Abstract: Traditional network management requires manual coding and expertise, making it challenging for non-specialists and experts to handle increasing devices and applications. In response, ...
Abstract: This research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level ...
Experimental Results on HDFS, BGL, Liberty, and Thunderbird datasets. The best results are indicated using bold typeface.
Large language models (LLMs) developed from Generative Pre-trained Transformers (GPTs) have shown potential for performing complex abstraction tasks on unstructured clinical notes. Objective: Here, we ...