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To segregate time-oriented behavioural data and the semantic meaning of signs, we partitioned the dataset into quarters. Within each segmentation, we computed features based on rotation type, distance from the palm, angle types derived from fingertips and finger joints, as well as angles and dista...
To segregate time-oriented behavioural data and the semantic meaning of signs, we partitioned the dataset into quarters. Within each segmentation, we computed features based on rotation type, distance from the palm, angle types derived from fingertips and finger joints, as well as angles and dista...
A pre-trained language model created especially for Arabic is called BERT-base-arabertv02. It was founded based on robust BERT architecture, which makes use of the transformer-based embedding method to comprehend the meaning of words in a phrase. Self-attention, positional encoding, and a multi...