Yeliz Karaca

According to our database, Yeliz Karaca authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Pseudo Random Number Generator Based on 4D Hyperchaotic Systems, Riddled Basins of Attraction and Advanced Microfluidic Technology.

Nawres A. Alwan, Suzan J. Obaiys, Nadia M. G. Al-Saidi, Nurul Fazmidar Mohd. Noor, Yeliz Karaca

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

Secure Image Encryption Using Single-Mode Fiber and Dense Wavelength Division Multiplexing in Chaotic Systems.

Nadia M. G. Al-Saidi, Suzan J. Obaiys, Nawras A. Alwan, Arkan J. Mohammed, Alaa Kadhim Farhan, Yeliz Karaca

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

2023

Fractional Order Computing and Modeling with Portending Complex Fit Real-World Data.

Yeliz Karaca, Mati ur Rahman, Dumitru Baleanu

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

Analytic Solutions of Fractional Differential Equation Associated with the k-Symbol Tremblay Differential Operator.

Rabha W. Ibrahim, Suzan J. Obaiys, Nur Amalina Jamaludin, Yeliz Karaca

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

Hidden Markov Model and multifractal method-based predictive quantization complexity models vis-á-vis the differential prognosis and differentiation of Multiple Sclerosis' subgroups.

Yeliz Karaca, Dumitru Baleanu, Rana Karabudak

Knowl. Based Syst., 2022

2020

Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling.

Yeliz Karaca, Yu-Dong Zhang, Khan Muhammad

Expert Syst. Appl., 2020

Glomerulus Classification via an Improved GoogLeNet.

Xujing Yao, Xinyue Wang, Yeliz Karaca, Jiayong Xie, Shuihua Wang

IEEE Access, 2020

Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification.

Yeliz Karaca, Dumitru Baleanu, Majaz Moonis, Yu-Dong Zhang

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Multifractional Gaussian Process Based on Self-similarity Modelling for MS Subgroups' Clustering with Fuzzy C-Means.

Yeliz Karaca, Dumitru Baleanu

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Decision Tree-Based Transdisciplinary Systems Modelling for Cognitive Status in Neurological Diseases.

Yeliz Karaca, Elgiz Yilmaz Altuntas

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Mobile cloud computing based stroke healthcare system.

Yeliz Karaca, Majaz Moonis, Yudong Zhang, Caner Gezgez

Int. J. Inf. Manag., 2019

Multifractal Analysis with L2 Norm Denoising Technique: Modelling of MS Subgroups Classification.

Yeliz Karaca, Majaz Moonis, Yudong Zhang

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

A Comparison of Two Hölder Regularity Functions to Forecast Stock Indices by ANN Algorithms.

Yeliz Karaca, Carlo Cattani

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy C Means and K-Means Algorithms.

Yeliz Karaca, Carlo Cattani, Majaz Moonis, Sengül Bayrak

Complex., 2018

Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient.

Yeliz Karaca, Ahmet Sertbas, Sengül Bayrak

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

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

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

ANN Classification of MS Subgroups with Diffusion Limited Aggregation.

Yeliz Karaca, Carlo Cattani, Rana Karabudak

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017

Rank Determination of Mental Functions by 1D Wavelets and Partial Correlation.

Yeliz Karaca, Zafer Aslan, Carlo Cattani, Diana Galletta, Yu Zhang

J. Medical Syst., 2017

Comparison of Deep Learning and Support Vector Machine Learning for Subgroups of Multiple Sclerosis.

Yeliz Karaca, Carlo Cattani, Majaz Moonis

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

The Classification of Turkish Economic Growth by Artificial Neural Network Algorithms.

Yeliz Karaca, Sengül Bayrak, Emrullah Fatih Yetkin

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017