| 2026 | ICCSA | Quantitative and Qualitative Comparison Assessment of Edge Detection Algorithms for Robust Image Processing. | Suzan J. Obaiys, Nur Amalina Jamaludin, Rafida M. Elobaid, Nadia M. G. Al-Saidi, Yeliz Karaca |
| 2026 | ICCSA | Garbage Images Classification Using Residual Attention CNN and Hybrid Optimization Based on Firefly Algorithm. | Ahmed T. Sadiq, Nadia M. G. Al-Saidi, Venus Wazeer Samawi, Yeliz Karaca |
| 2026 | ICCSA | A Novel Pansharpening Framework Based on the Atangana-Baleanu Fractal-Fractional Derivative. | Husam Yahya, Nadia M. G. Al-Saidi, Arkan J. Mohammed, Yeliz Karaca |
| 2025 | ICCSA | Gradient-Based Weighted Central Pixel Matching for Efficient Fractal Image Coding. | Nadia M. G. Al-Saidi, Suzan J. Obaiys, Arkan J. Mohammed, Yeliz Karaca |
| 2025 | ICCSA | Data-Driven Time Series Modeling with Hurst Exponent for Nonlinear Indexes' Forecasting by Artificial Neural Networks. | Yeliz Karaca, Osvaldo Gervasi |
| 2025 | ICCSA | Towards Smarter Vegetation Health Clustering: Insights from Fractal Dimension, NDVI, and LST Metrics Derived via Remote Sensing Landsat Dataset. | Suhad A. Yousif, Venus Wazeer Samawi, Nadia M. G. Al-Saidi, Yeliz Karaca |
| 2024 | ICCSA | Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems. | Nadia M. G. Al-Saidi, Suzan Jabbar Obaiys, Nawras A. Alwan, Arkan J. Mohammed, Alaa Kadhim Farhan, Yeliz Karaca |
| 2024 | ICCSA | A Pseudo Random Number Generator Based on 4D Hyperchaotic Systems, Riddled Basins of Attraction and Advanced Microfluidic Technology. | Nawres A. Alwan, Suzan Jabbar Obaiys, Nadia M. G. Al-Saidi, Nurul Fazmidar Mohd Noor, Yeliz Karaca |
| 2023 | ICCSA | Analytic Solutions of Fractional Differential Equation Associated with the k-Symbol Tremblay Differential Operator. | Rabha W. Ibrahim, Suzan Jabbar Obaiys, Nur Amalina Jamaludin, Yeliz Karaca |
| 2023 | ICCSA | Fractional Order Computing and Modeling with Portending Complex Fit Real-World Data. | Yeliz Karaca, Mati ur Rahman, Dumitru Baleanu |
| 2020 | ICCSA | Decision Tree-Based Transdisciplinary Systems Modelling for Cognitive Status in Neurological Diseases. | Yeliz Karaca, Elgiz Yilmaz Altuntas |
| 2020 | ICCSA | Multifractional Gaussian Process Based on Self-similarity Modelling for MS Subgroups' Clustering with Fuzzy C-Means. | Yeliz Karaca, Dumitru Baleanu |
| 2020 | ICCSA | Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification. | Yeliz Karaca, Dumitru Baleanu, Majaz Moonis, Yu-Dong Zhang |
| 2019 | ICCSA | A Comparison of Two Hlder Regularity Functions to Forecast Stock Indices by ANN Algorithms. | Yeliz Karaca, Carlo Cattani |
| 2019 | ICCSA | Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. | Yeliz Karaca, Majaz Moonis, Yudong Zhang |
| 2018 | ICCSA | ANN Classification of MS Subgroups with Diffusion Limited Aggregation. | Yeliz Karaca, Carlo Cattani, Rana Karabudak |
| 2018 | ICCSA | Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm. | Yeliz Karaca, Majaz Moonis, Abul Hasan Siddiqi, Basar Turan |
| 2018 | ICCSA | Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient. | Yeliz Karaca, Ahmet Sertbas, Sengl Bayrak |
| 2017 | ICCSA | The Classification of Turkish Economic Growth by Artificial Neural Network Algorithms. | Yeliz Karaca, Sengl Bayrak, Emrullah Fatih Yetkin |
| 2017 | ICCSA | Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis. | Yeliz Karaca, Carlo Cattani, Majaz Moonis |