Asst. Prof. Murat TAŞKIRAN

Publication Network

Articles 30

1. Fed3C: federated clustering-based centralized classification

AKPINAR E., BOLAT B., TAŞKIRAN M.

Knowledge and Information Systems , vol.68, no.1, 2026 (SCI-Expanded, Scopus)

2. PARS: Performance-driven adam-based resilient scaffold for federated learning

Akpinar E., Taşkıran M., Bolat B.

INFORMATION SCIENCES , vol.744, 2026 (SCI-Expanded, Scopus)

3. 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 , vol.15, no.3, pp.797-808, 2025 (Scopus, TRDizin)

4. Enhancing Finger Vein Classification through CLAHE and Sobel Filtering with Two Channel Hybrid Convolutional Machine Learning Algorithm

Cansız B., Taşkıran M.

Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi , vol.27, no.80, pp.240-246, 2025 (TRDizin)

5. The scientific outputs of earthquakes in Türkiye: A bibliometric analysis

Yılmaz S., Acar U., Akbaba M. F., Akbulut T., Akgün C., Akın O., et al.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI , vol.43, no.2, pp.513-522, 2025 (ESCI, Scopus)

6. Yinelemeli Sinir Ağlarıyla GNSS Verilerinde Birleştirilmiş ve Bireysel Model Karşılaştırılması

Şimşek M., Taşkıran M., Doğan U.

GEOMATIK , vol.10, no.1, pp.65-74, 2025 (ESCI)

7. A Neural Network-Based Approach to Determining the Mechanical Design Dimensions of Asynchronous Machines

Nur Ipek S., Taşkıran M., Bekiroğlu K. N.

IEEE ACCESS , vol.13, pp.47805-47819, 2025 (SCI-Expanded, Scopus)

8. An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines

Ipek S. N., Bekiroğlu K. N., Taşkıran M.

IEEE ACCESS , vol.13, pp.96857-96873, 2025 (SCI-Expanded, Scopus)

9. MYFED: a dataset of affective face videos for investigation of emotional facial dynamics as a soft biometric for person identification

Saracbasi Z. N., Erdem C. E., Taskiran M., Kahraman N.

MACHINE VISION AND APPLICATIONS , vol.36, no.8, pp.1-15, 2025 (SCI-Expanded, Scopus)

10. Modelling of GNSS station position time series using deep learning approaches

Şimşek M., Taşkıran M., Doğan U.

EARTH SCIENCE INFORMATICS , vol.18, no.96, pp.1-22, 2025 (SCI-Expanded, Scopus)

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

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

IEEE ACCESS , vol.13, no.13, pp.124115-124128, 2025 (SCI-Expanded, Scopus)

12. Machine learning approach for GNSS geodetic velocity estimation

ÖZARPACI S., KILIÇ B., BAYRAK O. C., TAŞKIRAN M., DOĞAN U., Floyd M.

GPS Solutions , vol.28, no.2, 2024 (SCI-Expanded, Scopus) Sustainable Development

13. Optimal induction machine parameter estimation method with artificial neural networks

İpek S. N., Taşkıran M., Bekiroğlu K. N., Ayçiçek E.

Electrical Engineering , vol.106, no.2, pp.1959-1975, 2024 (SCI-Expanded, Scopus)

14. 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 , vol.36, no.3, 2024 (SCI-Expanded, Scopus)

15. An AI based classifier model for lateral pillar classification of Legg–Calve–Perthes

Soydan Z., Saglam Y., Key S., Kati Y. A., Taskiran M., Kiymet S., et al.

Scientific Reports , vol.13, no.1, 2023 (SCI-Expanded, Scopus)

16. Deep Learning-Based Driver Assistance System

Kurtkaya B., Tezcan A., TAŞKIRAN M.

