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Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
(Expert systems with applications, 2021)
Education and employment are key aspects of a country's well-being. Governments expend valuable resources on designing education plans and employment programs. These two aspects are usually analysed separately, although, ...
Real-World Data and Machine Learning to Predict Cardiac Amyloidosis
(International journal of environmental research and public health, 2021)
(1) Background: Cardiac amyloidosis or “stiff heart syndrome” is a rare condition that
occurs when amyloid deposits occupy the heart muscle. Many patients suffer from it and fail to
receive a timely diagnosis mainly ...
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 ...
Detecting Malware in Cyberphysical Systems Using Machine Learning: a Survey
(KSII transactions on internet and information systems, 2021)
Among the scientific literature, it has not been possible to find a consensus on the definition of the limits or properties that allow differentiating or grouping the cyber-physical systems (CPS) and the Internet of Things ...
Machine Learning and Student Activity to Predict Academic Grades in Online Settings in Latam
(Springer Science and Business Media Deutschland GmbH, 2021)
In the past few years, interest in applying intelligent data-mining techniques to educational datasets has increased rapidly, with goals ranging from identifying students who need further support to being able to infer or ...
Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
(Vaccines, 2021-01)
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and ...
A systematic review of the effects of automatic scoring and automatic feedback in educational settings
(Institute of Electrical and Electronics Engineers Inc., 2021)
Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
A real-life machine learning experience for predicting university dropout at different stages using academic data
(Institute of Electrical and Electronics Engineers Inc., 2021)
High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...
Mining Pre-Grade Academic and Demographic Data to Predict University Dropout
(Springer Science and Business Media Deutschland GmbH, 2021)
Digital transformation is enabling institutions to enhance their processes by using data and technology. In education, digital transformation allows improving the learning experience as well as the institution processes. ...