Dr. Öğr. Üyesi FATMA ÖZGE ÖZKÖK

Derin Öğrenme Kullanarak Fıstık Türlerinin Otomatik Sınıflandırılması

International Conference on Research in Engineering, Technology and Science (ICRETS), Toskent, Özbekistan, 22 - 25 Ağustos 2024, ss.1 Sürdürülebilir Kalkınma

DETECTION OF PLASTIC WASTE USING END TO END OBJECT DETECTION WITH TRANSFORMER ALGORITHM

Özkök F. Ö., Salman Y. B.

International Conference on Technology, Engineering, and Life Sciences (ICTELS), Amsterdam, Hollanda, 20 - 23 Temmuz 2023, ss.1 Sürdürülebilir Kalkınma

FOREST FIRE DETECTION USING UNMANNED AERIAL IMAGES AND DEEP LEARNING METHODS

Özkök F. Ö., Salman Y. B.

9th International Conference on Engineering and Natural Sciences (ICENS), Sarajevo, Bosna-Hersek, 17 - 21 Mayıs 2023, ss.104-110 Sürdürülebilir Kalkınma

DETECTION OF WEEDS IN SOYBEAN CROPS USING UAV AND U-NET

Özkök F. Ö.

5th International Conference on Research in Engineering, Technology and Science, Budapest, Macaristan, 6 - 09 Temmuz 2023, ss.1 Sürdürülebilir Kalkınma

A Deep-learning Based Object Detection Approach For Rainy Image Dataset

Özkök F. Ö.

ICASEM IV. Uluslararası Uygulamalı Bilimler, Mühendislik ve Matematik Kongresi, Tekirdağ, Türkiye, 20 - 23 Ekim 2022, ss.143

Predicting Personality Traits of Employee Candidates Using Natural Language Processing

Özkök F. Ö.

12th International Statistics Days Conference, İzmir, Türkiye, 13 - 16 Ekim 2022, ss.1

Automatic Image Segmentation Using ST-DBSCAN Clustering Algorithm

Özkök F. Ö., Çelik M.

8th International Conference on Advanced Technologies (ICAT'19), Sarajevo, Bosna-Hersek, 26 - 30 Ağustos 2019, ss.207-211

Automatic Determination of K Parameter Value of K-Means for Time Series Clustering

Özkök F. Ö., Çelik M.

11. Statistics Congress, Muğla, Türkiye, 4 - 08 Ekim 2019

A Novel Approach for Identification of Food-borne Yeasts: Multi-Fragment Melting Analysis System (MFMAS)

KESMEN Z., BÜYÜKKİRAZ M. E., Özbekar E., ÖZKÖK F. Ö., ÇELİK M.

2nd International Congress on Advances in Bioscience and Biotechnology (ICABB), Podgorica, KARADAĞ, 26 - 30 Haziran 2018, ss.25-26

Comprarison of the Performances of Clustering Algorithms on High Resolution Melt Curves of Yeast Species

ÇELİK M., ÖZKÖK F. Ö., KESMEN Z., BÜYÜKKİRAZ M. E.

7th International Conference on Advanced Technologies (ICAT’xx18), Antalya, Türkiye, 24 Nisan - 01 Mayıs 2018, ss.504-509

AutoVDBSCAN: An Automatic and Level-Wise Varied-Density Based Anomaly Detection Algorithm

ÖZEKES A., ÇELİK M., ÖZKÖK F. Ö., Kömüşçü A. Ü., DADAŞER ÇELİK F.

7th International Conference on Advanced Technologies (ICAT’xx18), Antalya, Türkiye, 28 Nisan - 01 Mayıs 2018, ss.534-538

Multi-Fragment Melting Analysis System (MFMAS) A Novel Approach for Identification of Lactobacillus Species

KESMEN Z., KILIC Ö., ÖZKÖK F. Ö., ÇELİK M.

6th International Molecular Biology and Biotechnology Congress (MOLBIOTECH), Afyon, Türkiye, 22 - 25 Aralık 2017, ss.16

Comparison the Performances of DBSCAN Clustering Algorithm and Image Processing Techniques for Counting White Blood Cells

ÖZKÖK F. Ö., ÇELİK M.

5th International Conference on Advanced Technology Sciences (ICAT’xx17), İstanbul, Türkiye, 9 - 12 Mayıs 2017, cilt.227

Dr. Öğr. Üyesi FATMA ÖZGE ÖZKÖK

Yayınlar & Eserler

A hybrid CNN-LSTM model for high resolution melting curve classification

A Hybrid Validity Index to Determine K Parameter Value of k -Means Algorithm for Time Series Clustering

Convolutional neural network analysis of recurrence plots for high resolution melting classification

Assessment of Multi Fragment Melting Analysis System (MFMAS) for the Identification of Food-Borne Yeasts

Best Individual Guided Immune Plasma Algorithm on Solving Path Planning Problem of Unmanned Combat Aerial Vehicles

A New Approach to Determine Eps Parameter of DBSCAN Algorithm

Derin Öğrenme Kullanarak Fıstık Türlerinin Otomatik Sınıflandırılması

DETECTION OF PLASTIC WASTE USING END TO END OBJECT DETECTION WITH TRANSFORMER ALGORITHM

FOREST FIRE DETECTION USING UNMANNED AERIAL IMAGES AND DEEP LEARNING METHODS

DETECTION OF WEEDS IN SOYBEAN CROPS USING UAV AND U-NET

A Deep-learning Based Object Detection Approach For Rainy Image Dataset

Predicting Personality Traits of Employee Candidates Using Natural Language Processing

Automatic Image Segmentation Using ST-DBSCAN Clustering Algorithm

Automatic Determination of K Parameter Value of K-Means for Time Series Clustering

A Novel Approach for Identification of Food-borne Yeasts: Multi-Fragment Melting Analysis System (MFMAS)

Comprarison of the Performances of Clustering Algorithms on High Resolution Melt Curves of Yeast Species

AutoVDBSCAN: An Automatic and Level-Wise Varied-Density Based Anomaly Detection Algorithm

Multi-Fragment Melting Analysis System (MFMAS) A Novel Approach for Identification of Lactobacillus Species

Comparison the Performances of DBSCAN Clustering Algorithm and Image Processing Techniques for Counting White Blood Cells

MULTI-FRAGMENT MELTING ANALYSIS SYSTEM (MFMAS) FOR IDENTIFICATION OF CANDIDA SPECIES

Maya Türlerinin Tanımlanmasında Yeni bir Yaklaşım: Çoklu Fragment Melting Analiz Sistemi

Counting of White Blood Cells Using STDBSCAN Clustering Algorithm

An Application for Dynamic and Real Time Shopping Route Recommendation in Retail Markets

Classification of High Resolution Melting Curves Using Recurrence Quantification Analysis And Data Mining Algorithms

Yayın

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Proje

Açık Erişim