Unsupervised dynamic sensor selection for iot-based predictive maintenance of a fleet of public transport buses
In recent years, big data produced by the Internet of Things has enabled new kinds of useful
applications. One such application is monitoring a fleet of vehicles in real time to predict their …
applications. One such application is monitoring a fleet of vehicles in real time to predict their …
Towards autonomous knowledge creation from big data in smart cities
The notion of smart cities is inherently connected with the notion of Big Data. It is Big Data
that allows more and more intelligence to be added to our existing urban systems. This …
that allows more and more intelligence to be added to our existing urban systems. This …
Wisdom of the contexts: active ensemble learning for contextual anomaly detection
In contextual anomaly detection, an object is only considered anomalous within a specific
context. Most existing methods use a single context based on a set of user-specified …
context. Most existing methods use a single context based on a set of user-specified …
Using Segmentation to Improve Machine Learning Performance in Human-in-the-Loop Systems
D Carneiro, M Carvalho - Proceedings of SAI Intelligent Systems …, 2022 - Springer
Abstract The expectations of Machine Learning systems are becoming increasingly
demanding, namely in what concerns the diversity of applications, the expected accuracy …
demanding, namely in what concerns the diversity of applications, the expected accuracy …
Wisdom of the crowd for fault detection and prognosis
Y Fan - 2020 - diva-portal.org
Monitoring and maintaining the equipment to ensure its reliability and availability is vital to
industrial operations. With the rapid development and growth of interconnected devices, the …
industrial operations. With the rapid development and growth of interconnected devices, the …