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Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques
(Agriculture and environment perspectives in intelligent systems, 2019)
Currently, due to the global shortage of water, the use of reclaimed water from the Wastewater Treatment Plants (WWTPs) for the irrigation of crops is an alternative in areas with water scarcity. However, the use of this ...
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 ...
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 ...
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 ...
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 ...
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 ...
A Review on Intrusion Detection Systems and Techniques
(International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2020-12)
An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ...
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 ...
Impacto de las emociones vertidas por diarios digitales en Twitter
(Profesional de la Información, 2020-09)
The use of Twitter by newspapers is widespread and is a way to keep readers informed in real time. In this article, we analyze the discourse of the messages released by the ten main general information newspapers in Spain ...