Electrica , vol.23, no.3, pp.607-618, 2023 (ESCI, Scopus, TRDizin) Sustainable Development

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

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

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , vol.123, no.Part C, pp.1-17, 2023 (SCI-Expanded, Scopus)

18. 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 , vol.133, 2023 (SCI-Expanded, Scopus)

19. A deep neural network based toddler tracking system

Guney H., Aydin M., TAŞKIRAN M., KAHRAMAN N.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , vol.34, no.14, 2022 (SCI-Expanded, Scopus)

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

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

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING , vol.41, no.3, pp.1208-1223, 2021 (SCI-Expanded, Scopus) Sustainable Development

21. Deep learning based tobacco products classification

TAŞKIRAN M., ÇİMEN S.

International Journal of Computing Science and Mathematics , vol.13, no.2, pp.167-176, 2021 (ESCI, Scopus)

22. Hybrid face recognition under adverse conditions using appearance-based and dynamic features of smile expression

TAŞKIRAN M., KAHRAMAN N., EROĞLU ERDEM Ç.

IET BIOMETRICS , vol.10, no.1, pp.99-115, 2021 (SCI-Expanded, Scopus)

23. Face recognition: Past, present and future (a review)

Taşkıran M., Kahraman N., Eroğlu Erdem E.

DIGITAL SIGNAL PROCESSING , vol.106, 2020 (SCI-Expanded, SSCI, Scopus)

24. Second Generation Current Conveyor Based Floating FractionalOrder Memristance Simulator and a New Dynamical System

Çam Taşkıran Z. G., Taşkıran M.

CYBERNETICS AND INFORMATION TECHNOLOGIES , vol.20, no.5, pp.68-80, 2020 (ESCI, Scopus)

25. A novel memristive true random number generator design

Çam Z. G., Taşkıran M., Kıllıoğlu M., Kahraman N., Sedef H.

COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING , vol.38, no.6, pp.1931-1947, 2019 (SCI-Expanded, Scopus)

26. Secure Data Transmission for Authentication with Multiple Biometric Systems Using Steganography and Encryption

Kıllıoğlu M., Taşkıran M., Kahraman N.

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI , vol.24, no.2, pp.173-179, 2018 (ESCI, TRDizin)

27. Inverter air conditioner intelligent system design

Taşkıran M., Kahraman N., Usta Yoğun H.

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI , vol.24, no.2, pp.205-213, 2018 (TRDizin)

28. Novel Feature Extraction Methodology with Evaluation in Artificial Neural Networks Based Fingerprint Recognition System

KAHRAMAN N., ÇAM TAŞKIRAN Z. G., TAŞKIRAN M.

TEHNICKI VJESNIK-TECHNICAL GAZETTE , vol.25, pp.112-119, 2018 (SCI-Expanded, Scopus)

29. A NEW CHAOTIC ATTRACTOR FOR RANDOM NUMBER GENERATION BASED ON MEMRISTIVE CIRCUIT

Çam Z. G., Taşkıran M., Kahraman N., Sedef H.

World Journal Of Engineering Research and Technology , vol.4, pp.1-10, 2018 (Peer-Reviewed Journal)

30. THE NOVEL METHOD FOR RECOGNITION OF AMERICAN SIGN LANGUAGE WITH RING PROJECTION AND DISCRETE WAVELET TRANSFORM

Taşkıran M., Çimen S., Çam Z. G.

World Journal of Engineering Research and Technology , vol.4, no.1, pp.1-10, 2018 (Peer-Reviewed Journal)

Papers Presented at Peer-Reviewed Scientific Conferences 33

1. İnce Ayar ile Geliştirilmiş Gemma 3 Tabanlı Müşteri Temsilcisi Değerlendirme Sistemi

Taşkıran M., Aslan E., Kahraman N.

17. Uluslararası Akademik Araştırmalar Kongresi (ICAR), Ankara, Turkey, 19 - 20 February 2026, pp.187-191, (Full Text)

2. 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, Finland, 12 - 16 October 2025, pp.625-629, (Full Text)

3. NSGA-II Based Optimization of LLC Resonant Converter for 270V to 28V DC-DC Conversion in More Electric Aircraft

Kıymaz T. Y., Taşkıran M., Obdan A. H., Bekiroğlu K. N.

