Ahmet Çinar

Orcid: 0000-0001-5528-2226

Affiliations:
  • Firat University, Elazig, Turkey


According to our database1, Ahmet Çinar authored at least 33 papers between 2001 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
YOLOv5 based detector for eight different urine particles components on single board computer.
Int. J. Imaging Syst. Technol., January, 2024

Managing Home Health-Care Services With Dynamic Arrivals During a Public Health Emergency.
IEEE Trans. Engineering Management, 2024

Deep Multi-Modal Fusion Model for Identification of Eight Different Particles in Urinary Sediment.
Appl. Comput. Syst., 2024

2023
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model.
Iran J. Comput. Sci., December, 2023

Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images.
Signal Image Video Process., November, 2023

Detection of autism spectrum disorder from changing of pupil diameter using multi-modal feature fusion based hybrid CNN model.
J. Ambient Intell. Humaniz. Comput., 2023

2022
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers.
New Gener. Comput., 2022

Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET.
Int. J. Imaging Syst. Technol., 2022

Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning.
Int. J. Imaging Syst. Technol., 2022

mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images.
Int. J. Imaging Syst. Technol., 2022

The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection.
Int. J. Imaging Syst. Technol., 2022

A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods.
Concurr. Comput. Pract. Exp., 2022

Hybrid convolutional neural network based classification of bacterial, viral, and fungal diseases on tomato leaf images.
Concurr. Comput. Pract. Exp., 2022

Prediction of Pentacam image after corneal cross-linking by linear interpolation technique and U-NET based 2D regression model.
Comput. Biol. Medicine, 2022

2021
Hybrid CNN Based Computer-Aided Diagnosis System for Choroidal Neovascularization, Diabetic Macular Edema, Drusen Disease Detection from OCT Images.
Traitement du Signal, 2021

3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks.
Traitement du Signal, 2021

Classification of Pneumonia Cell Images Using Improved ResNet50 Model.
Traitement du Signal, 2021

Determining and Measuring the Amount of Region Having COVID-19 on Lung Images.
Appl. Comput. Syst., 2021

Prioritized single nurse routing and scheduling for home healthcare services.
Eur. J. Oper. Res., 2021

Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model.
Comput. Methods Programs Biomed., 2021

A new model for classification of human movements on videos using convolutional neural networks: MA-Net.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR.
Comput. Biol. Medicine, 2021

2020
A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections.
Traitement du Signal, 2020

Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method.
Ingénierie des Systèmes d Inf., 2020

Classification of Malaria Cell Images with Deep Learning Architectures.
Ingénierie des Systèmes d Inf., 2020

2019
Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease.
Rev. d'Intelligence Artif., 2019

Classification of Human Driving Behaviour Images Using Convolutional Neural Network Architecture.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2005
A Method for Local Tuning of Fuzzy Membership Functions.
Proceedings of the Computational Science, 2005

2004
A Method Based on Fuzzy Logic Technique for Smoothing in 2D.
Proceedings of the Computational Science, 2004

Fuzzy blending of materials.
Proceedings of the 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia 2004, 2004

2002
Neural Networks Based Mesh Generation Method in 2-D.
Proceedings of the EurAsia-ICT 2002: Information and Communication Technology, 2002

2001
Fuzzy Object Blending in 2-D.
Proceedings of the Computational Science - ICCS 2001, 2001

Blending of 2D Objects Using Fuzzy Logic.
Proceedings of the Computational Intelligence, 2001


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