: Large Language Model (LLM) agents increasingly extend their capabilities by integrating third-party tools, most prominently via the Model Context Protocol (MCP), and by loading reusable skill files that inject procedural knowledge at runtime. This composability has created a new and largely unguarded software supply...
Salam R. Al-E'mari, Yousef K. Sanjalawe, M. Almiani et al.· Computers, Materials & C...· 0 citations
These findings challenge the prevailing view of deep learning dominance in time-series forecasting and establish new accuracy benchmarks for electricity load prediction.
Ahmed Rashed Almesmari, M. Al-Betar, S. Makhadmeh· Journal of Advances in Infor...· 0 citations
MEPO-SLM is presented, a framework that reformulates prompt engineering for SLMs as a four-objective Pareto problem over task inaccuracy, and Phi-3-mini and Gemma-2B on English TriviaQA and Arabic medical QA, and TinyLlama-1.1B on TriviaQA only are evaluated.
Yousef K. Sanjalawe, Salam R. Al-E'mari, S. Makhadmeh· Evolutionary Intelligence· 0 citations
A Digital Twin (DT)-enabled IDS framework that combines deep learning with real-time process simulation is proposed that consistently outperforms the evaluated representative baseline IDS methods under identical experimental conditions.
Yousef K. Sanjalawe, S. Makhadmeh, Salam R. Al-E’mari et al.· Cluster Computing· 0 citations
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