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Author

Rifky Aisyatul Faroh

2 papers indexed here

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Open access 2026

PERFORMANCE EVALUATION OF DEEP LEARNING-BASED SEGMENTATION MODELS FOR SMALL BURNED AREA DETECTION IN LANDSAT-8 IMAGES

Accurate and timely burned area mapping is crucial for post-fire management, planning, and mitigation strategies. Traditional approaches for burned area detection are often time- consuming and challenging, highlighting the need for more efficient and automated methods. This study investigates the performance of several...

Nur Nafi'iyah, Rifky Aisyatul Faroh, Salwa Nabilah et al. · 0 citations
#data science Review Open access Oct 2026

A review of manual, semi-automatic, and automated methods in dental radiographic analysis for clinical and forensic diagnosis

Dental radiography serves as a crucial tool in clinical diagnosis, treatment planning, and forensic identification. Advances in imaging technologies such as panoramic radiography orthopantomogram (OPG), periapical imaging, and cone-beam computed tomography (CBCT) have significantly enhanced diagnostic capabilities. In...

Nur Nafi'iyah, Rifky Aisyatul Faroh, E. Astuti et al. · 0 citations

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