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Personalized tutoring model through the application of Learning Analytics phases
(IEEE Latin America Transactions, 2020-01)
Learning Analytics (LA) have a significant impact in learning and teaching processes. These can be improved using the available data retrieved from the students' activity inside the virtual classrooms of a LMS. This process ...
Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient
(CMES - Computer Modeling in Engineering and Sciences, 2020)
The images capture in a bad environment usually loses its fidelity and contrast. As the light rays travel towards its destination they get scattered several times due to the tiny particles of fog and pollutants in the ...
Biometric iris recognition using radial basis function neural network
(Soft Computing, 2019-11)
The consistent and efficient method for the identification of biometrics is the iris recognition in view of the fact that it has richness in texture information. A good number of features performed in the past are built ...
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 ...
A recommender system based on implicit feedback for selective dissemination of ebooks
(Information Sciences, 2018-10)
In this study, we describe a recommendation system for electronic books. The approach is based on implicit feedback derived from user's interaction with electronic content. User's behavior is tracked through several ...
Rapid modeling of human-defined AI behavior patterns in games
(Journal of Ambient Intelligence and Humanized Computing, 2019-07)
The creation of computer and videogames is a challenging and multidisciplinary endeavor, requiring different approaches to integrate different disciplines while keeping relatively low development costs. In this context, ...
Identifying Students at Risk of Failing a Subject by Using Learning Analytics for Subsequent Customised Tutoring
(Applied Sciences (Switzerland), 2019-01-28)
Learning analytics (LA) has become a key area of study in educology, where it could assist in customising teaching and learning. Accordingly, it is precisely this data analysis technique that is used in a sensor—AnalyTIC—designed ...
2008-2017 Bogota River Water Quality Assessment Based on the Water Quality Index
(Sustainability, 2019-03-02)
This article provides a deep analysis of the water quality at the upper basin of the Bogota River (Colombia) between 2008 and 2017. The Water Quality Index has been the indicator employed to determine the ecological status ...
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
(Applied Soft Computing Journal, 2020-08)
In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this ...
Comparative study on ant colony optimization (ACO) and K-Means clustering approaches for jobs scheduling and energy optimization model in Internet of Things (IoT)
(International Journal of Interactive Multimedia and Artificial Intelligence, 2020-03)
The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ...