Pipeline networks play a key role in the efficient transportation of oil and the overall economy of the oil industry. However, pipelines are vulnerable to the risk of oil leakage, which can lead to spilling, loss of product, pollution, loss of lives, and loss of the source of livelihood. This research aims at detecting oil leakages. The Trans-Niger Pipeline (TNP),
Introduction: The increasing urbanization across the world necessitate efficient traffic management especially in the emerging economies. This paper presents an intelligent framework aimed at enhancing traffic signal management within complex road networks through the creation and evaluation of a multi-agent reinforcement learning (MARL) framework.Methods: The research explored how Reinforcement Learning (RL) algorithms can be employed to optimize the flow of
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