4 papers
Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
Ali Safa, Farida Mohsen, Ali Al-Zawqari
Spiking Neural Networks (SNNs) offer biologically inspired, energy-efficient alternatives to traditional Deep Neural Networks (DNNs) for real-time control systems. However, their t…
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry
Farida Mohsen, Ali Safa
Accurate rotational odometry is crucial for autonomous robotic systems, particularly for small, power-constrained platforms such as drones and mobile robots. This study introduces…
Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
Farida Mohsen, Samir Belhaouari, Zubair Shah
Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients' vision and overall health. Early detection and accurate grading are essential to…
Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors
Farida Mohsen, Zubair Shah
Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early and accurate risk prediction. This study presents ECG-DiaNet, a multimodal deep l…