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- research-articleAugust 2022
A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform
Neural Processing Letters (NPLE), Volume 55, Issue 3Pages 3267–3303https://doi.org/10.1007/s11063-022-11009-yAbstractComputational intelligence approaches have proven to be effective in enhancing online learning systems. Although many studies have been conducted to reveal the learners’ satisfaction in online learning platforms, the use of machine learning in the ...
- research-articleAugust 2022
Facebook/Meta usage in higher education: A deep learning-based dual-stage SEM-ANN analysis
Education and Information Technologies (KLU-EAIT), Volume 27, Issue 7Pages 9821–9855https://doi.org/10.1007/s10639-022-11012-9AbstractThe paper’s main aim is to investigate and predict major factors in students’ behavioral intentions toward academic use of Facebook/Meta as a virtual classroom, taking into account its adoption level, purpose, and education usage. In contrast to ...
- research-articleFebruary 2022
Artificial neural networks for resources optimization in energetic environment
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 26, Issue 4Pages 1779–1792https://doi.org/10.1007/s00500-022-06757-xAbstractResource Planning Optimization (RPO) is a common task that many companies need to face to get several benefits, like budget improvements and run-time analyses. However, even if it is often solved by using several software products and tools, the ...
- ArticleFebruary 2015
Intelligent Machine for Nutritional Management & Healthcare Using ANN
ICCUBEA '15: Proceedings of the 2015 International Conference on Computing Communication Control and AutomationPages 897–901https://doi.org/10.1109/ICCUBEA.2015.178Childhood is a dynamic period of life that rapid growth and development take place. Making mistakes in feeding practices of children may lead to undesirable consequences like malnutrition and obesity. Use of an automated computer-based technique to ...
- ArticleApril 2010
Intrusion Detection and Attack Classification Using Feed-Forward Neural Network
ICCNT '10: Proceedings of the 2010 Second International Conference on Computer and Network TechnologyPages 262–266https://doi.org/10.1109/ICCNT.2010.28Fast Internet growth and increase in number of users make network security essential in recent decades. Lately one of the most hot research topics in network security is intrusion detection systems (IDSs) which try to keep security at the highest level. ...