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Hydraulic Data Preprocessing for Anomaly Based Intrusion Detection on SCADA Level of Water Treatment Systems
Published 2024“…The best performance was achieved when the preprocessed dataset was randomly split into training and testing, yielding a significant improvement in accuracy, F1 score and time to detection for both algorithms used in the study, namely Fine Tree and Boosted Trees Ensemble.…”
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Concept demonstrator for a decision support tool for agricultural applications
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Improved explainability through uncertainty estimation in automatic target recognition of SAR images
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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant
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Growth-based computer aided design strategies for multimode waveguide design with the aid of functional blocks
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A generic computer vision human activity recognition tool.
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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law
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Development of a stereo vision mixed reality framework
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Digital control of line-interactive UPS
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A predictive model for precision tree measurements using applied machine learning
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A computer vision framework towards automated scene understanding & analysis
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Towards a nuanced view of diagnostic test properties: an application to transfusion transmitted risk estimation
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The impact of HIV status on staging, treatment and outcomes in locally advanced cervical carcinoma
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Extracting failure modes from unstructured, natural language text
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Load management of electric water heaters in a smart grid through forecasting and intelligent centralised control
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Upset detection for passenger airliners using classification of anemometric and inertial sensor data
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Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification
Published 2019Get full text
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