PV Monitoring System using Industrial Internet of Things Technologies based on Graphical Programming (2021)

Photovoltaic Panel Systems are already a commodity, the widespread use of such systems being no longer a pioneering topic. Monitoring these power generation systems is not a trivial task since the hunger of real-time data is growing continuously. The advent of IoT technologies, the ubiquitous presence of communication technologies, including remote areas, are making…

Advances in Clickbait and Fake News Detection Using New Language-independent Strategies (2021)

Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading. Its presence in online media leads to an overall bad browsing experience for the web consumer. Recently, big players on the Internet scene, such…

On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies (2021)

Nowadays, software systems encounter repeated modifications in order to satisfy any requirement regarding a business change. To assure that these changes do not affect systems' proper functioning, those parts affected by the changes need to be retested, minimizing the negative impact of performed modifications on another part of the software. In this research, we…

Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase (2021)

Interacting with businesses, searching for information, or accessing news and entertainment sources all have a common feature, they are predominately accessed nowadays from mobile applications. The software architecture used in building those kinds of products represents a major factor in their lifecycle, costs, and roadmap, as it affects their maintainability and extensibility. In this…

An Evolutionary Approach for Critical Node Detection in Hypergraphs. A Case Study of an Inflation Economic Network (2021)

Critical node detection is a crucial task in network analysis. In this article a new problem is proposed, the critical node detection in hypergraphs, which are a generalization of the ‘traditional’ graphs. A genetic algorithm is proposed to solve this problem and as an application an inflation dataset is transformed in a hypergraph and…