The evaluation of algorithms and techniques to implement intrusion detection systems
heavily rely on the existence of well designed datasets. In the last years, a lot of efforts have …

Today's globalized and highly competitive world market has broadened the spectrum of
requirements in all the sectors of the agri-food industry. This paper focuses on the dairy …

Abstract In an Industry 4.0 environment, the data generated by sensors networks requires
machine learning and data analysis techniques. Thus, organizations face both new …

Since the introduction of Industry 4.0, manufacturing industries have adopted smarter
automation systems enabling better interconnection amongst various aspects of the …

This work outlines a unified formulation to represent spectral approaches for both
dimensionality reduction and clustering. Proposed formulation starts with a generic latent …

Abstract The Internet of Things (IoT) ceased to be a novel technology to become part of daily
life through the millions of sensors, devices and tools that measure, collect, process and …

Artificial Intelligence (AI) methods contribute to the construction of systems where there is a
need to automate the tasks. They are typically used for problems that have a large response …

Electricity markets worldwide are complex and dynamic environments with very particular
characteristics, resulting from their restructuring and evolution into regional and continental …

Electricity markets are complex environments with very particular characteristics. Some of
the main ones for this complexity are the need for an adequate integration of renewable …

[ES] La evaluación de algoritmos y técnicas para implementar sistemas de detección de
intrusiones depende en gran medida de la existencia de conjuntos de datos (dataset) bien …