Cargando…

A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas

Since 2020, the world is still facing a global economic and health crisis due to the COVID-19 pandemic. One approach to fighting this global crisis is to track COVID-19 cases by wireless technologies, which requires receiving reliable, efficient, and accurate data. Consequently, this article propose...

Descripción completa

Detalles Bibliográficos
Autores principales:	Osman, Radwa Ahmed, Saleh, Sherine Nagy, Saleh, Yasmine N. M., Elagamy, Mazen Nabil
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701443/ https://www.ncbi.nlm.nih.gov/pubmed/34948549 http://dx.doi.org/10.3390/ijerph182412941

Ejemplares similares

A Novel Interference Avoidance Based on a Distributed Deep Learning Model for 5G-Enabled IoT
por: Osman, Radwa Ahmed, et al.
Publicado: (2021)

Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems
por: Fathy, Cherine, et al.
Publicado: (2022)

Monitor sewage to track spread of the coronavirus
por: Barras, Colin
Publicado: (2020)

An audit of ECG monitoring in patients admitted to the general adult wards at clock view hospital
por: Hyland, Declan, et al.
Publicado: (2021)

A Re-Audit of ECG Monitoring in Patients Admitted to the General Adult Inpatient Wards at Clock View Hospital, Liverpool, Mersey Care NHS Foundation Trust
por: Elagamy, Yasmine, et al.
Publicado: (2023)

An audit of high-dose and combination antipsychotic prescribing across the general adult inpatient wards in Mersey Care NHS Foundation Trust
por: Hyland, Declan, et al.
Publicado: (2021)

Towards Reliable and Energy-Efficient Incremental Cooperative Communication for Wireless Body Area Networks
por: Yousaf, Sidrah, et al.
Publicado: (2016)

Monitoring and tracking the spread of SARS-CoV-2 in Asturias, Spain
por: Gonzalez-Alba, Jose Maria, et al.
Publicado: (2023)

An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning
por: Alkadhmi, Murtadha M. A., et al.
Publicado: (2020)

A reliable vaccine tracking and monitoring system for health clinics using blockchain
por: Biswas, Kamanashis, et al.
Publicado: (2023)

DeepLocBox: Reliable Fingerprinting-Based Indoor Area Localization
por: Laska, Marius, et al.
Publicado: (2021)

Zoos help track spread of pandemics
por: Kaplan, Matt
Publicado: (2009)

Mixing patterns and the spread of close-contact infectious diseases
por: Edmunds, WJ, et al.
Publicado: (2006)

Rutherford Appleton: Close-up tracking
Publicado: (1988)

Energy Efficiency and Reliability Considerations in Wireless Body Area Networks: A Survey
por: Ullah, Farman, et al.
Publicado: (2022)

Infection Spread and High-Resolution Detection of Close Contact Behaviors
por: Zhang, Nan, et al.
Publicado: (2020)

Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications
por: Wasif, Rukhshinda, et al.
Publicado: (2023)

Service level management in cloud computing: Pareto-efficient negotiations, reliable monitoring, and robust monitor placement
por: Holloway, Melanie
Publicado: (2017)

Preventing COVID-19 spread in closed facilities by regular testing of employees—An efficient intervention in long-term care facilities and prisons?
por: Tsoungui Obama, Henri Christian Junior, et al.
Publicado: (2021)

Spreading dynamic of acute and carrier hepatitis B with nonlinear incidence
por: Khan, Tahir, et al.
Publicado: (2018)

DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy
por: Zargari, Abolfazl, et al.
Publicado: (2023)

Emergence of Blind Areas in Information Spreading
por: Zhang, Zi-Ke, et al.
Publicado: (2014)

Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring
por: Felisberto, Filipe, et al.
Publicado: (2012)

An Energy-Efficient Routing Protocol for Reliable Data Transmission in Wireless Body Area Networks
por: Qu, Yating, et al.
Publicado: (2019)

Retracted: Energy Efficiency and Reliability Considerations in Wireless Body Area Networks: A Survey
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

Classification of Monocytes, Promonocytes and Monoblasts Using Deep Neural Network Models: An Area of Unmet Need in Diagnostic Hematopathology
por: Osman, Mazen, et al.
Publicado: (2021)

Graph modelling for tracking the COVID-19 pandemic spread
por: Alguliyev, Rasim, et al.
Publicado: (2020)

From Wuhan to Delaware: Tracking the Spread of COVID-19
por: Smith, Katherine
Publicado: (2020)

Automatic measurement of track reconstruction efficiency for data quality monitoring in the CMS experiment
por: Tee, Chin Zhe
Publicado: (2019)

Automatic measurement of track reconstruction efficiency for data quality monitoring in the CMS experiment
por: Tee, Chin Zhe
Publicado: (2019)

Scenarios after closing the west area
por: Kissler, Karl Heinz
Publicado: (1995)

Microdroplets are more infectious of COVID-19 spread in a closed door
por: Al Qahtani, Fahad, et al.
Publicado: (2020)

An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection
por: Habib, Shabana, et al.
Publicado: (2022)

Impact of lockdowns on the spread of COVID-19 in Saudi Arabia
por: Alrashed, Saleh, et al.
Publicado: (2020)

Efficient spread-size approximation of opinion spreading in general social networks
por: Choe, Byeongjin, et al.
Publicado: (2019)

Development of a reliable empirical correlation to calculate hydrogen solubility in seventeen alcoholic media
por: Hosseini, Saleh
Publicado: (2022)

3-D ocean particle tracking modeling reveals extensive vertical movement and downstream interdependence of closed areas in the northwest Atlantic
por: Wang, S., et al.
Publicado: (2020)

Sub-spreading events limit the reliable elimination of heterogeneous epidemics
por: Parag, Kris V.
Publicado: (2021)

Multiview Monitoring of Individual Cattle Behavior Based on Action Recognition in Closed Barns Using Deep Learning
por: Fuentes, Alvaro, et al.
Publicado: (2023)

Terlipressin infusion for prevention of vasoplegic syndrome in patients treated with angiotensin II receptor antagonist undergoing coronary artery bypass graft surgery: a randomized controlled study
por: Saleh, Mohamed, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_m7dqd33h5jot21tq83of41ksf7