Application of artificial intelligence and big data for fighting COVID-19 pandemic
JB Awotunde, S Oluwabukonla, C Chakraborty… - Decision Sciences for …, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …
communal systems, humanity and creates economic crises worldwide. Many strategies have …
A multi-population particle swarm optimization-based time series predictive technique
In several businesses, forecasting is needed to predict expenses, future revenue, and profit
margin. As such, accurate forecasting is pivotal to the success of those businesses. Due to …
margin. As such, accurate forecasting is pivotal to the success of those businesses. Due to …
Emerging Technologies and Public Innovation in the Saudi Public Sector: An Analysis of Adoption and Challenges Amidst Vision 2030.
MG Bendary, J Rajadurai - Innovation Journal, 2024 - search.ebscohost.com
Abstract Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses
(PRISMA) methodology, this study conducts a comprehensive examination of the adoption …
(PRISMA) methodology, this study conducts a comprehensive examination of the adoption …
The ways of introducing AI/ML-based prediction methods for the improvement of the system of government socio-economic administration in Ukraine
T Ivashchenko, A Ivashchenko… - Business: Theory and …, 2023 - journals.vilniustech.lt
The objective of the article is to develop and test in practice a mechanism for constructing
AI/ML-based predictions, adapted for use in the system of government socio-economic …
AI/ML-based predictions, adapted for use in the system of government socio-economic …
[HTML][HTML] Structure estimation of vertical axis wind turbine using artificial neural network
Vertical axis wind turbines (VAWTS) can be a suitable choice for usage in urban areas. Wind
conditions and structural parameters are critical to power production. In this study, some …
conditions and structural parameters are critical to power production. In this study, some …
To restrict or not to restrict? Use of artificial neural network to evaluate the effectiveness of mitigation policies: a case study of Turkey
Outbreaks, epidemics or pandemics have increased over the last years, increasing the
morbidity and mortality over large geographical areas, as well as causing financial crises …
morbidity and mortality over large geographical areas, as well as causing financial crises …
A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy
The prediction of mobility change is a crucial aspect of infectious disease prevention and
control, as individual movement can lead to the spread of infectious diseases. After an …
control, as individual movement can lead to the spread of infectious diseases. After an …