Bayan Ibrahimm Alabdullah

Abstract Industrial Internet of Things (IIoT) anomaly detection imposes concurrent requirements for temporal consistency, computational latency control, and representation of high-dimensional heterogeneous sensor data. Addressing these constraints requires models capable of processing non-stationary streams while maintaining bounded inference time and preserving inter-sensor dependencies.

?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract This paper tackles a key challenge for protecting our coasts: quickly and accurately identifying different coastal landscapes from aerial photos. We present a smart AI system that combines deep learning with powerful boosting algorithms.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.