A feature summarization approach, leveraging TF-IDF and K-means clustering, was employed to extract and distill key radiological findings related to three diseases. Simultaneously, the hybrid RAG ...

Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Abstract: The growing volume of textual data across various domains has led to the increasing demand for efficient and accurate text processing systems. This research proposes a transformer-based ...

Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...

Gallagher, S., Rallapalli, S., and Brooks, T., 2025: Evaluating LLMs for Text Summarization: An Introduction. Carnegie Mellon University, Software Engineering ...

In today’s fast-paced world, managing and processing large volumes of text can be overwhelming. Whether you’re dealing with lengthy articles, reports, or important documents, summarizing them quickly ...