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October 9, 2014-GTU Office of Press and Public Relations
The project titled "Investigation of Algal Blooms in Burdur Lake Through Integration with Basin Characteristics Using Satellite Images and Deep Learning Techniques and Development of a Transferable Prediction Method," led by Asst. Prof. Meltem Çelen from the Institute of Earth and Marine Sciences at Gebze Technical University (GTU), has been awarded support under the TÜBİTAK 1002-A Short-Term Support Module. The research team includes Prof. Mehmet Salim Öncel from GTU's Institute of Earth and Marine Sciences, Assoc. Prof. İsmail Çölkesen from GTU's Department of Geomatics Engineering, and Prof. Güleda Engin from the Department of Environmental Engineering at Yıldız Technical University.
The project aims to develop transferable deep learning models that can precisely detect and monitor the temporal and spatial dynamics of harmful algal blooms, which pose a significant threat to lake ecosystems with numerous beneficial functions. Additionally, the project intends to determine the impact levels of environmental, meteorological, and anthropogenic factors that contribute to algal bloom formation by integrating explainable artificial intelligence.
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