2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), Ankara, Turkey, 23 - 24 May 2025, pp.1-5, (Full Text)

4. Havacılık Uygulamalarında Kullanılan Dc-Dc Dönüştürücülerin NSGA-III Tabanlı Tasarım Optimizasyonu

Kıymaz T. Y., Obdan A. H., Bekiroğlu K. N., Taşkıran M.

15. Uluslararası Akademik Araştırmalar Konferansı, İstanbul, Turkey, 6 - 07 March 2025, pp.444-452, (Full Text)

5. Comparative Evaluation of Regression Models and Bi-GRU for GNSS Position Time Series Forecasting

Şimşek M., Taşkıran M., Doğan U.

2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA), Shenyang, China, 17 - 19 January 2025, pp.1-5, (Full Text)

6. Federated Learning Application in Human Activity Recognition: The Impact of Aggregation Functions

Cansız B., Taşkıran M.

2024 15th National Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 28 - 30 November 2024, pp.1-5, (Full Text)

7. Modified SWIN-IR Based Super Resolution Approach for Thermal Imagery

Ekşi E., Taşkıran M.

2024 15th National Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 28 - 30 November 2024, pp.1-5, (Full Text)

8. A Benchmark Study in Sentiment Analysis with Deep Neural Networks

Elverişli M. Ç., Taşkıran M.

2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), Shenzhen, China, 31 May - 02 June 2024, pp.1-5, (Full Text)

9. Identification Of Equivalent Circuit Parameters Of Permanent Magnet Synchronous Machine With Cascade-Forward Neural Network

İpek S. N., Bekiroğlu K. N., Taşkıran M.

Grad Colloquium'24 Artificial Intelligence, İstanbul, Turkey, 04 June 2024, pp.36, (Summary Text)

10. Optuna Based Optimized Transformer Model Approach in Bitcoin Time Series Analysis

Yildirim B., Taşkıran M.

2024 26th International Conference on Digital Signal Processing and its Applications (DSPA), Moscow, Russia, 27 - 29 March 2024, pp.1-6, (Full Text)

11. An Optimal Flow for Face Recognition: Analysis/Effects of Face Detection, Alignment and Cropping Techniques

Gülşen M. F., Taşkıran M., Taşçı S. E., Kahraman N.

2024 26th International Conference on Digital Signal Processing and its Applications (DSPA), Moscow, Russia, 27 - 29 March 2024, pp.1-6, (Full Text)

12. 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, Russia, 27 - 29 March 2024, pp.1-6, (Full Text)

13. FedLDC: Federated Learning with Loss-Dependent Coefficients in Pedestrian Detection

Akpınar E., Bolat B., Taşkıran M.

2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 21 - 22 March 2024, pp.256-261, (Full Text)

14. Ensemble Learning Methodologies for Electrocardiogram Analysis: A Comparative Study

Yildirim B. E., Taskiran M., Bekiroğlu K. N.

2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangaon, India, 24 - 25 January 2024, pp.1-6, (Full Text) Sustainable Development

15. Şubat 2023 Depremlerinin Bölgede Oluşturduğu Etkiler ve Yapay Zeka ile Afet Yönetim Planlaması

Doğan U., Yüzer N., Acar U., Akbaba M. F., Akbulut M. T., Akgün C., et al.

Türkiye Ulusal Jeodezi Komisyonu (TUJK) XXII. Sempozyumu 2023, Trabzon, Turkey, 29 November - 01 December 2023, pp.5-6, (Summary Text)

16. 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, Tunisia, 20 - 23 September 2023, pp.1-6, (Full Text)

17. Low Error Rate Induction Machine Parameter Estimation with Recurrent Neural Network

Ipek S. N., TAŞKIRAN M., BEKİROĞLU K. N., AYÇİÇEK E.

2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023, Zarqa, Jordan, 27 - 28 December 2023, (Full Text)

18. 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, France, 8 - 12 August 2022, (Full Text)

Books 2

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

Düdükçü H. V., Taşkıran M.

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