This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
Abstract: Object and face detection are important tasks in computer vision that have numerous applications, such as surveillance, image recognition, and autonomous driving. Artificial intelligence (AI ...
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