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Ionospheric Anomalies: Detecting Earthquake Signatures Using GNSS and AI - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

This study identifies the feasibility of leveraging deep learning anomaly detection to identify event-driven traveling ionospheric disturbances (TIDs). DR. JIHYE PARK, FIONA LUHRMANN, DR. WENG-KEEN WONG, OREGON STATE UNIVERSITY Ionospheric responses to various geophysical events have been studi

United kingdomUnited statesNorth koreaAlaska peninsulaAleutian islandsSakhalinskaya oblastGulf of alaskaNorth koreanFiona luhrmannPacific oceanInstitute of navigationAtmospheric administrationAdvances in space researchArtificial intelligence at oregon state universityUniversity of british columbiaCarnegie mellon university

Assessment of a non-invasive brain pulse monitor

Intracranial pressure monitoring requires placing a hole in the skull through which an invasive pressure monitor is inserted into the brain

Integra lifesciencesBarry dixonActa neurochirBiomed engSiddiqf duralLe rouxRobert tranJacobsen teixeiraPty ltdResearch future fund of the australian governmentKeylead healthBrain trauma foundationBiomedtech horizons programHealth nmoData sharingMedical research future fund

Nanostructure of the Anodic and Nanomaterials Nanoparticles in Polyelectrolyte Multilayer-by-Layer (LbL) Films

Nanostructure of the Anodic and Nanomaterials Nanoparticles in Polyelectrolyte Multilayer-by-Layer (LbL) Films
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