An integrated model for Acceptance of QR code Mobile Payment System in Pakistan

Raza, Ali; Koondhar, M. Y.; Khan, M. S.; Shaikh, Humaiz; Shah, Asadullah

doi:10.1109/icetas48360.2019.9117543

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…A significant proportion of the reviewed articles 32% focused on computer vision applications using Convolutional Neural Networks (CNN), Support Vector Machines (SVM) or a combination of the two. Specifically, 7 articles [16][17][18][19][20][21][22][23][24] explored ways of enhancing existing fire detection systems utilising visual input. Faster, more accurate detection, less false alarms or improved identification rates of smaller fires and smoke comprised the topics of such studies.…”

Section: Computer Visionmentioning

confidence: 99%

A review of the contributions of Artificial Intelligence in fire engineering, in a world rapidly realising the need for sustainable design

Bakas

Kontoleon

2023

IOP Conf. Ser.: Earth Environ. Sci.

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With sustainability being at the forefront of international civil and structural engineering professional bodies agendas, Artificial Intelligence (AI), and its numerous facets, has potential of providing an invaluable tool. Although the notion of AI is not new, it only recently started gaining momentum in the sector of fire engineering. The combination of tangible benefits in scientific and industrial applications, in conjunction with a developing understanding of its functionality, requirements and deliverables, from practitioners and researchers alike, supported a wider acceptance of the method. Acknowledging the scope of AI applications is vast, a focus will be given to fire engineering scientific projects. A selection of recent, representative scientific papers will be reviewed with the aim of debating the attributes of Artificial Intelligence in the context of sustainability, while also assessing its current contribution to the technical advancement of the field.

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Section: Computer Visionmentioning

confidence: 99%

A review of the contributions of Artificial Intelligence in fire engineering, in a world rapidly realising the need for sustainable design

Bakas

Kontoleon

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Understanding Consumer Intention Towards Blockchain-Based Mobile Payment Adoption Services in Pakistan

Ali

Bano

2022

International Journal of E-Collaboration

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The paper reflects the application of a positivist study and quantitative methods for evaluation of variable relationships. The researcher developed a survey-based methodology and disseminated the questionnaire to consumers of Pakistan through online. Structural equation modeling, confirmatory factor analysis and all supporting statistical tests have been applied on the data in order to evaluate the accuracy;the findings suggest that the usability and factors like the security of online services influence the consumers. Moreover, the performance and effectiveness of these measures influence the decision to use and recommend the services to others as well. The study contributed to the literature by validating and supporting the applicability, usage and development of mobile payment services and produces important implications for the managerial and policymakers of these industries.

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An integrated model for Acceptance of QR code Mobile Payment System in Pakistan

Cited by 2 publications

References 11 publications

A review of the contributions of Artificial Intelligence in fire engineering, in a world rapidly realising the need for sustainable design

A review of the contributions of Artificial Intelligence in fire engineering, in a world rapidly realising the need for sustainable design

Understanding Consumer Intention Towards Blockchain-Based Mobile Payment Adoption Services in Pakistan

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