The transformative potential of MR is highlighted at all stages of the space operations timeline, including pre-launch and launch planning, in-mission execution, and astronaut training, by improving space operations through greater safety, efficiency, and collaboration.
A transformer-based fully fine-tuned XLNet model with 117M parameters is proposed, designed to recognize and extract named entities form general domain data and can be used for content recommendation, information retrieval in Q&A systems.
Parth Goel, A. Bhatt, Biswajeet Pradhan et al.· PeerJ Computer Science· 0 citations