Abstract: In this paper, a fault entity recognition method based on BERT-HDA-CRF is proposed for the general processing module (GPM) of the aviation processing system (APS). First, to address the ...

A new third-party certification program establishes requirements for HIPAA, 42 CFR Part 2, clinical quality, patient ...

Turkish Sentiment Analysis is a deep learning-based model for classifying Turkish text into sentiment categories (Positive, Negative, Neutral). The model uses a fine-tuned BERT transformer with LoRA ...

Abstract: To address the shortcomings of the BERT-BiLSTM model in processing certain features, this study proposed an improved BERT-CNN-BiLSTM-MH model for topic classification tasks in specific ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

Rice is a crucial food crop, and research into its gene expression regulation holds significant importance for molecular breeding and yield improvement. Enhancers, as key elements regulating the ...

ABSTRACT: In the field of equipment support, the method of generating equipment support sentence vectors based on word vectors is simple and effective, but it ignores the order and dependency ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...

In this research note, we explore the integration of natural language processing (NLP) and web scraping techniques to develop a custom price index for measuring inflation. Using the Harmonized Index ...