Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …

NoSQL databases outperform the traditional RDBMS due to their faster retrieval of large
volumes of data, scalability, and high performance. The need for these databases has been …

Monitoring and maintaining equipment and production lines ensure stable production by
detecting and resolving abnormalities immediately. In the Industrial Internet, operational …

The potential of attention mechanisms in time series classification (TSC) is limited owing to
general drawbacks, like weak local perception and quadratic complexity. To promote the …

The data-oriented paradigm has proven to be fundamental for the technological
transformation process that characterizes Industry 4.0 (I4. 0) so that big data and analytics is …

While a significant number of databases are deployed in cloud environments, pushing part
or all data storage and querying planes closer to their sources (ie, to the edge) can provide …

The increasing interest among manufacturers in monitoring and analyzing industrial systems
is generating a problem related to the considerable costs associated with the storage of the …

While a significant number of databases are deployed in cloud environments, pushing part
or all data storage and querying planes closer to their sources (ie, to the edge) can provide …

The growth of big-data sectors such as the Internet of Things (IoT) generates enormous
volumes of data. As IoT devices generate a vast volume of time-series data, the Time Series …

Building energy management systems (BEMS) are critical tools for managing and controlling
a facility's technical systems and services, such as lighting, ventilation, heating, and air …