Abstract: It is important to assess environmental impact of intelligent transportation systems, and hence developing a vehicle emission model with high accuracy has been a long-standing topic in ...
Abstract: This study introduces a novel, non-invasive approach to monitor hydration status using single-lead electrocardiogram (ECG) signals. MAX86150 internet of medical things (IoMT) module is ...
This repository collects reference implementations for training and evaluating reinforcement learning agents on multi-agent pathfinding problems. The environments explicitly support deadlocks so that ...
The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...