APP innovation to Control Projects Risks Management during Crises

Authors

  • Rasha Abdulrazzak Waheeb Norwegian University of Science and Technology image/svg+xml

DOI:

https://doi.org/10.4108/eetiot.v8i30.1122

Keywords:

Statistic, Cost, Time, Building, Machine Learning, ANN

Abstract

The goal of this study is to build an application that can be used in difficult cases and sudden circumstances during the pandemic and post-disaster state, which can be the development of digital risk management and mitigating the difficult impact of the epidemic through the improvement of IT and IoT that can be fine by finding initial solutions and make the world like a digital city that could be managed by the network. We provide this study to gain an overview of reasons for delayed and exceeded costs in a select of thirty Iraqi case projects by controlling the time and cost. The drivers of delay have been investigated in multiple countries/contexts. however, there is little country data available under the conditions that have characterized Iraq over the previous 10-20 years.

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Published

20-05-2022

How to Cite

[1]
R. A. Waheeb, “APP innovation to Control Projects Risks Management during Crises”, EAI Endorsed Trans IoT, vol. 8, no. 30, p. e1, May 2022.

Issue

Vol. 8 No. 30 (2022): EAI Endorsed Transactions on Internet of Things

Section

Research article

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