AI and Robotics in the Fight Against COVID-19 Pandemic

Khamis, Alaa; Meng, Jun; Wang, Jin; Azar, Ahmad Taher; Prestes, Edson; Li, Howard; Hameed, Ibrahim A.; Haidegger, Tamás

doi:10.1007/978-3-030-72834-2_3

Cited by 14 publications

(3 citation statements)

References 29 publications

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“…Many significant advances in the design of nonlinear systems for a wide range of practical applications have occurred in recent decades. Several inspiring approaches, such as optimal control, nonlinear feedback control, adaptive control, sliding mode control, nonlinear dynamics, fuzzy logic control, fuzzy adaptive control, fractional order control, and robust control, as well as their integrations, have been proposed (Khamis et al, 2022(Khamis et al, , 2021Sain et al, 2022;Ajeil et al, 2020a,b;…”

Section: Proposed Controllermentioning

confidence: 99%

A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

Fekik

Hamida

Kais

et al. 2023

International Journal of Service Science, Management, Engineering, and Technology

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This article introduces a novel and effective diagram based on direct instantaneous power control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table. An optimum control vector of the PWM rectifier's input voltage, which depends on the switching states determined by a Petri nets controller, is adopted. This approach limits the instantaneous detection errors of reactive and active powers, maintains the DC bus voltage at a reference level, and ensures current close to a sinusoidal wave, guaranteeing operation at a unit power factor. The instantaneous tracking errors of active and reactive powers and the angular position of the voltage are used as input variables for the proposed controller, which then selects the best control vector for the converter based on the transition of a Petri net. The significant advantages of DPC based on Petri nets compared to traditional switching tables are that hysteresis comparators are not required, and the classical regulation of active and reactive powers is achieved in all sectors. Simulation and testing findings demonstrated excellent performance, supporting the viability of the suggested control approach using Petri nets.

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Section: Proposed Controllermentioning

confidence: 99%

A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

Fekik

Hamida

Kais

et al. 2023

International Journal of Service Science, Management, Engineering, and Technology

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“…The algorithm often comes to an end after a predetermined number of generations or after enough satisfaction has been produced. (Azar et al, 2012;Inbarani et al, 2014b;Khamis et al, 2022;Liu et al, 2022). As a result, each new generation is better suited to the surroundings of the population.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Nivetha,

Hannah Inbarani

2023

International Journal of Sociotechnology and Knowledge Development

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The difficulty in predicting early cancer is due to the lack of early illness indicators. Metaheuristic approaches are a family of algorithms that seek to find the optimal values for uncertain problems with several implications in optimization and classification problems. An automated system for recognizing illnesses can respond with accuracy, efficiency, and speed, helping medical professionals spot abnormalities and lowering death rates. This study proposes the Novel Hybrid GAO (Genetic Arithmetic Optimization algorithm based Feature Selection) (Genetic Arithmetic Optimization Algorithm-based feature selection) method as a way to choose the features for several machine learning algorithms to classify readily available data on COVID-19 and lung cancer. By choosing just important features, feature selection approaches might improve performance. The proposed approach employs a Genetic and Arithmetic Optimization to enhance the outcomes in an optimization approach.

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“…The adoption of AI technology in healthcare has been highly observed during the recent COVID-19 pandemic for developing reliable healthcare systems (Shringare et al, 2023;Khamis et al, 2022;Kalina, 2022;Joshua et al, 2022;Zainal and Hamdan, 2022;ElGohary et al, 2022;Uddin et al, 2021). The healthcare system highly relies on accuracy and intelligence; therefore, implementing AI technology mitigates multiple problems (Shringare et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

Vishwakarma

Mishra

Kumari

2023

International Journal of Production Research

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AI and Robotics in the Fight Against COVID-19 Pandemic

Cited by 14 publications

References 29 publications

A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

Novel Hybrid Genetic Arithmetic Optimization for Feature Selection and Classification of Pulmonary Disease Images

Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

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