Hybrid Computational Intelligence Algorithm for Autonomous Handling of COVID-19 Pandemic Emergency in Smart Cities

Abdel‐Basset, Mohamed; Eldrandaly, Khalid A.; Shawky, Laila A.; Elhoseny, Mohamed; AbdelAziz, Nabil M.

doi:10.1016/j.scs.2021.103430

Cited by 11 publications

(3 citation statements)

References 45 publications

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“…An analysis of COVID-19 using an intelligent framework to help healthcare teams make rapid decisions in hospitals, in terms of quarantine, identifying and treating patients with a typical cold has been studied by Abdel-Basset, Chang, and Nabeeh [8]. The study proposed a hybrid Computational Intelligent Algorithm (CI) using Moth-Flame Optimization and Marine Predators Algorithms (MOMPA) to detect the shortest path to the emergency location of COVID-19 without direct interaction with other subjects [18]. Several studies related to reducing the risk of COVID-19 transmission via swabbing through the use of IoT and intelligent frameworks were also conducted [19], [22].…”

Section: Intelligent Framework Innovationmentioning

confidence: 99%

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Astawa

Subagia

Vista

et al. 2023

JOIV : Int. J. Inform. Visualization

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The SARS-CoV-2 virus has been the precursor of the coronavirus disease (COVID-19). The symptoms of COVID-19 begin with the common cold and then become very severe, such as those of Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Currently, polymerase chain reaction (PCR) is used to detect COVID-19 accurately, but it causes some side effects to the patient when the test is performed. Therefore, the proposed "Roboswab" was developed that uses thermal imaging to measure non-contact facial and oral temperature. This study focuses on the performance of the proposed equipment in measuring facial and oral temperature from various distances. Face detection also involves checking whether the subject is wearing a mask or not. Image processing methods with thermal imaging and robotic manipulators are integrated into a contact-free detector that is inexpensive, accurate, and painless. This research has successfully detected masked or non-masked faces and accurately detected facial temperature. The results showed that the accurate measurement of facial temperature with a mask is 90% with an error of +/- 0.05%, while it was 100% without a mask. On the other hand, the oral temperature was measured with 97% accuracy and an error of less than 5%. The optimal distance of the Roboswab to the face for measuring temperature is an average of 60 cm. The Roboswab tool equipped with masked or non-masked face detection can be used for early detection of COVID-19 without direct contact with patients.

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Section: Intelligent Framework Innovationmentioning

confidence: 99%

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Astawa

Subagia

Vista

et al. 2023

JOIV : Int. J. Inform. Visualization

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“…Los sensores de naturaleza ubicua conectados a internet (internet de las cosas) en las ciudades inteligentes con fines analíticos que son procesados con algoritmos (ejemplo redes neuronales y árboles de decisiones entre los más simples) con mínima participación humana derivan en patrones que permiten a las autoridades sanitarias apoyar la lucha contra la infección por SARS-CoV-2 (por ejemplo tendencias de la atención médica, atención en los servicios de salud, asociaciones de riesgo y predicción de resultados), pues adoptarían las mejores estrategias para combatir la enfermedad en tiempo real (limitación de la propagación, pronóstico de epidemias, diagnósticos de casos, seguimiento de pacientes con la enfermedad, rastreo de pacientes potenciales, sugerencias de métodos para el desarrollo de vacunas, el descubrimiento de fármacos) (Lagos et al, 2020;Absalom et al, 2021;Adil & Khan, 2021;El Azzaoui et al, 2021;Manimuthu et al, 2021;Saponara et al, 2021;Umair et al, 2021;Abdel-Basset et al, 2022).…”

Section: Generalidades Que Describen a Las Ciudades Inteligentes Y Pe...unclassified

COVID-19: a challenge for smart cities in the decalogue of public health

Bastidas

Bastidas²,

Bastidas-Delgado

2022

IPSA Scientia rev. cient. multidiscip.

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Este documento tiene como objetivo la descripción y análisis de las características que definen las ciudades inteligentes aplicables en la pandemia por el nuevo coronavirus SARS-CoV-2 en el marco de los principios que conforman el decálogo de la salud pública, la destinada al abordaje de las enfermedades y problemas de salud que afecta a las poblaciones. A partir del enfoque de revisión documental de la bibliografía e inclusión de hallazgos teóricos de investigaciones con sólidas bases metodológicas, objetivos precisos, y conclusiones originales y bien definidas. Los resultados luego que la información se ubicara en categorías en estricta relación con sus similitudes conceptuales se agruparon en las siguientes secciones: las características que definen a las ciudades inteligentes y el desafío que en materia sanitaria significan la pandemia de COVID-19 en el contexto de la salud pública, así como aspectos específicos en la lucha contra la enfermedad que pueden abordarse en las ciudades inteligentes y variables socio-demográficas que deben revisarse en este campo. En conclusión se plantean los hechos relevantes con la perspectiva de ofrecer información que permita a los organismos sanitarios y estudiosos del campo dilucidar el papel que tienen las ciudades inteligentes en la mitigación de la propagación de la pandemia de COVID-19 y de cualquier otra enfermedad futura por su capacidad para ajustarse en gran medida al decálogo de la salud pública.

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“…The literature review showed that a great many studies concern integrating the IoT with WSN technologies for smarter city projects. There is a particular emphasis on how these technologies can improve efficiency and sustainability in urban areas of all kinds, not just traffic management problems [12], [13]. Traffic management is one of the key areas of focus for smart city research.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach Integrating IoT and WSN with Predictive Modeling and Optimization for Enhancing Efficiency and Sustainability in Smart Cities

S. Srinivasan

2024

jes

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The development of smart city solutions is necessary for traffic management and environmental sustainability to meet the challenges of global urbanization. Based on this idea, the paper presents a new way to amalgamate IoT and Wireless Sensor Networks with predictive modeling and optimization methods for use in smart city management. To this end, we have installed traffic sensors (infrared, ultrasonic) and environmental sensors (air quality, humidity, gas) at strategic points throughout the city where they can collect real-time data on traffic and pollution. Then, this data is used together with machine learning models such as ANN (Artificial Neural Network), DT or Decision Trees, KNN (K-Nearest Neighbors), and RF or Random Forests. In practical terms, it is through iterative training processes that our models have achieved ever greater accuracy over time. Now they can actually learn and adapt to changing urban dynamics. The holistic solution of this approach pertains to informed decision-making in smart city infrastructure management. Urban stakeholders can make data-driven decisions by leveraging advanced sensor technologies and machine learning algorithms to deal with traffic congestion, reduce pollution and enhance the quality of life for smart cities. Urban planners, policymakers and technologists working on smart city solutions to improve urban mobility and environmental quality will all be interested in the outcomes of this study.

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Hybrid Computational Intelligence Algorithm for Autonomous Handling of COVID-19 Pandemic Emergency in Smart Cities

Cited by 11 publications

References 45 publications

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

Roboswab: A Covid-19 Thermal Imaging Detector Based on Oral and Facial Temperatures

COVID-19: a challenge for smart cities in the decalogue of public health

A Novel Approach Integrating IoT and WSN with Predictive Modeling and Optimization for Enhancing Efficiency and Sustainability in Smart Cities

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