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Artículo
Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)
Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is responsible for an estimated 1 to 1.2 million premature deaths yearly. Furthermore, O3 adversely affects ...
Artículo
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
(IOS Press, 2024)
The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new possibilities to monitor and control energy consumption. In this context, non-intrusive load monitoring ...
Artículo
An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
(Elsevier, 2024)
CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and ...
Artículo
BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning
(Elsevier B.V., 2024)
Data quality should be at the core of many Artificial Intelligence initiatives from the very first moment in which data is required for a successful analysis. Measurement and evaluation of the level of quality are crucial ...
Artículo
Thinking about spiking neural P systems: some theories, tools, and research topics
(SPRINGER; SPRINGERNATURE; Springer Science and Business Media LLC, 2024)
The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous systems, and software tools for easy access and visual simulation of such systems. The three notions ...