Ilkay CINAR

Ilkay CINAR

Selçuk Üniversitesi

H-index: 15

Asia-Turkey

About Ilkay CINAR

Ilkay CINAR, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Selçuk Üniversitesi, specializes in the field of Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms

Evaluation of Machine Learning and Deep Learning Approaches for Automatic Detection of Eye Diseases

Monkeypox Skin Lesion Detection with Deep Learning Models and Development of Its Mobile Application

Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models

Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models

Classification of deep image features of lentil varieties with machine learning techniques

Detection of Broken Eggs with Deep CNNs and Performance Analysis of Models

Analysis of Hybrid Artificial Intelligence Models Determining Properly Wear a Face Mask

Ilkay CINAR Information

University

Position

___

Citations(all)

784

Citations(since 2020)

781

Cited By

5

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Selçuk Üniversitesi

Google Scholar

View Google Scholar Profile

Ilkay CINAR Skills & Research Interests

Artificial Intelligence

Machine Learning

Deep Learning

Data Mining

Image Processing

Top articles of Ilkay CINAR

Title

Journal

Author(s)

Publication Date

Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms

The Journal of The Textile Institute

Melike Isik

Burcu Ozulku

Ramazan Kursun

Yavuz Selim Taspinar

Ilkay Cinar

...

2024/1/23

Evaluation of Machine Learning and Deep Learning Approaches for Automatic Detection of Eye Diseases

Anuj Anand

Md Amaan Haque

John Sahaya Rani Alex

Nithya Venkatesan

2018/12/6

Monkeypox Skin Lesion Detection with Deep Learning Models and Development of Its Mobile Application

Yavuz Selim Taspinar

Ilkay Cinar

Ramazan KURSUN

Murat KOKLU

2024

Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models

Food Science & Nutrition

Hakan Isik

Sakir Tasdemir

Yavuz Selim Taspinar

Ramazan Kursun

Ilkay Cinar

...

2024/2

Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models

European Food Research and Technology

Bunyamin Gencturk

Sadiye Arsoy

Yavuz Selim Taspinar

Ilkay Cinar

Ramazan Kursun

...

2024

Classification of deep image features of lentil varieties with machine learning techniques

European Food Research and Technology

R. Butuner

İ. Cinar

Y. S. Taspinar

R. Kursun

M.H. Calp

...

2023

Detection of Broken Eggs with Deep CNNs and Performance Analysis of Models

Yavuz Selim Taspinar

Ilkay Cinar

2023/9/7

Analysis of Hybrid Artificial Intelligence Models Determining Properly Wear a Face Mask

Authorea Preprints

Murat Koklu

Ilkay CINAR

Yavuz Selim Taspinar

2023/4/28

Detection of Chicken Diseases from Fecal Images with the Pre-Trained Places365-GoogLeNet Model

Ilkay Cinar

2023/9/7

Disaster Detection Using Machine Learning Methods with Deep Features

Ilkay CINAR

2023/4

Detection of Fungal Infections from Microscopic Fungal Images Using Deep Learning Techniques

Ilkay CINAR

Yavuz Selim TASPINAR

2023/8

Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine

Computers and Electronics in Agriculture

Musa Dogan

Yavuz Selim Taspinar

Ilkay Cinar

Ramazan Kursun

Ilker Ali Ozkan

...

2023/1/1

Prediction of Sleep Health Status, Visualization and Analysis of Data

Yavuz Selim Taspinar

Ilkay Cinar

2023/8

Development of early stage diabetes prediction model based on stacking approach

Tehnički glasnik

Ilkay Cinar

Yavuz Selim Taspinar

Murat Koklu

2023/6/15

Classification and analysis of pistachio species with pre-trained deep learning models

Electronics

Dilbag Singh

Yavuz Selim Taspinar

Ramazan Kursun

Ilkay Cinar

Murat Koklu

...

2022/3/22

Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques

European Food Research and Technology

Yavuz Selim Taspinar

Musa Dogan

Ilkay Cinar

Ramazan Kursun

Ilker Ali Ozkan

...

2022/11

Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction

Computational Intelligence and Neuroscience

Bhamidipati Kishore

Ali Yasar

Yavuz Selim Taspinar

Ramazan Kursun

Ilkay Cinar

...

2022/8/10

Flower recognition system with optimized features for deep features

Ramazan Kursun

Ilkay Cinar

Y Selim Taspinar

Murat Koklu

2022/6/7

Identification of Rice Varieties Using Machine Learning Algorithms

Journal of Agricultural Sciences (Tarim Bilimleri Dergisi)

Ilkay CINAR

Murat KOKLU

2022

Edible and poisonous mushrooms classification by machine learning algorithms

Kemal Tutuncu

Ilkay Cinar

Ramazan Kursun

Murat Koklu

2022/6/7

See List of Professors in Ilkay CINAR University(Selçuk Üniversitesi)

Co-Authors

H-index: 23
Murat Koklu

Murat Koklu

Selçuk Üniversitesi

H-index: 17
Prof. Dr. Sakir Tasdemir

Prof. Dr. Sakir Tasdemir

Selçuk Üniversitesi

H-index: 16
Yavuz Selim Taspinar

Yavuz Selim Taspinar

Selçuk Üniversitesi

H-index: 12
İlker Ali ÖZKAN

İlker Ali ÖZKAN

Selçuk Üniversitesi

H-index: 11
Kemal Tutuncu

Kemal Tutuncu

Selçuk Üniversitesi

H-index: 10
yavuz ünal

yavuz ünal

Amasya Üniversitesi

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