Our modular framework generates individual summaries followed by an aggregated summary to answer medical queries from large amounts of user-generated social media data in an efficient manner. We ...

ABSTRACT: Knowledge Graph (KG) and neural network (NN) based Question-answering (QA) systems have evolved into the realm of intelligent information retrieval as they have been able to reach a high ...

Abstract: Ontological engineering applies ontologies to a wide range of purposes. A specific ontology domain has been created laying out multiple aspects of counter unmanned aerial systems (UAS), ...

Abstract: New and existing metadata terms were contextualized around learning and bundled to address many common use cases of metadata, resulting in the formation of this standard. A series of classes ...

The agricultural water footprint (WF) is essential for understanding environmental impacts and managing water resources, especially in water-scarce regions. In this study, an integrated framework for ...

We present a general framework for compressing unstructured scientific data with known local connectivity. A common application is simulation data defined on arbitrary finite element meshes. The ...

Recent advancements in medical multimodal large language models (MLLMs) have shown significant progress in medical decision-making. However, many models, such as Med-Flamingo and LLaVA-Med, are ...

Brands today live in a multi-platform world. In this article, you will learn: When Facebook launched, many expected the social media platform would compete with Google in search. Since then, many ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...