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Статті в журналах з теми "Trains – Conduite – Surveillance":
Lamhaut, L., C. M. Nivet, C. Dagron, L. Nace, F. Braun, and P. Carli. "Retour d’expérience des évacuations par train à grande vitesse de patients en syndrome de détresse respiratoire aiguë sur infection à Covid-19 : les missions Chardon." Annales françaises de médecine d’urgence 10, no. 4-5 (September 2020): 288–97. http://dx.doi.org/10.3166/afmu-2020-0275.
Andrejevic, Mark, Hugh Davies, Ruth DeSouza, Larissa Hjorth, and Ingrid Richardson. "Situating ‘careful surveillance’." International Journal of Cultural Studies 24, no. 4 (March 9, 2021): 567–83. http://dx.doi.org/10.1177/1367877921997450.
Wang, Kailao, Jinming Pan, Xiuqin Rao, Yefeng Yang, Fujie Wang, Rongjin Zheng, and Yibin Ying. "An Image-Assisted Rod-Platform Weighing System for Weight Information Sampling of Broilers." Transactions of the ASABE 61, no. 2 (2018): 631–40. http://dx.doi.org/10.13031/trans.12312.
Nora, Hastika Yanti, Muhammad Chaerul Latief, and Yuliyanto Budi Setiawan. "FUNGSI KOMUNIKASI MASSA DALAM TELEVISI (Studi Kasus Program Acara ’Bukan Empat Mata’ di TRANS 7)." Jurnal The Messenger 2, no. 1 (March 24, 2016): 10. http://dx.doi.org/10.26623/themessenger.v2i1.278.
Salzberg, Navit T., Kasthuri Sivalogan, Quique Bassat, Allan W. Taylor, Sunday Adedini, Shams El Arifeen, Nega Assefa, et al. "Mortality Surveillance Methods to Identify and Characterize Deaths in Child Health and Mortality Prevention Surveillance Network Sites." Clinical Infectious Diseases 69, Supplement_4 (October 9, 2019): S262—S273. http://dx.doi.org/10.1093/cid/ciz599.
Santamaria, Amilcare, Pierfrancesco Raimondo, Mauro Tropea, Floriano De Rango, and Carmine Aiello. "An IoT Surveillance System Based on a Decentralised Architecture." Sensors 19, no. 6 (March 26, 2019): 1469. http://dx.doi.org/10.3390/s19061469.
Fernández, Jessica, José M. Cañas, Vanessa Fernández, and Sergio Paniego. "Robust Real-Time Traffic Surveillance with Deep Learning." Computational Intelligence and Neuroscience 2021 (December 27, 2021): 1–18. http://dx.doi.org/10.1155/2021/4632353.
Wan, Kim Sui, Peter Seah Keng Tok, Kishwen Kanna Yoga Ratnam, Nuraini Aziz, Marzuki Isahak, Rafdzah Ahmad Zaki, Nik Daliana Nik Farid, et al. "Implementation of a COVID-19 surveillance programme for healthcare workers in a teaching hospital in an upper-middle-income country." PLOS ONE 16, no. 4 (April 14, 2021): e0249394. http://dx.doi.org/10.1371/journal.pone.0249394.
Maytin, Lauren, Jason Maytin, Priya Agarwal, Anna Krenitsky, JoAnn Krenitsky, and Robert S. Epstein. "Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States." JMIR Formative Research 5, no. 1 (January 8, 2021): e23000. http://dx.doi.org/10.2196/23000.
Maity, Sayan, Mohamed Abdel-Mottaleb, and Shihab S. Asfour. "Multimodal Low Resolution Face and Frontal Gait Recognition from Surveillance Video." Electronics 10, no. 9 (April 24, 2021): 1013. http://dx.doi.org/10.3390/electronics10091013.
Дисертації з теми "Trains – Conduite – Surveillance":
Sekak, Fatima. "Microwave radar techniques and dedicated signal processing for Vital Signs measurement." Thesis, Université de Lille (2018-2021), 2021. https://pepite-depot.univ-lille.fr/LIBRE/EDENGSYS/2021/2021LILUN033.pdf.
In the context of securing transportation systems, short-range monitoring of people's activity, in particular the driver's activity in a vehicle, is a major issue in the improvement of the driver assistance system. The application targeted in this work concerns mainly the railway domain.Respiratory and heart rates of the driver are key indicators for the evaluation of the physiological state. Conventional methods of measuring these vital signs rely on sensors operating in direct contact with the skin. Therefore, the intrusive character of these solutions is not suited for the transportation domain, especially because of the induced discomfort. In this work, a microwave radar solution operating at low power is proposed for the continuous measurement of respiratory and cardiac activity signals. In particular, physiological signals (heartbeat, mechanical movement of the rib cage) are indicators of human activity that can be detected at a distance (up to ten meters) using radiated microwave electromagnetic waves.Although the literature shows a growing interest in the development of radar techniques dedicated to the surveillance of people, there is no robust, sensitive and accurate commercial device available to date. A detailed analysis of the electrical and geometrical parameters of the radar technique is proposed in this work in order to identify the sources of uncertainties, to define the optimal parameters, to validate experimentally the proposed solution. An original signal processing, based on the cyclostationary approach, is implemented in order to extract the parameters of interest in reference or disturbed measurement environments. The proposed hardware solutions associated with an optimal signal processing allow to foresee radar architectures adapted to non-laboratory contingencies
Dugast, Jérôme. "Essais en Microstructure des Marchés Financiers." Phd thesis, Jouy-en Josas, HEC, 2013. http://pastel.archives-ouvertes.fr/pastel-00940976.
Книги з теми "Trains – Conduite – Surveillance":
Methodology for Evaluating National Arboviral Disease Prevention and Control Strategies in the Americas. Pan American Health Organization, 2022. http://dx.doi.org/10.37774/9789275124413.
Частини книг з теми "Trains – Conduite – Surveillance":
Lu, Jia, and Wei Qi Yan. "Comparative Evaluations of Human Behavior Recognition Using Deep Learning." In Handbook of Research on Multimedia Cyber Security, 176–89. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2701-6.ch009.
Тези доповідей конференцій з теми "Trains – Conduite – Surveillance":
Tilaar, Revy, Asmarafia Asmarafia, Kurniati Kurniati, Ismi Maudilah Hardianti, and Rossi Sanusi. "Development of Surveillance for Stunting in Parigi-Moutong, Central Sulawesi." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.18.
Rooks, Tyler F., Andrea S. Dargie, and Valeta Carol Chancey. "Machine Learning Classification of Head Impact Sensor Data." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-12173.
Mostoflei, Florin. "Forced vital capacity & oxygen consumption screening at students." In Fourth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/head18.2018.8063.
Rothbaum, David, and Nabil Debsi. "Improving Rail Connectivity Through 3GPP Technology." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2342.
Moreira, Letícia Karolina, Marcelo Romero, and Manassés Ribeiro. "Image Super Resolution Using Generative Adversarial Networks and non-Paired Strategy." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-138.