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Author

Burak Aggul

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Open access Sep 2026

Anomaly Detection Based on Reconstruction Error in High-Frequency Hydroponic Sensor Data

In vertical farming and hydroponics, rapid changes in temperature, humidity, light, pH, and electrical conductivity raise the question of how to separate production-relevant deviations from normal operation. While previous studies have enhanced monitoring with IoT and machine learning, many approaches still rely on sta...

Burak Aggul, Kaan Arık · 0 citations
Open access Sep 2026

Window leakage in clinical EEG machine learning: matched subject-independent evaluation across ADHD and Parkinson cohorts

Windowed electroencephalography (EEG) pipelines can produce misleadingly high performance when segments from the same participant occur in both training and testing. We define this contamination as window leakage and test it in two clinically and technically distinct public cohorts: 121 children (61 attention-defic...

Burak Aggul · 0 citations

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