Prof. Dr. Alper Baştürk — Erciyes University

About

Curriculum Vitae

Dr. Baştürk received his BS degree in Electronics Engineering from Erciyes University in July 1998. Following his graduation, he joined the Department of Electronics Engineering as a research assistant. He subsequently completed his MS degree in August 2001 and his PhD in November 2006 at the same institution. In 2006, he also joined the Department of Computer Engineering at Erciyes University as a faculty member.

His academic career includes post-doctoral research at Rensselaer Polytechnic Institute (RPI). Currently, he serves as a full Professor in the Computer Engineering Department at Erciyes University.

Throughout his career, Dr. Baştürk has been interested in the architecture of intelligence—specifically how algorithms can be designed to process complex data and optimize decisions.

Dr. Baştürk is dedicated to translating fundamental research into efficient, scalable computational systems.

Education

Post-Doctoral Researcher (2012)

Computer Science

Rensselaer Polytechnic Institute (RPI)

Ph.D. (2001 – 2006)

Electronic Engineering

Erciyes University
Thesis: Noise Removal and Image Enhancement in Digital Images using Methods based on Soft Computing

M.Sc. (1998 – 2001)

Electronic Engineering

Erciyes University
Thesis: Fundamentals of Server-Based Applications and a Virtual Store Application

B.Sc. (1994 – 1998)

Electronic Engineering

Erciyes University

Professional Information

Current Role Professor (Prof. Dr.) @ Erciyes University
Director @ ERU Artificial Intelligence and Big Data Application and Research Center (ERU AI-ARC) (2025 - Present)
Founder: Sardis Innovation
Professional Focus Entrepreneur | FinTech 5.0 | Deep Learning & Signal Processing | AI Systems Engineering
Department Computer Engineering
Faculty Faculty of Engineering
Location Kayseri, Türkiye
Email ab@erciyes.edu.tr
alperbasturk@gmail.com

Technical Scope

Financial Technologies (FinTech): Designing and developing proprietary algorithmic trading architectures. His work focuses on analyzing market dynamics through statistical signal processing and modeling price actions using high-performance computing structures.
Medical Decision Support Systems: Researching and implementing AI-driven models to assist in clinical decision-making processes and improve diagnostic accuracy through advanced signal processing.
Human Resources Technologies: Developing next-generation, intelligent solutions to optimize HR workflows and enhance organizational decision-making using data analysis.
Generative AI & LLMs: Leading studies on Large Language Model adaptation and curriculum development for Prompt Engineering, bridging the gap between theoretical AI models and practical application.
High-Performance Computing (HPC): Architecting efficient, scalable systems using C programming and GPU acceleration to solve complex computational problems in real-time.
Beyond the Lab: Dedicated Snooker Enthusiast and Curling Player. Proudly serving as the Advisory Professor for the Erciyes University Billiards Club.

Publications

Selected Works

A selection of peer-reviewed journal articles and conference papers.

International SCI/E Publications

39.

2024

Deep learning for image-based detection of weeds from emergence to maturity in wheat fields

Guzel M., Turan B., Kadioglu I., Baştürk A., Sin B., Sadeghpour A.

Smart Agricultural Technology, Vol. 9, 2024 (Scopus)

38.

2024

A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System

Lubbad M. A. H., Leblebicioğlu Kurtuluş İ., Karaboğa D., Kılıç K., Baştürk A., Akay B., et al.

Journal of Imaging Informatics in Medicine, Vol. 37, No. 5, pp. 2559–2580, 2024 (SCI-Expanded)

37.

2024

A robust deep learning model for the classification of dental implant brands

Leblebicioğlu Kurtuluş İ., Lubbad M., Yilmaz O. M. D., Kılıç K., Karaboğa D., Baştürk A., et al.

Journal of Stomatology Oral and Maxillofacial Surgery, Vol. 125, No. 5, 2024 (SCI-Expanded, Scopus)

36.

2024

Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review

Lubbad M., Karaboğa D., Baştürk A., Akay B., Nalbantoglu U., Pacal I.

Neural Computing & Applications, Vol. 36, No. 12, pp. 6355–6379, 2024 (SCI-Expanded, Scopus)

35.

2024

Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate

Karagöz M. A., Nalbantoglu Ö. U., Karaboğa D., Akay B., Basturk A., Ulutabanca H., et al.

Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 32, No. 3, 2024 (SCI-Expanded, Scopus, TR Dizin)

34.

