57 citations · 126 across the 10 of their papers we have counts for
12 papers
KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks
Mohammed Hassanin
By utilising their adaptive activation functions, Kolmogorov-Arnold Networks (KANs) can be applied in a novel way for the diverse machine learning tasks, including cyber threat det…
Progressive Split Mamba: Effective State Space Modelling for Image Restoration
Mohammed Hassanin, Nour Moustafa, Weijian Deng +1
Image restoration requires simultaneously preserving fine-grained local structures and maintaining long-range spatial coherence. While convolutional networks struggle with limited…
Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers
Mohammed Hassanin, Mohammad Abu Alsheikh, Carlos C. N. Kuhn +3
The rapid adoption of micromobility solutions, particularly two-wheeled vehicles like e-scooters and e-bikes, has created an urgent need for reliable autonomous riding (AR) technol…
A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions
Mohammed Hassanin, Nour Moustafa
The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed abili…
PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks
Mohammed Hassanin, Marwa Keshk, Sara Salim +2
Satellite networks are vital in facilitating communication services for various critical infrastructures. These networks can seamlessly integrate with a diverse array of systems. H…
ICML 2023 Topological Deep Learning Challenge : Design and Results
Mathilde Papillon, Mustafa Hajij, Helen Jenne +53
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan +2
Inspired by the human cognitive system, attention is a mechanism that imitates the human cognitive awareness about specific information, amplifying critical details to focus more o…
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
Mohammed Hassanin, Abdelwahed Khamiss, Mohammed Bennamoun +2
3D human pose estimation can be handled by encoding the geometric dependencies between the body parts and enforcing the kinematic constraints. Recently, Transformer has been adopte…
Learning Discriminative Representations for Multi-Label Image Recognition
Mohammed Hassanin, Ibrahim Radwan, Salman Khan +1
Multi-label recognition is a fundamental, and yet is a challenging task in computer vision. Recently, deep learning models have achieved great progress towards learning discriminat…
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa +2
Deep Neural Network (DNN) models have vulnerabilities related to security concerns, with attackers usually employing complex hacking techniques to expose their structures. Data poi…
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin, Nour Moustafa, Murat Tahtali
Deep learning algorithms have been recently targeted by attackers due to their vulnerability. Several research studies have been conducted to address this issue and build more robu…
Visual Affordance and Function Understanding: A Survey
Mohammed Hassanin, Salman Khan, Murat Tahtali
Nowadays, robots are dominating the manufacturing, entertainment and healthcare industries. Robot vision aims to equip robots with the ability to discover information, understand i…