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A Novel LSB Steganography Technique Using Image Segmentation

J.UCS (Annual print and CD-ROM archive ed.), 2024-03, Vol.30 (3), p.308-332

2024

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Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework

Machine learning: science and technology, 2024-03, Vol.5 (1), p.015021

2024

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Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms

Journal of medical systems, 2010-04, Vol.34 (2), p.185-194

2010

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Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

PSYCHIATRY INVESTIGATION, 2015, 12(1), , pp.61-65

2015

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Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding

Korean Journal of Radiology, 2008, 9(1), , pp.1-9

2008

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Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

PSYCHIATRY INVESTIGATION, 2014, 11(3), , pp.243-250

2014

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Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach

Clinical EEG and neuroscience, 2015-10, Vol.46 (4), p.321-326

2015

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Detecting Malicious DNS over HTTPs (DoH) Connections via Machine Learning Techniques

Maǧallaẗ al-abḥath al-handasiyyaẗ, 2021-12

2021

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Makine Öğrenmesi Yöntemleriyle Anormal Ağ Trafiğinin Tespit Edilmesi

Düzce Üniversitesi bilim ve teknoloji dergisi (Online), 2019-01, Vol.7 (1), p.566-576

2019

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Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces

Biomedical signal processing and control, 2020-07, Vol.60, p.101999, Article 101999

2020

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A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

Neurocomputing (Amsterdam), 2015-08, Vol.161, p.220-228

2015

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Mammographic mass detection using a mass template

Korean journal of radiology, 2005-10, Vol.6 (4), p.221-228

2005

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Artificial intelligence approaches in psychiatric disorders

The journal of neurobehavioral sciences, 2014, Vol.1 (2), p.52

2014

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DLSB - Uzaklaştırılmış en önemsiz bit steganografi

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi dergisi, 2023-01, Vol.38 (3), p.1725-1736

2023

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Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression

Clinical EEG and neuroscience, 2014-10, Vol.45 (4), p.257-261

2014

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Automatic Lung Nodule Detection Using Template Matching

Advances in Information Systems, 2006, p.247-253

2006

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Classification of Juvenile Myoclonic Epilepsy Data Acquired Through Scanning Electromyography with Machine Learning Algorithms

Journal of medical systems, 2012-10, Vol.36 (5), p.2705-2711

2012

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Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

Psychiatry investigation, 2014-07, Vol.11 (3), p.243-250

2014

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Lung nodule diagnosis using 3D template matching

Computers in biology and medicine, 2007-08, Vol.37 (8), p.1167-1172

2007

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Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Psychiatry investigation, 2015-01, Vol.12 (1), p.61-65

2015

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Mammographic Mass Detection Using a Mass Template

Korean Journal of Radiology, 2005, 6(4), , pp.221-228

2005

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Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces

Balkan journal of electrical & computer engineering, 2020-01, Vol.8 (1), p.108-113

2020

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SAAC - Kriptosistemlerin analizi için istatistiksel mutlak çığ-etkisi kriter testi

El-cezeri, 2022-08

2022

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Classification of major depressive disorder subjects using Pre-rTMS electroencephalography data with support vector machine approach

2014 Science and Information Conference, 2014, p.410-414

2014

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Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

European journal of open, distance and E-Learning, 2014-07, Vol.17 (1), p.118-133

2014

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A Novel LSB Steganography Technique Using Image Segmentation

Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework

Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms

Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding

Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach

Detecting Malicious DNS over HTTPs (DoH) Connections via Machine Learning Techniques

Makine Öğrenmesi Yöntemleriyle Anormal Ağ Trafiğinin Tespit Edilmesi

Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces

A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

Mammographic mass detection using a mass template

Artificial intelligence approaches in psychiatric disorders

DLSB - Uzaklaştırılmış en önemsiz bit steganografi

Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression

Automatic Lung Nodule Detection Using Template Matching

Classification of Juvenile Myoclonic Epilepsy Data Acquired Through Scanning Electromyography with Machine Learning Algorithms

Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

Lung nodule diagnosis using 3D template matching

Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Mammographic Mass Detection Using a Mass Template

Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces

SAAC - Kriptosistemlerin analizi için istatistiksel mutlak çığ-etkisi kriter testi

Classification of major depressive disorder subjects using Pre-rTMS electroencephalography data with support vector machine approach

Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

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