2023

A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms

Coşkun D., Karaboğa D., Baştürk A., Akay B., Nalbantoğlu Ö. U., Doğan S., et al.

Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 31, No. 7, pp. 1294–1313, 2023 (SCI-Expanded, Scopus, TR Dizin)

33.

2023

Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)

Karaman A., Pacal I., Baştürk A., Akay B., Nalbantoglu U., Coskun S., et al.

Expert Systems With Applications, Vol. 221, 2023 (SCI-Expanded)

32.

2023

Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection

Karaman A., Karaboğa D., Pacal I., Akay B., Baştürk A., Nalbantoglu U., et al.

Applied Intelligence, Vol. 53, No. 12, pp. 15603–15620, 2023 (SCI-Expanded, Scopus)

31.

2023

An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images

Karagöz M. A., Akay B., Baştürk A., Karaboğa D., Nalbantoğlu Ö. U.

Neural Computing and Applications, Vol. 35, No. 14, pp. 10605–10619, 2023 (SCI-Expanded, Scopus)

30.

2022

Unclonable Features via Electrospraying of Bulk Polymers

Esidir A., Kiremitler N. B., Kalay M., Baştürk A., Önses M. S.

ACS Applied Polymer Materials, Vol. 4, No. 8, pp. 5952–5964, 2022 (SCI-Expanded, Scopus)

29.

2022

A new lightweight convolutional neural network for radiation-induced liver disease classification

Alici-Karaca D., Akay B., Yay A. H., Suna P., Nalbantoğlu Ö. U., Karaboğa D., et al.

Biomedical Signal Processing and Control, Vol. 73, 2022 (SCI-Expanded, Scopus)

28.

2022

An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets

Pacal I., Karaman A., Karaboğa D., Akay B., Baştürk A., Nalbantoglu U., et al.

Computers in Biology and Medicine, Vol. 141, 2022 (SCI-Expanded, Scopus)

27.

2021

Performance Improvement of Pre-trained Convolutional Neural Networks for Action Recognition

Özcan T., Baştürk A.

Computer Journal, Vol. 64, No. 11, pp. 1715–1730, 2021 (SCI-Expanded, Scopus)

26.

2021

ERUSLR: A new Turkish sign language dataset and its recognition using hyperparameter optimization aided convolutional neural network

Özcan T., Baştürk A.

Journal of the Faculty of Engineering and Architecture of Gazi University, Vol. 36, No. 1, pp. 527–542, 2021 (SCI-Expanded, Scopus, TR Dizin)

25.

2020

Human action recognition with deep learning and structural optimization using a hybrid heuristic algorithm

Özcan T., Baştürk A.

Cluster Computing-the Journal of Networks Software Tools and Applications, Vol. 23, No. 4, pp. 2847–2860, 2020 (SCI-Expanded, Scopus)

24.

2020

A comprehensive review of deep learning in colon cancer

Pacal I., Karaboğa D., Baştürk A., Akay B., Nalbantoglu U.

Computers in Biology and Medicine, Vol. 126, 2020 (SCI-Expanded, Scopus)

23.

2020

Static facial expression recognition using convolutional neural networks based on transfer learning and hyperparameter optimization

Özcan T., Baştürk A.

Multimedia Tools and Applications, Vol. 79, pp. 26587–26604, 2020 (SCI-Expanded, Scopus)

22.

2020

Metabolic Imaging Based Sub-Classification of Lung Cancer

Bicakci M., Ayyıldız O., Aydın Z., Baştürk A., Karacavus S., Yılmaz B.

IEEE Access, Vol. 8, pp. 218470–218476, 2020 (SCI-Expanded, Scopus)

21.

2019

Transfer learning-based convolutional neural networks with heuristic optimization for hand gesture recognition

Özcan T., Baştürk A.

Neural Computing & Applications, Vol. 31, No. 12, pp. 8955–8970, 2019 (SCI-Expanded, Scopus)

20.

2018

A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization

Badem H., Baştürk A., Caliskan A., Yüksel M. E.

Applied Soft Computing, Vol. 70, pp. 826–844, 2018 (SCI-Expanded, Scopus)

19.

2018

Performance improvement of deep neural network classifiers by a simple training strategy

Çalışkan A., Yüksel M. E., Badem H., Baştürk A.

Engineering Applications of Artificial Intelligence, Vol. 67, pp. 14–23, 2018 (SCI-Expanded, Scopus)

18.

2018

Classification of high resolution hyperspectral remote sensing data using deep neural networks

Yüksel M. E., Basturk N. S., Badem H., Çalışkan A., Baştürk A.

