Abstract: Large Language Models (LLMs) hold immense potential for transforming education by automating the generation of personalized learning paths. However, traditional LLMs often suffer from ...
MRMH: Multi-Constraint Routing Optimization Using Hybrid Metaheuristics in Vehicular Ad-Hoc Networks
Abstract: Advancements in Vehicular Ad-Hoc Networks (VANETs) are crucial for the next generation of intelligent transportation systems. Addressing the complexities of routing and clustering in these ...
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