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Spatio-temporal envolutional graph neural network for traffic flow prediction in UAV-based urban traffic monitoring system.

• Authors : Ma W; School of Computer and Control Engineering, Yantai University, Yantai, 264005, China. .; Chu Z

• Source: Scientific reports [Sci Rep] 2024 Nov 05; Vol. 14 (1), pp. 26800. Date of Electronic Publication: 2024 Nov 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Automated traffic monitoring of neurosurgical operating room.

• Authors : Schafer M; University of Pittsburgh Medical Center Mercy Hospital, Infection Prevention, Surgery and Anesthesia Departments, Pittsburgh, PA; University of Pittsburgh School of Public Health, Infectious Diseases, Microbiology, Behavioral and Community Health Sciences Departments, Pittsburgh, PA.

Subjects: Operating Rooms* ; Neurosurgical Procedures*; Humans

• Source: American journal of infection control [Am J Infect Control] 2024 Jun; Vol. 52 (6), pp. 630-634. Date of Electronic Publication: 2024 Jan 26.Publisher: Mosby Country of Publication: United States NLM ID: 8004854 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-3296

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Long-Range Traffic Monitoring Based on Pulse-Compression Distributed Acoustic Sensing and Advanced Vehicle Tracking and Classification Algorithm.

• Authors : Corera I; Institute of Smart Cities and Department of Electrical, Electronic and Communications Engineering, Universidad Pública de Navarra, 31006 Pamplona, Spain.; Piñeiro E

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 15; Vol. 23 (6). Date of Electronic Publication: 2023 Mar 15.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Anomaly Detection Module for Network Traffic Monitoring in Public Institutions.

• Authors : Wawrowski Ł; Łukasiewicz Research Network-Institute of Innovative Technologies EMAG, ul. Leopolda 31, 40-189 Katowice, Poland.; Białas A

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 09; Vol. 23 (6). Date of Electronic Publication: 2023 Mar 09.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Vehicle Detection and Recognition Approach in Multi-Scale Traffic Monitoring System via Graph-Based Data Optimization.

• Authors : Wieczorek G; Department of Artificial Intelligence, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.; Tahir SBUD

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 03; Vol. 23 (3). Date of Electronic Publication: 2023 Feb 03.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Traffic monitoring system design considering multi-hazard disaster risks.

• Authors : Gazzea M; Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063, Bergen, Norway. .; Miraki A

• Source: Scientific reports [Sci Rep] 2023 Mar 25; Vol. 13 (1), pp. 4883. Date of Electronic Publication: 2023 Mar 25.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Urban DAS Data Processing and Its Preliminary Application to City Traffic Monitoring.

• Authors : Wang H; Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China.; Chen Y

Subjects: Automobiles* ; Noise*; Cities

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 18; Vol. 22 (24). Date of Electronic Publication: 2022 Dec 18.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Quantifying on-road vehicle emissions during traffic congestion using updated emission factors of light-duty gasoline vehicles and real-world traffic monitoring big data.

• Authors : Chen X; Research Center for Air Pollution and Health, Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Environment and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China.; Jiang L

Subjects: Air Pollutants*/Air Pollutants*/Air Pollutants*/analysis ; Air Pollution*/Air Pollution*/Air Pollution*/analysis; Big Data

• Source: The Science of the total environment [Sci Total Environ] 2022 Nov 15; Vol. 847, pp. 157581. Date of Electronic Publication: 2022 Jul 23.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Intelligent Traffic Monitoring through Heterogeneous and Autonomous Networks Dedicated to Traffic Automation.

• Authors : Zadobrischi E; Department of Computers, Electronics and Automation, Faculty of Electrical Engineering and Computer Science, 'Stefan cel Mare' University, 720229 Suceava, Romania.; Department of Computer Science, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania.

Subjects: Accidents, Traffic*/Accidents, Traffic*/Accidents, Traffic*/prevention & control ; Algorithms*; Automation

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 16; Vol. 22 (20). Date of Electronic Publication: 2022 Oct 16.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Analysis of Extended Information Provided by Bluetooth Traffic Monitoring Systems to Enhance Short-Term Level of Service Prediction.

• Authors : Fernández Pozo R; Department of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, 28040 Madrid, Spain.; Rodríguez González AB

Subjects: Algorithms*; Forecasting

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jun 17; Vol. 22 (12). Date of Electronic Publication: 2022 Jun 17.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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