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1.
International Journal of Advanced Technology and Engineering Exploration ; 9(90):623-643, 2022.
Article in English | ProQuest Central | ID: covidwho-1964885

ABSTRACT

A rapid diagnostic system is a primary role in the healthcare system exclusively during a pandemic situation to control contagious diseases like coronavirus disease-2019 (COVID-19). Many countries remain lacking to spot COVID cases by the reverse transcription-polymerase chain reaction (RT-PCR) test. On this stretch, deep learning algorithms have been strengthened the medical image processing system to analyze the infection, categorization, and further diagnosis. It is motivated to discover the alternate way to identify the disease using existing medical implications. Hence, this review narrated the character and attainment of deep learning algorithms at each juncture from origin to COVID-19. This literature highlights the importance of deep learning and further focused the medical image processing research on handling the data of magnetic resonance imaging (MRI), computed tomography (CT) scan, and electromagnetic radiation (X-ray) images. Additionally, this systematic review tabulates the popular deep learning networks with operational parameters, peer-reviewed research with their outcomes, popular nets, and prevalent datasets, and highlighted the facts to stimulate future research. The consequence of this literature ascertains convolutional neural network-based deep learning approaches work better in the medical image processing system, and especially it is very supportive of sorting out the COVID-19 complications.

2.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:1517-1526, 2022.
Article in English | Scopus | ID: covidwho-1874754

ABSTRACT

The present study investigates the antecedents of organic products usage intention in India. Based on previous research in this area we considered four constructs- environmental concern, health concerns, attitude to buy organic products and intention to buy organic products. We linked two Sustainable Development Goals with the study-SDG 3 and SDG 12.Data were collected from 573 respondents from India. An online survey was conducted using snowball sampling. Sample consisted of 366 males and 207 females. The mean age of the respondents was 39.5(SD 9.75). Structural equation modeling (SEM) methods as implemented in AMOS 24.0. The study found positive relationships between environmental concern and health concern with attitude to buy organic products and intention to buy organic products. The study also found a positive relationship between attitude to buy organic products and intention to buy organic products. Moreover, the established the mediating role of attitude to buy organic products. © The Electrochemical Society

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