Journal of Intelligent & Fuzzy Systems, Vol. 34, No. 4, pp. 2273–2285, 2018 (SCI-Expanded, Scopus)

17.

2017

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited-memory BFGS optimization algorithms

Badem H., Baştürk A., Çalışkan A., Yüksel M. E.

Neurocomputing, Vol. 266, pp. 506–526, 2017 (SCI-Expanded, Scopus)

16.

2017

Parallel population-based algorithm portfolios: An empirical study

Akay R., Baştürk A., Kalınlı A., Yao X.

Neurocomputing, Vol. 247, pp. 115–125, 2017 (SCI-Expanded, Scopus)

15.

2017

A Deep Neural Network Classifier for Decoding Human Brain Activity Based on Magnetoencephalography

Çalışkan A., Yüksel M. E., Badem H., Baştürk A.

Elektronika Ir Elektrotechnika, Vol. 23, No. 2, pp. 63–67, 2017 (SCI-Expanded, Scopus)

14.

2017

Diagnosis of Parkinson's Disease by Using a Deep Neural Network Classifier

Çalışkan A., Badem H., Baştürk A., Yüksel M. E.

Istanbul University-Journal of Electrical and Electronics Engineering, Vol. 17, No. 2, 2017 (ESCI, Scopus, TR Dizin)

13.

2015

Artificial bee colony optimization for modelling of indoor PLC channels: A case study from Turkey

Develi I., Kabalcı Y., Baştürk A.

Electric Power Systems Research, Vol. 127, pp. 73–79, 2015 (SCI-Expanded, Scopus)

12.

2014

Performance of LDPC coded image transmission over realistic PLC channels for smart grid applications

Develi I., Kabalci Y., Baştürk A.

International Journal of Electrical Power & Energy Systems, Vol. 62, pp. 549–555, 2014 (SCI-Expanded, Scopus)

11.

2014

A novel fuzzy filter for speckle noise removal

Soytürk M. A., Baştürk A., Yüksel M. E.

Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 22, No. 5, pp. 1367–1381, 2014 (SCI-Expanded, Scopus, TR Dizin)

10.

2013

Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm

Baştürk A., Akay R.

Information Sciences, Vol. 253, pp. 34–55, 2013 (SCI-Expanded, Scopus)

2013

Highly Accurate Analytic Approximation to the Gaussian Q-function Based on the Use of Nonlinear Least Squares Optimization Algorithm

Develi I., Baştürk A.

Journal of Optimization Theory and Applications, Vol. 159, No. 1, pp. 183–191, 2013 (SCI-Expanded, Scopus)

2012

Parallel Implementation of Synchronous Type Artificial Bee Colony Algorithm for Global Optimization

Baştürk A., Akay R.

Journal of Optimization Theory and Applications, Vol. 155, No. 3, pp. 1095–1104, 2012 (SCI-Expanded, Scopus)

2012

Application of Type-2 Fuzzy Logic Filtering to Reduce Noise in Color Images

Yüksel M. E., Baştürk A.

IEEE Computational Intelligence Magazine, Vol. 7, No. 3, pp. 25–35, 2012 (SCI-Expanded, Scopus)

2009

Efficient edge detection in digital images using a cellular neural network optimized by differential evolution algorithm

Bastuerk A., Guenay E.

Expert Systems with Applications, Vol. 36, No. 2, pp. 2645–2650, 2009 (SCI-Expanded, Scopus)

2008

Impulse Noise Removal From Digital Images by a Detail-Preserving Filter Based on Type-2 Fuzzy Logic

Yıldırım M. T., Bastuerk A., Yueksel M. E.

IEEE Transactions on Fuzzy Systems, No. 4, pp. 920–928, 2008 (SCI-Expanded, Scopus)

2006

Efficient distortion reduction of mixed noise filters by neuro-fuzzy processing

Yuksel M. E., Basturk A.

Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings, Vol. 4252, pp. 331–339, 2006 (SCI-Expanded, Scopus)

2005

A simple generalized neuro-fuzzy operator for efficient removal of impulse noise from highly corrupted digital images

Yuksel M. E., Basturk A.

AEU-International Journal of Electronics and Communications, Vol. 59, No. 1, pp. 1–7, 2005 (SCI-Expanded, Scopus)

2004

Detail-preserving restoration of impulse noise corrupted images by a switching median filter guided by a simple neuro-fuzzy network

Yuksel M. E., Basturk A., Besdok E.

