Mohamed Nazih Omri

Decoding the Giants: a systematic taxonomy and empirical analysis of large language model architectures, training, and applications

This comprehensive survey provides an in-depth analysis of modern LLMs, with a systematic comparison of cutting-edge proprietary and open-source architectures including DeepSeek, GPT-4, Gemini, LLaMA, and Claude.

Task scheduling and load balancing in cloud, fog, and edge computing systems: a survey

A comprehensive survey on blockchain for the internet of vehicles: security, scalability, and future research directions

This paper investigates the integration of blockchain and the IoV, addressing key findings and challenges associated with blockchain in the IoV domain while answering the study’s research questions.

A comprehensive survey on blockchain for the internet of vehicles: security, scalability, and future research directions

Efficient EV Charging Allocation in Fog Computing via Committee-Based Surrogate-Assisted PSO

This paper introduces the Committee-Based Active Learning Surrogate-Assisted Particle Swarm Optimization (QBC-SA-PSO) framework, which combines multiple surrogate models with a Query by Committee (QBC) strategy to intelligently approximate fitness evaluations.