SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework. [PDF]
J ImagingAutomated anomaly detection in transportation infrastructure is essential for enhancing safety and reducing the operational costs associated with manual inspection protocols.
Rathee M, Bačić B, Doborjeh M.
europepmc +2 more sources
High and low pathogenicity avian influenza virus discrimination and prediction based on volatile organic compounds signature by SIFT-MS: a proof-of-concept study. [PDF]
Sci RepHigh and low pathogenicity avian influenza viruses (HPAIV, LPAIV) are the primary causes of poultry diseases worldwide. HPAIV and LPAIV constitute a major threat to the global poultry industry.
Filaire F +6 more
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Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS) as an Alternative to Gas Chromatography/Mass Spectrometry (GC/MS) for the Analysis of Cyclohexanone and Cyclohexanol in Plasma. [PDF]
ACS Omega, 2021 Hastie C +5 more
europepmc +2 more sources
Formaldehyde and glyoxal measurement deploying a selected ion flow tube mass spectrometer (SIFT-MS) [PDF]
Atmospheric Measurement Techniques, 2022 Formaldehyde (FM) and glyoxal (GL) are important atmospheric species of indoor and outdoor environments. They are either directly emitted in the atmosphere, or they are formed through the oxidation of organic compounds by indoor and/or outdoor ...
A. G. Zogka, M. N. Romanias, F. Thevenet
doaj +1 more source
Characteristics of concentration distribution of volatile organic compounds in Ulsan using SIFT-MS [PDF]
대한환경공학회지, 2022 Objectives Hazardous air pollutants emitted from industrial complexes also affect neighboring residential areas, so it is necessary to manage the emission facilities of the workplace.
Bong-gwan Yu +2 more
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Prediction and detection of human epileptic seizures based on SIFT-MS chemometric data. [PDF]
Sci Rep, 2020 AbstractAlthough epilepsy is considered a public health issue, the burden imposed by the unpredictability of seizures is mainly borne by the patients. Predicting seizures based on electroencephalography has had mixed success, and the idiosyncratic character of epilepsy makes a single method of detection or prediction for all patients almost impossible.
Catala A +9 more
europepmc +6 more sources
SIFT-MS optimization for atmospheric trace gas measurements at varying humidity [PDF]
Atmospheric Measurement Techniques, 2020 As direct real-time analysis techniques, selective ion flow tube mass spectrometry (SIFT-MS) and proton-transfer reaction mass spectrometry (PTR-MS) provide online measurement of volatile organic compounds (VOCs).
A.-S. Lehnert +5 more
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Pharmaceutical Residual Solvent Analysis: A Comparison of GC-FID and SIFT-MS Performance
AppliedChem, 2023 Residual solvents in pharmaceutical excipients, active pharmaceutical ingredients (APIs), and finished products are usually analyzed using gas chromatography (GC)-based techniques according to a pharmacopeial monograph, such as the United States ...
Mark J. Perkins +3 more
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IVES Technical Reviews, 2023 Over the last decade, there have been renewed efforts into wine grape breeding within the research community. Quick characterisation by phenotyping of quality traits, including aroma composition, remains challenging.
Thomas Baerenzung dit Baron +5 more
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Classification Algorithms for SIFT-MS Medical Diagnosis [PDF]
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007 Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS) is an analytical technique for the real-time quantification of trace gases in air or breath samples. The SIFT-MS system can potentially offer unique capability in the early and rapid detection of a wide variety of diseases, infectious bacteria and patient conditions, by using a classifier to ...
K, Moorhead +8 more
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