EURASIP Journal on Applied Signal Processing, Vol. 2004, No. 16, pp. 2451–2461, 2004 (SCI-Expanded, Scopus)

2003

Efficient removal of impulse noise from highly corrupted digital images by a simple neuro-fuzzy operator

Yuksel M. E., Basturk A.

AEU-International Journal of Electronics and Communications, Vol. 57, No. 3, pp. 214–219, 2003 (SCI-Expanded, Scopus)

International Conference Papers

40.

2024

Efficient Unsupervised Domain Adaptation with Peft Combinations

Rawhani M., Karaboğa D., Nalbantoğlu Ö. U., Baştürk A., Akay B.

9th International Conference on Computer Science and Engineering, UBMK 2024, Antalya, Türkiye, 26 October 2024, pp. 169–174, (Full paper)

39.

2023

Counting of Weed Numbers in Farms by Deep Learning-Strongsort

Güzel M., Turan B., Şin B., Baştürk A.

8th International Congress on Life, Engineering, and Applied Sciences in a Changing World Proceedings Book, Türkiye, 7 January 2023, pp. 1–8, (Full paper)

38.

2022

Deep Learning Based Steatosis Quantification of Liver Histopathology Images Using Unsupervised Feature Extraction

Karagöz M. A., Karaboğa D., Akay B., Baştürk A., Nalbantoglu O. U.

2nd International Conference on Computing and Machine Intelligence, ICMI 2022, İstanbul, Türkiye, 15–16 July 2022, (Full paper)

37.

2021

Efficient Detection of Counterfeit Banknotes Using Adaptive Network Based Fuzzy Inference Systems

Baştürk A., Sarıkaya Baştürk N., Degbedzuı D. K., Yüksel M. E.

13th International Conference on Electrical and Electronics Engineering - ELECO 2021, Bursa, Türkiye, 25 November 2021, (Full paper)

36.

2021

Developing a Deep Learning Network For Recognition of Dental Implant Systems

Leblebicioğlu Kurtuluş İ., Karaboğa D., Akay B., Baştürk A., Durmaz Yılmaz Ö. M., Kılıç K., et al.

25th Scientific Congress of Turkish Prosthodontics and Implantology Association, Muğla, Türkiye, 4–7 November 2021, (Abstract)

35.

2019

Evrişimli Sinir Ağı ile Statik Görüntü Tabanlı Duygu Tanıma (Static Image-Based Emotion Recognition Using a Convolutional Neural Network)

Özcan T., Baştürk A.

27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Türkiye, 24–26 April 2019, (Full paper)

34.

2018

Parmak İzi Öznitelik Kodları ve Derin Sinir Ağları ile Parmak İzi Tanıma (Fingerprint Recognition by Deep Neural Networks and Fingercodes)

Baştürk A., Sarıkaya Baştürk N., Qurbanov O.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Türkiye, 2–5 May 2018, pp. 1–4, (Full paper)

33.

2017

Channel Estimation in OFDM System Using Multi-Layered Perceptron Neural Network Combined with Artificial Bee Colony Algorithm

Taşpınar N., Rajput S. M., Sarıkaya Baştürk N., Baştürk A.

33rd Research World International Conference, Barcelona, Spain, 24–25 July 2017, pp. 5–9, (Full paper)

32.

2016

Yığınlanmış Özdevinimli Kodlayıcı ile Parkinson Hastalığının Sınıflandırılması ve Teşhis Edilmesi (Classification and Diagnosis of Parkinson's Disease by Stacked Autoencoder)

Badem H., Caliskan A., Baştürk A., Yüksel M. E.

2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Bursa, Türkiye, 1–3 December 2016, pp. 499–502, (Full paper)

31.

2016

Derin Öğrenme ile Sınıflandırma Üzerine Karşılaştırmalı Bir Çalışma (A Comparative Study on Classification by Deep Learning)

Caliskan A., Badem H., Baştürk A., Yüksel M. E.

2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016, Bursa, Türkiye, 1–3 December 2016, pp. 503–506, (Full paper)

30.

2016

Derin Öğrenme ile Kardiyak Aritmi Hastalığının Sınıflandırılması ve Teşhisi (Classification and Diagnosis of Cardiac Arrhythmia by Deep Learning)

Çalışkan A., Badem H., Baştürk A., Yüksel M. E.

International Artificial Intelligence and Data Processing Symposium (IDAP-2016), Malatya, Türkiye, 17–18 September 2016, (Full paper)

29.

