6 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…
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…