Browsing by Publisher "MDPI AG"
Now showing items 1-2 of 2
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A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data
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Publisher and Date:(MDPI AG, 2020)Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease outbreak detection. In most settings, spatial context is often expressed in terms of ZIP code or region coordinates such as latitude and longitude. However, traditional anomaly detection techniques cannot handle more than one contextual attribute in a unified way. In this paper, a ...
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Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies
Authors:
Publisher and Date:(MDPI AG, 2020)In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor networks (WSNs) integrated into IoT devices. Semantic interoperability of data gathered from IoT devices is generally being carried out using existing sensor ontologies. However, crop-specific trait ontologies-which include site-specific parameters concerning hazelnut as a particular ...
