Introduction: Plant phenotyping is a critical area in agricultural research that focuses on assessing plant traits quantitatively to enhance productivity and sustainability. While traditional methods ...

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 ...

Add a description, image, and links to the text-summarization-a topic page so that developers can more easily learn about it.

Sometime in the 1960s, hypertext pioneer Ted Nelson envisioned deep linking to specific pieces of text as a core feature of his proposed Project Xanadu system. (My first exposure to Xanadu came in the ...

In today’s fast-paced digital world, extracting text from images quickly and efficiently can save time and effort. Whether you’re copying text from a screenshot, PDF, or any on-screen content, Windows ...

The purpose of this study was to apply deep learning to music perception education. Music perception therapy for autistic children using gesture interactive robots based on the concept of educational ...