5 papers
snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
Vidya Sudevan, Fakhreddine Zayer, Rizwana Kausar +4
Underwater image dehazing is critical for vision-based marine operations because light scattering and absorption can severely reduce visibility. This paper introduces snnTrans-DHZ,…
Underwater Image Enhancement by Convolutional Spiking Neural Networks
Vidya Sudevan, Fakhreddine Zayer, Rizwana Kausar +4
Underwater image enhancement (UIE) is fundamental for marine applications, including autonomous vision-based navigation. Deep learning methods using convolutional neural networks (…
Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain
Vidya Sudevan, Fakhreddine Zayer, Taimur Hassan +4
This paper delves into the potential of DU-VIO, a dehazing-aided hybrid multi-rate multi-modal Visual-Inertial Odometry (VIO) estimation framework, designed to thrive in the challe…
Hybrid-Neuromorphic Approach for Underwater Robotics Applications: A Conceptual Framework
Vidya Sudevan, Fakhreddine Zayer, Sajid Javed +3
This paper introduces the concept of employing neuromorphic methodologies for task-oriented underwater robotics applications. In contrast to the increasing computational demands of…
In-Memory Computing Architecture for Efficient Hardware Security
Hala Ajmi, Fakhreddine Zayer, Hamdi Belgacem
This paper presents an innovative approach utilizing in-memory computing (IMC) for the development and integration of AES (Advanced Encryption Standard) cipher technique. Our resea…