Abstract: Anomalous measurements bring huge challenges for existing learning-based distribution system optimization methods. Although several graphical learning-based methods have been developed to ...
Eevaluation of the Qwen-Arabic language model (1.5B parameters) on the ArabicMMLU benchmark. The model demonstrates strong parameter efficiency while maintaining competitive performance across various ...
Abstract: Electroencephalography (EEG) emotion recognition is critical in human-computer interface applications. EEG is a prevalent tool for discerning various emotional states. However, EEG is ...
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