2016

A New Synchronous Parallel Artificial Bee Colony Algorithm

Aslan S., Badem H., Karaboğa D., Baştürk A.

International Conference on Engineering Technology and Applied Sciences (ICETAS-2016), Afyon, Türkiye, 21–22 April 2016, pp. 1360–1365, (Full paper)

28.

2016

Senkronize Paralel Yapay Arı Koloni Algoritması için Yeni Bir Göçmen Üretme Yaklaşımı (A New Migrant Generation Approach for the Synchronous Parallel Artificial Bee Colony Algorithm)

Aslan S., Badem H., Karaboğa D., Baştürk A.

International Conference on Natural Science and Engineering (ICNASE-16), Kilis, Türkiye, 19–20 March 2016, pp. 734–744, (Full paper)

27.

2016

Artificial Bee Colony Algorithm Based Parameter Tuning of Kalman Filter for Object Tracking

Özcan T., Badem H., Baştürk A.

International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications (Ic-Smhd-2016), Nevşehir, Türkiye, 18–21 May 2016, (Abstract)

26.

2016

Arti cial Bee Colony Algorithm Based Parameter Tuning of Kalman Filter for Object Tracking

Özcan T., Badem H., Baştürk A.

International Conference on Information Complexity and Statistical Modelling in High Dimensions with Applications, Nevşehir, Türkiye, 18–21 May 2016, pp. 73, (Abstract)

25.

2016

Kalman Süzgeci Parametrelerinin Nesne Takibi Amacıyla Zeki Optimizasyon Algoritmalarıyla Belirlenmesi (Determination of Kalman Filter Parameters for Object Tracking by Intelligent Optimization Algorithms)

Özcan T., Baştürk A.

1st International Conference on Engineering Technology and Applied Sciences, Afyon, Türkiye, 21–22 April 2016, pp. 1246–1250, (Full paper)

24.

2016

A New Synchronous Parallel Artificial Bee Colony Algorithm

Aslan S., Badem H., Karaboğa D., Baştürk A.

International Conference on Engineering Technology and Applied Sciences (ICETAS 2016), Afyon, Türkiye, 21–22 April 2016, pp. 1368–1373, (Full paper)

23.

2016

Determination of Kalman Filter Parameters by Using Intelligent Optimization Algorithms for Object Tracking

Özcan T., Baştürk A.

1st International Conference on Engineering Technology and Applied Sciences, Afyon, Türkiye, 21–22 April 2016, pp. 1–5, (Full paper)

22.

2016

Classification of Heart Diseases by Using a Stacked Autoencoder Deep Neural Network

Baştürk A., Çalışkan A., Badem H., Yüksel M. E.

International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Türkiye, 19–20 March 2016, (Full paper)

21.

2016

A New Emigrant Creation Strategy for Synchronous Parallel Artificial Bee Colony Algorithm

Aslan S., Badem H., Karaboğa D., Baştürk A.

International Conference on Natural Science and Engineering (ICNASE’16), Kilis, Türkiye, 19–20 March 2016, (Full paper)

20.

2015

Accelerating Discrete Haar Wavelet Transform on Gpu Cluster

Aslan S., Badem H., Karaboğa D., Baştürk A., Özcan T.

9th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Türkiye, 26–28 November 2015, pp. 1237–1240, (Full paper)

19.

2014

A Type-2 Fuzzy Edge Detector-Based Speckle Noise Remover

Soytürk M. A., Baştürk A., Yüksel M. E.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23–25 April 2014, pp. 955–958, (Full paper)

18.

2014

Gezgin Satıcı Problemi için Paralel Yapay Arı Koloni Algoritması (Parallel Artificial Bee Colony Algorithm for the Traveling Salesman Problem)

Akay R., Baştürk A.

2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23–25 April 2014, pp. 501–505, (Full paper)

17.

2012

High performance fuzzy systems for real world problems

Ross O. M., Cruz R. S., Castillo O., Baştürk A.

Advances in Fuzzy Systems, 2012 (Scopus)

16.

2011

Comparison of Fine Grained and Coarse Grained Parallel Models in Particle Swarm Optimization Algorithm

Baştürk A., Akay R., Kalınlı A.

2nd World Conference on Information Technology WCIT-2011, Antalya, Türkiye, 23–27 November 2011, (Full paper)

15.

