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Supporting academic decision making at higher educational institutions using machine learning-based algorithms
(Soft Computing, 2018)
Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
Usage of machine learning for strategic decision making at Higher Educational Institutions
(IEEE Access, 2019)
Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence, 2020-03)
Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ...
Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data
(Soft Computing, 2017-03)
This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
A proposal for sentiment analysis on twitter for tourism-based applications
(Frontiers in Artificial Intelligence and Applications, 2018)
People rely on other people’s opinions to make decisions, especially if they belong to their circle of trust. In addition, there are lots of websites of recognized prestige that provide people opinions about different ...
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
(Computers and Electrical Engineering, 2022)
With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the ...
Hybrid Approach Based on Machine Learning for Hand Shape and Key Point's Estimation
(Journal of Interconnection Networks, 2022)
In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a ...
The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak
(Epidemic Analytics for Decision Supports in COVID19 Crisis, 2022)
The COVID-19 pandemic spread generated an urgent need for computational systems to model its behavior and support governments and healthcare teams to make proper decisions. There are not many cases of global pandemics in ...
Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-03)
From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...
Initial Approach for Construction of a Public Dataset for Emotional Analysis Through Brain-Computer Interfaces and Second Language Platforms
(IEEE Global Engineering Education Conference, EDUCON, 2023)
In recent years, the deepening of the role of emotions in education has increased, since it has been shown that emotions influence what we learn and retain, in different areas such as learning a second language. Likewise, ...