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Optimizing Air Pollution Prediction in Urban Environments using a Hybrid RNN-PBO Model with IoT Data
Abstract: This research study proposes a novel hybrid model based on Recurrent Neural Network (RNN) combinatorial with Polar Bear Optimization (PBO) to improve air pollution prediction and control ...
Abstract: With the gradual application of reinforcement learning (RL), safety has emerged as a paramount concern. This article presents a novel data-model hybrid-driven safe RL (SRL) scheme to address ...
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