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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 ...
Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study
(Journal of Geochemical Exploration, 2020-01)
The distribution patterns of trace elements are very useful for predicting mineral deposits occurrence. Machine learning techniques were used for the computation of adequate models in trace elements' prediction. The main ...
Clustering analysis for automatic certification of LMS strategies in a university virtual campus
(IEEE Access, 2019)
In recent years, the use of Learning Management Systems (LMS) has grown considerably.
This has had a strong effect on the learning process, particularly in higher education. Most universities
incorporate LMS as a complement ...
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 ...
Review: machine learning techniques applied to cybersecurity
(International Journal of Machine Learning and Cybernetics, 2019-10)
Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks
(IEEE ACCESS, 2020)
Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
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 ...
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
(IEEE Access, 2020)
Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ...
Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems
(Environmental Impact Assessment Review, 2021-01)
The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions ...