Yeliz Karaca

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Multiple Sclerosis

Economic Growth

Multifractal Analysis

Top Venues

ICCSA (Workshops 1)

Int. J. Inf. Manag.

J. Medical Syst.

Publications

Nawres A. Alwan, Suzan J. Obaiys, Nadia M. G. Al-Saidi, Nurul Fazmidar Binti Mohd Noor, Yeliz Karaca
A Pseudo Random Number Generator Based on 4D Hyperchaotic Systems, Riddled Basins of Attraction and Advanced Microfluidic Technology. ICCSA (Workshops 1) (2024)
Nadia M. G. Al-Saidi, Suzan J. Obaiys, Nawras A. Alwan, Arkan J. Mohammed, Alaa Kadhim Farhan, Yeliz Karaca
Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems. ICCSA (Workshops 1) (2024)
Yeliz Karaca, Mati ur Rahman, Dumitru Baleanu
Fractional Order Computing and Modeling with Portending Complex Fit Real-World Data. ICCSA (Workshops 1) (2023)
Rabha W. Ibrahim, Suzan J. Obaiys, Nur Amalina Jamaludin, Yeliz Karaca
Analytic Solutions of Fractional Differential Equation Associated with the k-Symbol Tremblay Differential Operator. ICCSA (Workshops 1) (2023)
Yeliz Karaca, Dumitru Baleanu, Rana Karabudak
Hidden Markov Model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of Multiple Sclerosis' subgroups. Knowl. Based Syst. 246 (2022)
Xujing Yao, Xinyue Wang, Yeliz Karaca, Jiayong Xie, Shuihua Wang
Glomerulus Classification via an Improved GoogLeNet. IEEE Access 8 (2020)
Yeliz Karaca, Yu-Dong Zhang, Khan Muhammad
Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling. Expert Syst. Appl. 144 (2020)
Yeliz Karaca, Dumitru Baleanu
Multifractional Gaussian Process Based on Self-similarity Modelling for MS Subgroups' Clustering with Fuzzy C-Means. ICCSA (2) (2020)
Yeliz Karaca, Dumitru Baleanu, Majaz Moonis, Yu-Dong Zhang
Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification. ICCSA (2) (2020)
Yeliz Karaca, Elgiz Yilmaz Altuntas
Decision Tree-Based Transdisciplinary Systems Modelling for Cognitive Status in Neurological Diseases. ICCSA (2) (2020)
Yeliz Karaca, Majaz Moonis, Yudong Zhang
Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification. ICCSA (2) (2019)
Yeliz Karaca, Carlo Cattani
A Comparison of Two Hölder Regularity Functions to Forecast Stock Indices by ANN Algorithms. ICCSA (2) (2019)
Yeliz Karaca, Majaz Moonis, Yudong Zhang, Caner Gezgez
Mobile cloud computing based stroke healthcare system. Int. J. Inf. Manag. 45 (2019)
Yeliz Karaca, Majaz Moonis, Abul Hasan Siddiqi, Basar Turan
Gini Based Learning for the Classification of Alzheimer's Disease and Features Identification with Automatic RGB Segmentation Algorithm. ICCSA (2) (2018)
Yeliz Karaca, Carlo Cattani, Rana Karabudak
ANN Classification of MS Subgroups with Diffusion Limited Aggregation. ICCSA (2) (2018)
Yeliz Karaca, Ahmet Sertbas, Sengül Bayrak
Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient. ICCSA (2) (2018)
Yeliz Karaca, Carlo Cattani, Majaz Moonis, Sengül Bayrak
Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms. Complex. 2018 (2018)
Yeliz Karaca, Sengül Bayrak, Emrullah Fatih Yetkin
The Classification of Turkish Economic Growth by Artificial Neural Network Algorithms. ICCSA (2) (2017)
Yeliz Karaca, Zafer Aslan, Carlo Cattani, Diana Galletta, Yu Zhang
Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation. J. Medical Syst. 41 (1) (2017)
Yeliz Karaca, Carlo Cattani, Majaz Moonis
Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis. ICCSA (2) (2017)