Rukiye Karakis

Orcid: 0000-0002-1797-3461

According to our database1, Rukiye Karakis authored at least 16 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Image Manipulation Detection Using Residual and Dense Connection-based Deep Learning Models.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

Optimization of Mixed Pooling Using Genetic Algorithm for Convolutional Neural Networks.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
Deep learning prediction of motor performance in stroke individuals using neuroimaging data.
J. Biomed. Informatics, May, 2023

A Novel Color Image Watermarking Method with Adaptive Scaling Factor Using Similarity-Based Edge Region.
Comput. Syst. Sci. Eng., 2023

2022
Edge-Based Image Watermarking Method with Weighted Discrete Cosine Transform Coefficients.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2020
Steganalysis on Medical Images with Support Vector Machine.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Classification of Brain Tumors using Convolutional Neural Network from MR Images.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2015
Epileptik MRI ve EEG verileri için bulanık mantık tabanlı steganografi uygulaması (A fuzzy logic-based steganography application for MRI AND EEG data of epilepsy)
PhD thesis, 2015

A novel fuzzy logic-based image steganography method to ensure medical data security.
Comput. Biol. Medicine, 2015

A new method of fuzzy logic-based steganography for the security of medical images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
An application of fuzzy logic-based image steganography.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Corrigendum to "A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer" [Eng. Appl. Artif. Intell 26 (2013), 945-950].
Eng. Appl. Artif. Intell., 2013

A genetic algorithm model based on artificial neural network for prediction of the axillary lymph node status in breast cancer.
Eng. Appl. Artif. Intell., 2013

Feature selection in pulmonary function test data with machine learning methods.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2009
Interpretation of MR images using self-organizing maps and knowledge-based expert systems.
Digit. Signal Process., 2009

2008
MR Images Restoration With the Use of Fuzzy Filter Having Adaptive Membership Parameters.
J. Medical Syst., 2008


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