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Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection

Expert systems with applications, 2020-06, Vol.148, p.113239, Article 113239

Akyol, Kemal

2020

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Comparing of deep neural networks and extreme learning machines based on growing and pruning approach

Expert systems with applications, 2020-02, Vol.140, p.112875, Article 112875

Akyol, Kemal

2020

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Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images

Interdisciplinary sciences : computational life sciences, 2022-03, Vol.14 (1), p.89-100

2022

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Decolorization of the Reactive Blue 19 from Aqueous Solutions with the Fenton Oxidation Process and Modeling with Deep Neural Networks

Water, air, and soil pollution, 2020-02, Vol.231 (2), Article 72

2020

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Diyabet Hastalığının Erken Aşamada Tahmin Edilmesi İçin Makine Öğrenme Algoritmalarının Performanslarının Karşılaştırılması

Düzce Üniversitesi bilim ve teknoloji dergisi (Online), 2021-12, Vol.9 (6), p.123-134

2021

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ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection

Neural computing & applications, 2024-10, Vol.36 (29), p.18277-18295

Akyol, Kemal

2024

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Keypoint detectors and texture analysis based comprehensive comparison in different color spaces for automatic detection of the optic disc in retinal fundus images

SN applied sciences, 2021-09, Vol.3 (9), p.774-11, Article 774

2021

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Handling hypercolumn deep features in machine learning for rice leaf disease classification

Multimedia tools and applications, 2023-05, Vol.82 (13), p.19503-19520

Akyol, Kemal

2023

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Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions

Neural computing & applications, 2024-04, Vol.36 (10), p.5529-5544

Akyol, Kemal

2024

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A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection

Cluster computing, 2024-04, Vol.27 (2), p.1201-1215

Akyol, Kemal

2024

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Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features

Applied Computer Systems (Online), 2021-05, Vol.26 (1), p.12-21

2021

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Automatic classification of brain magnetic resonance images with hypercolumn deep features and machine learning

Physical and engineering sciences in medicine, 2022-09, Vol.45 (3), p.935-947

Akyol, Kemal

2022

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Growing and Pruning Based Deep Neural Networks Modeling for Effective Parkinson's Disease Diagnosis

Computer modeling in engineering & sciences, 2020-01, Vol.122 (2), p.619-632

Akyol, Kemal

2020

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Assessing the importance of autistic attributes for autism screening

Expert systems, 2020-10, Vol.37 (5), p.n/a

Akyol, Kemal

2020

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YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification

Neural computing & applications, 2023-06, Vol.35 (17), p.12583-12598

2023

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Plant leaf disease classification using EfficientNet deep learning model

Ecological informatics, 2021-03, Vol.61, p.101182, Article 101182

2021

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Forecasting of Dry Freight Index Data by Using Machine Learning Algorithms

International journal of intelligent systems and applications, 2019-08, Vol.11 (8), p.35-43

Akyol, Kemal

2019

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Comparing the Performances of Ensemble classifiers to Detect Eye Stat

International journal of information technology and computer science, 2022-12, Vol.14 (6), p.33-38

2022

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A Study on Test Variable Selection and Balanced Data for Cervical Cancer Disease

International journal of information engineering and electronic business, 2018-09, Vol.10 (5), p.1-7

Akyol, Kemal

2018

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A Study on Diagnosis of Parkinson’s Disease from Voice Dysphonias

International journal of information technology and computer science, 2018-06, Vol.10 (6), p.36-43

Akyol, Kemal

2018

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An Analytical Study on Information Technology and Functionality

International journal of computer trends and technology, 2021-05, Vol.69 (5), p.13-21

2021

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A Study on the Diagnosis of Parkinson’s Disease using Digitized Wacom Graphics Tablet Dataset

International journal of information technology and computer science, 2017-12, Vol.9 (12), p.45-51

Akyol, Kemal

2017

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Assessing the Importance of Attributes for Diagnosis of Diabetes Disease

International journal of information engineering and electronic business, 2017-09, Vol.9 (5), p.1-9

Akyol, Kemal

2017

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HANDLING THE EFFECT OF ATTRIBUTE SELECTION ON SUPPORT VECTOR MACHINES FOR DETECTING CHRONIC KIDNEY DISEASE

Journal of mechanics in medicine and biology, 2022-12, Vol.22 (10)

2022

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A Study on Liver Disease Diagnosis based on Assessing the Importance of Attributes

International journal of intelligent systems and applications, 2017-11, Vol.9 (11), p.1-9

2017

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Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection

Comparing of deep neural networks and extreme learning machines based on growing and pruning approach

Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images

Decolorization of the Reactive Blue 19 from Aqueous Solutions with the Fenton Oxidation Process and Modeling with Deep Neural Networks

Diyabet Hastalığının Erken Aşamada Tahmin Edilmesi İçin Makine Öğrenme Algoritmalarının Performanslarının Karşılaştırılması

ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection

Keypoint detectors and texture analysis based comprehensive comparison in different color spaces for automatic detection of the optic disc in retinal fundus images

Handling hypercolumn deep features in machine learning for rice leaf disease classification

Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions

A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection

Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features

Automatic classification of brain magnetic resonance images with hypercolumn deep features and machine learning

Growing and Pruning Based Deep Neural Networks Modeling for Effective Parkinson's Disease Diagnosis

Assessing the importance of autistic attributes for autism screening

YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification

Plant leaf disease classification using EfficientNet deep learning model

Forecasting of Dry Freight Index Data by Using Machine Learning Algorithms

Comparing the Performances of Ensemble classifiers to Detect Eye Stat

A Study on Test Variable Selection and Balanced Data for Cervical Cancer Disease

A Study on Diagnosis of Parkinson’s Disease from Voice Dysphonias

An Analytical Study on Information Technology and Functionality

A Study on the Diagnosis of Parkinson’s Disease using Digitized Wacom Graphics Tablet Dataset

Assessing the Importance of Attributes for Diagnosis of Diabetes Disease

HANDLING THE EFFECT OF ATTRIBUTE SELECTION ON SUPPORT VECTOR MACHINES FOR DETECTING CHRONIC KIDNEY DISEASE

A Study on Liver Disease Diagnosis based on Assessing the Importance of Attributes

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