Abstract: Accurately assessing mental states—such as mental workload and fatigue— is crucial for ensuring the reliability and effectiveness of brain-computer interface (BCI)-based applications.
Our method is model-agnostic, meaning it operates independently of the tracking models used to generate initial data. It only requires the tracking results from these models in text file MOT format ...
Abstract: In recent years, GPUs have become crucial tools in high performance computing. To understand the evolution of these devices, we conducted a study analyzing hardware trends in GPUs. This ...
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