3 papers
physics.ao-ph2026
Predictive Modeling of High-Altitude Clear Air Turbulence in the United States: A Machine Learning Approach
Kadir Gokdeniz, Irem Ulku
High-altitude Clear Air Turbulence (CAT) poses significant risks to aviation safety due to its unpredictability and challenges in detection. This study leverages machine learning m…
cs.CV2026
Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities
Irem Ulku, Ö. Özgür Tanrıöver, Erdem Akagündüz
Multimodal semantic segmentation benefits remote sensing analysis by combining complementary information from different sensor modalities. In real-world remote sensing applications…
cs.CV2024
Near-Infrared and Low-Rank Adaptation of Vision Transformers in Remote Sensing
Irem Ulku, O. Ozgur Tanriover, Erdem Akagündüz
Plant health can be monitored dynamically using multispectral sensors that measure Near-Infrared reflectance (NIR). Despite this potential, obtaining and annotating high-resolution…