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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

13th International Conference on Advanced Materials and Devices (ICAMD2023) | Industry Events

13th International Conference on Advanced Materials and Devices (ICAMD2023) | Industry Events
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Cheju doSouth koreaPhysics divisionInternational conference on advanced materialsKorean physical societyRamada plaza jeju hotelInternational conferenceAdvanced materialsKorean physical

Detecting a Sample Using its Spectral Fingerprint

One of the promising applications of terahertz waves is non-destructive testing. According to research findings, terahertz time-domain attenuated total reflection spectroscopy could be used to non-destructively detect samples packaged in a thin polyethylene bag based on their spectral fingerprints.

United statesJapan generalLaura thomsonLaura thomsonmayInternational journal of pharmacy practiceAttenuation properties of woodBar code technologyPhotonics technology lettersJournal of the korean physical societyTerahertz dielectric properties of polymersJournal of the optical society americaImage creditNon destructive identificationTerahertz spectroscopyModern techniquesPhotonics reviews