ERU GeoAI Research Group

Welcome to the ERU GeoAI Research Group at Erciyes University.

Our work combines artificial intelligence, nature-inspired optimisation and the Earth sciences. We use remote sensing imagery, climate and hydrological records, and engineering data to build models that are accurate, interpretable and reproducible. We believe science earns trust through careful method, fair comparison and open reporting of results.

We welcome researchers, students and institutions who share this vision to explore our work and collaborate with us.

Son Eklenen Yayınlar

FALCON-ABC: Fully automated LSTM co-optimization via NAS and ABC for time series forecasting

Çiftçi H. Ç., ATASEVER Ü. H.
Applied Soft Computing, cilt.203, 2026 (SCI-Expanded, Scopus)

Deep learning prediction of rare heatwave and coldwave events under severe class imbalance

Tawfeeq A. F., Atasever Ü. H.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, cilt.1, sa.1, ss.1-20, 2026 (SCI-Expanded, Scopus)

A metaheuristic perspective on the accuracy and stability of GNSS network adjustment

Elzein A., Atasever Ü. H., Abdalla A.
SURVEY REVIEW, cilt.1, sa.15, ss.1-15, 2026 (SCI-Expanded, Scopus)

BSD-FE: a fast and effective framework for automated feature engineering

Yılmaz M., Atasever Ü. H.
MACHINE LEARNING: SCIENCE AND TECHNOLOGY, cilt.6, ss.1-20, 2025 (SCI-Expanded, Scopus)

ERCNET: A NEW SHALLOW NETWORK FOR WATER BODY SEGMENTATION FROM SATELLITE IMAGERY

Tunç B. N., Güngör S., Beşdok E., Atasever Ü. H.
INTERNATIONAL GLOBAL SUSTAINABILITY AND DEVELOPMENT CONGRESS, Kayseri, Türkiye, 15 - 16 Ekim 2025, ss.80-87, (Tam Metin Bildiri)

AutoGluon KütüphanesininGörüntü Sınıflandırmada Kullanımı:AutoML Uygulaması

Tunç B. N., Atasever Ü. H.
Türkiye Ulusal Fotogrametri ve Uzaktan Algılama Birliği (TUFUAB) XIII. Teknik Sempozyumu, Zonguldak, Türkiye, 18 - 20 Haziran 2025, ss.72-76, (Tam Metin Bildiri)

CatBoost algoritmasının taşınmaz değerlemede kullanımı: Bayesian hiperparametre optimizasyonu ile karşılaştırmalı analiz

Tunç B. N., Atasever Ü. H.
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, cilt.14, sa.2, ss.668-679, 2025 (TRDizin)

Investigating the Impact of Feature Engineering On Image Classification

Abbas H. H., Atasever Ü. H.
The 22th International Scientific Research Congress, Ankara, Türkiye, 8 - 09 Mart 2025, ss.213-222, (Tam Metin Bildiri)

Unsupervised change detection in SAR images using a non-local mean filter and hyperbolic tangent sigmoid function

Atasever Ü. H., Elzein A., Abbas H. H.
REMOTE SENSING LETTERS, cilt.16, sa.5, ss.35-45, 2025 (SCI-Expanded, Scopus)

Akarsu Taşkın Riskinin Mikro Ölçekte İncelenmesi/Taşkın Riskinin Mekansal ve İstatistiksel Olarak İncelenmesi

Güngör S., Köylü Ü.
GEOMATIK, cilt.10, sa.2, ss.241-250, 2025 (ESCI)