Oct 5, 2024 · The goal is to combine AI/ML models with eDiscovery protocols and tools to create a high-level reference model for considering cyber discovery stages and tasks.

Oct 2, 2024 · Deep learning-based approaches build off of previous statistical methods to integrate multi-omics data by enabling the modeling of complex and nonlinear ...

Sep 24, 2024 · This graphic further examines the integration layer functions of Discovery,. Identity Management, Data Exchange, Transport, and Analytics and how one applies ...

Oct 1, 2024 · In this context, we offer our view on data spaces by presenting a systematic literature survey, a description of the components needed to build them, how they ...

Sep 24, 2024 · Using computational methods to transform both structured and unstructured data into actionable knowledge; and to understand and enable humans to explore and ...

6 days ago · The integration of data-driven methods allows researchers to handle complex datasets, such as those generated from high-throughput crystallography experiments.

Sep 16, 2024 · Pennsieve supports complex multimodal datasets and provides tools for data visualization and analyses. It takes a comprehensive approach to data integration ...

Sep 20, 2024 · In this work, we develop a data-driven framework to uncover mechanistic models of dynamics directly from time-resolved CXS measurements without solving the ...

Sep 14, 2024 · Discover a solution that is revolutionizing tactical C2, offering unprecedented multidomain integration by seamlessly fusing sensor and datalink information.

Sep 19, 2024 · The priority is establishing a solid data foundation or knowledge graph from which we can develop highly differentiated outputs.