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Author

Fırat Hardalaç

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Open access Oct 2026

Time-Series Anomaly Detection in Off-Grid Solar-Powered Security Systems Using Deep Learning Approaches

Reliable operation of off-grid solar-powered security systems is essential for maintaining uninterrupted surveillance and monitoring in remote locations. This study proposes a fully unsupervised deep learning framework for detecting energy-related anomalies in multivariate solar-system time-series data before they affe...

Birol Şen, Fırat Hardalaç, Kubilay Ayturan · 0 citations
Conference Jul 2026

Deep Learning-Based Compression Artifact Removal and Super Resolution for Aerial Imagery

High-resolution aerial imagery plays a significant role in many fields such as urban planning, environmental monitoring, weather prediction, disaster management, change detection and map generation. However, acquiring high-resolution data is often limited by sensor capacities and cost constraints. Moreover, in aerial r...

S¸Eyma Karagozoglu, Fırat Hardalaç, Mehmet Sarikahya · 0 citations

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