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    PRIVATE SECURITY SURVEILLANCE SYSTEM by BENJAMIN KOMMEY, SETH KOTEY, ERIC TUTU, DANIEL OPOKU

    Published 2021-10-01
    Subjects: “…home security, facial recognition, surveillance, motion detection, computer vision…”
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    Article
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    Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment by Tianyi Wang, Takuya Sakamoto, Yu Oshima, Itsuki Iwata, Masaya Kato, Haruto Kobayashi, Manabu Wakuta, Masako Myowa, Tokomo Nishimura, Atsushi Senju

    Published 2025-01-01
    “…Radar data analysis involves the extraction of distinctive features for restlessness detection and classification. Results indicate the successful detection of restlessness using millimeter-wave radar, demonstrating its potential to capture nuanced body movements in a privacy-protected manner. …”
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    Detection Rate of Helicobacter Pylori Infection and Atrophic Gastritis Using Serological Markers “GastroPanel®” Among Employees of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation by A. D. Kaprin, N. S. Sergeeva, S. S. Pirogov, I. I. Alentov, O. К. Yutsevich, V. I. Ryabtseva, G. F. Minibaeva, N. V. Marshutina, T. А. Karmakova

    Published 2024-05-01
    “…Aim: to evaluate, using the “GastroPanel®”, the frequency of detection of H. pylori infection and associated gastric diseases among doctors and medical staff of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Moscow.Materials and methods. …”
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    Determinación del cilindro con defectos en rollizos podados de Pinus Taeda L. y su relación con el rendimiento en madera libre de nudos by H. E. Fassola, J. Fahler, P. Ferrere, D. Alegranza, J. Bernio

    Published 2002-01-01
    “…., cuyos diámetros a la altura de pecho variaban entre 26,4 y 50,7 cm, se determinó que los cilindros con defectos (cd) alcanzaron diámetros entre 10,2 y 28,5 cm. …”
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    Identification of Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii from Raman spectra by Artificial Intelligent Raman Detection and Identification System (AIRDIS) with machine learning by Yu-Tzu Lin, Hsiu-Hsien Lin, Chih-Hao Chen, Kun-Hao Tseng, Pang-Chien Hsu, Ya-Lun Wu, Wei-Cheng Chang, Nai-Shun Liao, Yi-Fan Chou, Chun-Yi Hsu, Yu-Hui Liao, Mao-Wang Ho, Shih-Sheng Chang, Po-Ren Hsueh, Der-Yang Cho

    Published 2025-02-01
    “…Methods: In this study, the artificial intelligent Raman detection and identification system (AIRDIS) was implemented to identify bacterial species, including Staphylococcus aureus (n = 1290), Enterococcus faecium (n = 1020), Klebsiella pneumoniae (n = 1366), Pseudomonas aeruginosa (n = 1067), and Acinetobacter baumannii (n = 811). …”
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    Single-Leg Vertical Hop Test Detects Greater Limb Asymmetries Than Horizontal Hop Tests After Anterior Cruciate Ligament Reconstruction in NCAA Division 1 Collegiate Athletes by Michael J Zarro, Matthew G Stitzlein, Jason S Lee, Robert W Rowland, Vicki L Gray, Jeffrey B Taylor, Sean J Meredith, Jonathan D Packer, Christa M Nelson

    Published 2021-12-01
    “… # Conclusions Individuals after ACLR had lower LSI on the SLVH than on horizontal hop tests and weak to moderate correlations between the tests suggest SLVH detects performance deficits not identified by the horizontal hop tests…”
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