Author

Mohamed S. Sawah

2 papers indexed here

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Open access Sep 2026

Multistage advanced persistent threat detection and malware attribution using Mamba state space models with Kolmogorov Arnold networks

MambaKAN-APT is a deep learning framework that synergizes Kolmogorov–Arnold Networks (KAN) with Mamba Selective State Space Models (SSMs) for multi-stage APT attack detection and malware family attribution and attains the highest mean macro-F1 on the DAPT 2020 task.

A. M. Abushariah, Mohammed Tawfik, Belal Al-sellami et al. · Scientific Reports · 0 citations

Open access 2026

Enhanced hybrid residual learning framework for robust wind turbine power prediction using machine learning

This research work captures the variation in wind resource variability by implementing advanced machine learning models for short-term power forecasting using SCADA data using a fresh framework to focus on parameters such as aerodynamic behavior, temporal patterns, and overall regime.

Mohammad Y. Mhawiash, B. Khassawneh, Kamal Alieyan et al. · International Journal of Dat... · 0 citations