Dr. Öğr. Üyesi Hatice Vildan DÜDÜKÇÜ

Makaleler 9

1. Efficacy of synchronized diabetes monitoring system in patients with type 2 diabetes: Preliminary results of a pilot, randomized clinical trial

Kahraman M., Mutlu Ü., Özbek H. E., Boz E. E., Çakmak R., Kurt S., et al.

Primary Care Diabetes , cilt.1, sa.1, 2025 (Hakemli Dergi)

2. AnoSense: Edge computing for real-time flight anomaly detection by using embedded deep neural networks

Düdükçü H. V., Taşkıran M., Kahraman N.

Gümüşhane Üniversitesi Fen Bilimleri Dergisi , cilt.15, sa.3, ss.797-808, 2025 (Scopus, TRDizin)

3. Hierarchical Cascade Deep Learning for EMG-Based Behavioral Biometrics: Gesture and Subject Classification

Cansiz B., Düdükçü H. V., Taşkıran M., Kahraman N.

IEEE ACCESS , cilt.13, sa.13, ss.124115-124128, 2025 (SCI-Expanded, Scopus)

4. Synchronized diabetes monitoring system: Development of smart mobile apparatus for diabetes using insulin

Kahraman M., Düdükçü H. V., Kurt S., Yıldız H., Aydın N., Mutlu Ü., et al.

IRBM , cilt.45, sa.5, ss.100852, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

5. UAV instantaneous power consumption prediction using LR-TCN with simple moving average

Dudukcu H. V., Taskiran M., Kahraman N.

Concurrency and Computation: Practice and Experience , cilt.36, sa.3, 2024 (SCI-Expanded, Scopus)

6. UAV sensor data applications with deep neural networks: A comprehensive survey

Düdükçü H. V., Taşkıran M., Kahraman N.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , cilt.123, sa.Part C, ss.1-17, 2023 (SCI-Expanded, Scopus)

7. Temporal Convolutional Networks with RNN approach for chaotic time series prediction

Dudukcu H. V., Taskiran M., Taskiran Z. G. C., Yildirim T.

Applied Soft Computing , cilt.133, 2023 (SCI-Expanded, Scopus)

8. Blood glucose prediction with deep neural networks using weighted decision level fusion

DÜDÜKÇÜ H. V., TAŞKIRAN M., YILDIRIM T.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING , cilt.41, sa.3, ss.1208-1223, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

9. Noninvasive Glucose Measurement for Diabetes Mellitus Patients

Düdükçü H. V., Yıldırım T.

Current Trends in Biomedical Engineering Biosciences , cilt.2, ss.1-3, 2017 (Hakemli Dergi) Sürdürülebilir Kalkınma

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 12

1. Federated Learning for Human Activity Recognition with Environmental and Subject-Level Awareness

Cansiz B., Taşkıran M., Düdükçü H. V., Kahraman N.

UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Espoo, Finlandiya, 12 - 16 Ekim 2025, ss.625-629, (Tam Metin Bildiri)

2. Impact of Teacher Forcing Training on Blood Glucose Prediction Performance

Günakın S., Düdükçü H. V., Çimen S., Ayten U. E., Yıldırım T.

2025 33rd Signal Processing and Communications Applications Conference (SIU), İstanbul, Türkiye, 25 Haziran 2025, ss.1-4, (Tam Metin Bildiri)

3. The Impact of Stress and Emotional Stimulation on Glucose Prediction: An LSTM-Based Approach

Yıldız N., Yüksel R., Coşkun C., Çimen S., Düdükçü H. V., Yıldırım T.

2025 33rd Signal Processing and Communications Applications Conference (SIU), İstanbul, Türkiye, 25 Haziran 2025, ss.1-4, (Tam Metin Bildiri)

4. Human Activity Recognition with Ensemble Learning

Düdükçü H. V., Taşkıran M., Çam Taşkıran Z. G., Kahraman N.

2024 26th International Conference on Digital Signal Processing and its Applications (DSPA), Moscow, Rusya, 27 - 29 Mart 2024, ss.1-6, (Tam Metin Bildiri)

5. A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection

Aydin M., Taskiran M., Kahraman N., Dudukcu H. V.

2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA), Nabeul, Tunus, 20 - 23 Eylül 2023, ss.1-6, (Tam Metin Bildiri)

6. Senkronize Diyabet Takibi Sistemi

Kahraman M., Mutlu Ü., Ertürk M. A., Yıldız H., Düdükçü H. V., Kurt S., et al.

58. Ulusal Diyabet Kongresi, Antalya, Türkiye, 11 - 14 Mayıs 2022, ss.294-297, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

7. Physiotherapy Activities Classification with Deep Neural Networks

Düdükçü H. V., Taşkıran M., Dudukcu M. Z.

2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022, Antalya, Türkiye, 7 - 09 Eylül 2022, (Tam Metin Bildiri)

8. Unmanned Aerial Vehicles (UAVs) Battery Power Anomaly Detection Using Temporal Convolutional Network with Simple Moving Average Algorithm

DÜDÜKÇÜ H. V., TAŞKIRAN M., KAHRAMAN N.

16th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2022, Biarritz, Fransa, 8 - 12 Ağustos 2022, (Tam Metin Bildiri)

Kitaplar 2

1. Time Series Prediction From Commercial Aircraft Acceleration Sensor Data with Deep Neural Networks: A Benchmark Study

Düdükçü H. V., Taşkıran M.

Academic Studies in Engineering, Prof. Dr. Çoşkun Özalp;,Doç. Dr. Savaş Bayram;,Doç. Dr. Mahmut Kayar, Editör, Gece Kitaplığı, Ankara, ss.33-46, 2023

2. ECG DATA ANOMALIES DETECTION WITH STACKED AUTOENCODER ON LOW-POWER AND LOW-MEMORY MICROCONTROLLERS

Düdükçü H. V., Taşkıran M.

Current Research in Engineering, Assoc. Prof. Dr. Selahattin Bardak,Assoc. Prof. Dr. Ümit Ayata, Editör, Gece Kitaplığı, Ankara, ss.275-289, 2023

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

204

H-İndeks (WoS)

Atıf (Scopus)

260

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Proje

Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları