Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework

Contrast Media & Molecular Imaging, Journal Year: 2022, Volume and Issue: 2022(1)

Published: Jan. 1, 2022

Coronavirus disease (COVID-19) is a viral infection caused by SARS-CoV-2. The modalities such as computed tomography (CT) have been successfully utilized for the early stage diagnosis of COVID-19 infected patients. Recently, many researchers deep learning models automated screening suspected cases. An ensemble and Internet Things (IoT) based framework proposed Three well-known pretrained are ensembled. medical IoT devices to collect CT scans, diagnoses performed on servers. compared with thirteen competitive over four-class dataset. Experimental results reveal that ensembled model yielded 98.98% accuracy. Moreover, outperforms all in terms other performance metrics achieving 98.56% precision, 98.58% recall, 98.75% F-score, 98.57% AUC. Therefore, can improve acceleration diagnosis.

Language: Английский

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COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: Aug. 30, 2022

Coronavirus disease 2019 (COVID-19) is a highly contagious that has claimed the lives of millions people worldwide in last 2 years. Because disease's rapid spread, it critical to diagnose at an early stage order reduce rate spread. The images lungs are used this infection. In years, many studies have been introduced help with diagnosis COVID-19 from chest X-Ray images. all researchers looking for quick method virus, deep learning-based computer controlled techniques more suitable as second opinion radiologists. article, we look issue multisource fusion and redundant features. We proposed CNN-LSTM improved max value features optimization framework classification address these issues. original acquired contrast increased using combination filtering algorithms architecture. dataset then augmented increase its size, which train two learning networks called Modified EfficientNet B0 CNN-LSTM. Both built scratch extract information layers. Following extraction features, serial based maximum technique combine best both models. However, few also noted; therefore, moth flame algorithm proposed. Through algorithm, selected finally classified through machine classifiers. experimental process was conducted on three publically available datasets achieved accuracy than existing techniques. Moreover, classifiers comparison cubic support vector gives better accuracy.

Language: Английский

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The impact of COVID-19 on global health journals: an analysis of impact factor and publication trends

BMJ Global Health, Journal Year: 2023, Volume and Issue: 8(4), P. e011514 - e011514

Published: April 1, 2023

Background COVID-19 has affected research productivity across all areas of knowledge. Current evidence suggests that had a blockbuster effect on journal impact factors (JIFs) and publication trends, while little is known global health journals. Methods Twenty journals were included to analyse the their JIFs trends. Indicator data, including numbers publications, citations, articles with different types, etc, extracted from websites Web Science Core Collection database. The 2019 2021 simulated for longitudinal cross-sectional analyses. Interrupted time-series analysis non-parametric tests applied assess whether decreased non-COVID-19 publications January 2018 June 2022. Results In 2020, 615 out 3223 related, accounting 19.08%. 17 20 in higher than those 2020. Notably, 18 decrease after excluding COVID-19-related publications. Moreover, 10 monthly outbreak. For as whole, outbreak February total number significantly by 14.2 compared previous month (p=0.013), since then, average, 0.6 per until 2022 (p<0.001). Conclusions impacted structure Although may benefit increased JIFs, should avoid relying single metric. More follow-up studies more years data combination metrics be conducted generate robust evidence.

Language: Английский

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The Effect of Publicly Available COVID-19 Information on the Functioning of Society, Businesses, Government and Local Institutions: A Case Study from Poland

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(3), P. 2719 - 2719

Published: Feb. 3, 2023

The COVID-19 pandemic has seriously affected many world regions' societies and economies. the restrictions introduced in response to it have impacted social behaviour operation of businesses various ways. present study aimed verify impact information on outbreak Poland frequency with which residents Rybnik surrounding areas chose stay their houses or apartments, as well functioning businesses. originality lies use mediation modelling, following were used variables describing epidemic Poland: new cases SARS-CoV-2 infection Poland; number deaths caused by people quarantined due Poland. On other hand, data tap water consumption around city, government local institutions. study's conclusions confirm that publicly available about staying apartments areas. increasing who died was associated limited institutions Rybnik, contributed service industry companies city

Language: Английский

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A perspective overview of the influence of the COVID-19 pandemic on the educational sector

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(5), P. 2955 - 2955

Published: April 23, 2024

There is no denying that the COVID-19 pandemic resulted in significant stress worldwide and impacted practically every aspect of human activity. The impacts this deadly virus on education are not seen as gaining much-needed focus from scientific research community. majority educational institutions globally switched to online instruction during pandemic. However, there were considerable differences technical readiness various nations. In regard, study’s attempt provide a way forward for how sector ought manage challenges brought by issues support activities. Since some consequences have an impact sector, answers presumably also should included innovations would improve lessen its effects. Particularly, it appears still much has be done about sector. Hence, perspective review study aims explore potential relationship between while suggesting forward.

