Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...
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: The deadbeat predictive current control (DPCC) method for surface mounted magnet synchronous motor predicts the current by an accurate model, which suffers from parameter mismatch and ...
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