We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...
Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
Abstract: Text summarization, which is the process of making a brief summary of text while preserving its overall meaning, is an important problem in Natural Language Processing (NLP). Automatic ...
GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
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: An approach for generating short and precise summaries for long text documents is proposed. Lately, the size of information on the internet is increasing. It has become tough for the users ...
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