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Development and Application of a Fully Automated Chemiluminescence Enzyme Immunoassay for the Detection of Antibodies Against Porcine Circovirus 3 Cap.
Viruses
December 2024
State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Center for Swine Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Porcine circovirus 3 (PCV3) is a small non-enveloped circovirus associated with porcine dermatitis and nephropathy syndrome (PDNS). It has occurred worldwide and poses a serious threat to the pig industry. However, there is no commercially available vaccine.
View Article and Find Full Text PDFA Spatiotemporal Feature-Based Approach for the Detection of Unlicensed Taxis in Urban Areas.
Sensors (Basel)
December 2024
School of Urban Construction and Transportation, Hefei University, Hefei 230601, China.
Unlicensed taxis seriously disrupt the transportation market order, and threaten passenger safety. Therefore, this paper proposes a method for identifying unlicensed taxis based on travel characteristics. First, the vehicle mileage and operation time are calculated using traffic surveillance bayonet data, and variance analysis is applied to identification indicators for unlicensed taxis.
View Article and Find Full Text PDFEnhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models.
Sensors (Basel)
December 2024
Facultad de Ingeniería, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.
Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges due to the variability of results and reliance on operator expertise. This study addresses the development of a system based on machine learning algorithms to detect spp. parasite in direct smear microscopy images, contributing to the diagnosis of cutaneous leishmaniasis.
View Article and Find Full Text PDFAnalysis of Stability and Variability in Sensor Readings from a Vehicle Weigh-in-Motion Station.
Sensors (Basel)
December 2024
APM PRO, Chochołowska 28, 43-346 Bielsko-Biała, Poland.
This study presents a detailed analysis of the stability of weigh-in-motion sensors used at vehicle weighing stations. The objective of this research was a long-term assessment of reading variability, with a particular focus on the sensors' application in automated measurement stations. These investigations constitute a critical component of modern traffic management systems and vehicle overload control.
View Article and Find Full Text PDFPersonalized Clustering for Emotion Recognition Improvement.
Sensors (Basel)
December 2024
Instituto de Estudios de Género, Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Spain.
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (affective computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense, there are applications related to the safety and well-being of people (sexual assaults, gender-based violence, children and elderly abuse, mental health, etc.) that require even more improvements.
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