis and rehabilitation. In this study, we introduce FocalGatedNet, a novel deep learning model that incorpora…