Language: Английский

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Changes in water use and wastewater generation influenced by the COVID-19 pandemic: A case study of China

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 314, P. 115024 - 115024

Published: April 7, 2022

Language: Английский

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Extending and improving current frameworks for risk management and decision-making: A new approach for incorporating dynamic aspects of risk and uncertainty

Safety Science, Journal Year: 2023, Volume and Issue: 168, P. 106317 - 106317

Published: Sept. 21, 2023

In recent decades, there has been a growing recognition of the importance risk-informed decision-making, and use risk assessments to support decisions is core principle in current frameworks standards for management decision-making. While considerable efforts have directed towards clarifying role assessment as input less attention paid follow-up once decision made. However, new knowledge, well changes systems, phenomena or values, could alter underlying premises initial assessment. Many decision-making lack suitable approaches reflecting these issues, leaving important aspects unaddressed. this paper, we present an adjusted approach which need evaluated, focusing on three main criteria: i) introduction alternatives, ii) risk, iii) context/values. Acknowledging challenge determining appropriate timing evaluation, emphasize that striking balance between remaining responsive challenging circumstances avoiding unnecessary resources excessive evaluations, key task. By providing basis more dynamic management, paper aims strengthen foundation

Language: Английский

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The role of health and wellbeing in shaping local park experiences during the COVID-19 pandemic

Journal of Outdoor Recreation and Tourism, Journal Year: 2024, Volume and Issue: 46, P. 100739 - 100739

Published: March 14, 2024

Language: Английский

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Virtual laboratories for engineering and science education in open and distance learning

Journal of Infrastructure Policy and Development, Journal Year: 2025, Volume and Issue: 9(1), P. 9054 - 9054

Published: Jan. 13, 2025

Higher education (HE) consists of both conventional and non-conventional methods learning. Open Distance Learning (ODL) is a system where teachers (often referred to as facilitators) are physically not present. The conduct practical in engineering science using ODL remains challenge due inadequate technology the dispersion students, which results graduate skills gap programs. There possibility cloud computing set-up, well platforms for creation simulated virtual settings (virtual laboratories-VLs), could be accessible by education-based students notwithstanding their locations. This paper adds existing knowledge on VLs discusses these inadequacies with emphasis enhancement online collaborative learning, possible laboratory (lab) requirements. In addition, highlights contemporary trends some issues remote labs.

Language: Английский

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Generative pre-trained transformers: ‘Ctrl+alt+create’ or ‘ctrl+alt+delete’ for IT education?

Journal of Ethics in Entrepreneurship and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Graphical abstract Purpose This study aims to investigate different traits of generative pre-trained transformer (GPT) in information technology (IT) students’ enhancement coding skills within Jordanian undergraduate education. These characteristics are perceived customization, simulations, usefulness, ease use, risks and complexity. Design/methodology/approach Using a quantitative research design, this analyzes data from survey IT students interacting with GPT-based tools simulations (Three filtration steps). Structural equation modeling (SEM) is used assess the relationships between GPT attributes skill outcomes, providing robust examination theoretical models proposed. Findings The findings reveal that generated use usefulness significantly positively affect (CSE). In contrast, complexity found negatively impact these outcomes. Practical implications underscores necessity for educators, curriculum designers developers prioritize customization capabilities enhance experiences. Organizations must ensure security measures protect user build trust. An international body/commission should be launched regulate AI industry (including GPT) adherence ethical privacy standards. Originality/value Exploring addition highlighting potential drawbacks, such as risks, calls improved standards education application. also contributes growing body knowledge on application by linking two frameworks explore aspects CSE.

Language: Английский

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