2011

İşaret İşleme Algoritmalarının GPU Üzerinde Gerçekleştirilerek Hesaplama Sürelerinin Azaltılması (Reducing Computation Time by GPU Implementation of Signal Processing Algorithms)

Baştürk A., Akay R., Kalınlı A., Yüksel M. E.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Türkiye, 20–22 April 2011, pp. 262–265, (Full paper)

14.

2011

Dürtü Gürültüsü Gidermede Kullanılan 2. Tip Bulanık Çıkarım Sisteminin Kural Bazlı Optimizasyonu (Rule-Based Optimization of a Type-2 Fuzzy Inference System Used for Impulse Noise Removal)

Soytürk M. A., Baştürk A., Yüksel M. E.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Türkiye, 20–22 April 2011, pp. 833–836, (Full paper)

13.

2011

İşaret İşleme Algoritmalarının GPU Üzerinde Gerçekleştirilerek Hesaplama Sürelerinin Azaltılması (Reducing Computation Time by GPU Implementation of Signal Processing Algorithms)

Baştürk A., Akay R., Kalınlı A., Yüksel M. E.

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 20–22 April 2011, pp. 1, (Full paper)

12.

2011

Dürtü Gürültüsü Gidermede Kullanılan 2 Tip Bulanık Çıkarım Sisteminin Kural Bazlı Optimizasyonu (Rule-Based Optimization of a Type-2 Fuzzy Inference System Used for Impulse Noise Removal)

Soytürk M. A., Baştürk A., Yüksel M. E.

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), Antalya, Türkiye, 20–22 April 2011, pp. 833–836, (Full paper)

11.

2007

A detail-preserving type-2 fuzzy logic filter for impulse noise removal from digital images

Yıldırım M. T., Bastuerk A., Yueksel M. E.

IEEE International Conference on Fuzzy Systems, London, Kanada, 23–26 July 2007, pp. 750–752, (Full paper)

10.

2007

A Detail Preserving Type 2 Fuzzy Logic Filter for Impulse Noise Removal from Digital Images

Yıldırım M. T., Baştürk A., Yüksel M. E.

2007 IEEE International Fuzzy Systems Conference, London, Kanada, 23–26 July 2007, pp. 1–6, (Full paper)

2007

A type-2 fuzzy logic operator for impulse noise removal from digital images

Yıldırım M. T., Baştürk A., Yüksel M. E.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 June – 13 July 2007, pp. 479–482, (Full paper)

2007

Application of Type 2 Fuzzy Logic to Detail Preserving Restoration of Digital Images Corrupted by Impulse Noise

Yıldırım M. T., Baştürk A., Yüksel M. E.

International Symposium on Innovations in Intelligent Systems and Applications INISTA 2007, İstanbul, Türkiye, 20–23 June 2007, (Full paper)

2007

Adaptive neuro-fuzzy inference system for speckle noise reduction in SAR images

Baştürk A., Yüksel M. E.

2007 9th International Symposium on Signal Processing and Its Applications, ISSPA 2007, Sharjah, United Arab Emirates, 12–15 February 2007, (Full paper)

2007

Inspection of defects in fabrics using gabor wavelets and principle component analysis

Baştürk A., Ketencioglu H., Yugnak Z., Yüksel M. E.

2007 9th International Symposium on Signal Processing and Its Applications, ISSPA 2007, Sharjah, United Arab Emirates, 12–15 February 2007, (Full paper)

2006

Efficient distortion reduction of mixed noise filters by neuro-fuzzy processing

Yüksel M. E., Baştürk A.

10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, Bournemouth, United Kingdom, 9–11 October 2006, Vol. 4252 Lnai - Ii, pp. 331–339, (Full paper)

2004

Detail-preserving restoration of impulse noise corrupted images by a switching median filter controlled by a neuro-fuzzy network

Yüksel M. E., Baştürk A., Beşdok E., Yıldırım M. T.

IEEE 12th Signal Processing and Communications Applications Conference, Kuşadası, Türkiye, 28–30 April 2004, pp. 87–90

2003

A New Neuro Fuzzy Edge Detector for Efficient Edge Extraction from Digital Images Corrupted by Impulse Noise

Yüksel M. E., Yıldırım M. T., Baştürk A.

12th Int. Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2003), Çanakkale, Türkiye, 2–4 July 2003, (Full paper)

2003

Efficient Blur Reduction of Impulse Noise Removal Operators from Digital Images by A Simple Neuro Fuzzy Impulse Detector

Yüksel M. E., Beşdok E., Baştürk A., Yıldırım M. T.

12th Int. Turkish Symposium on Artificial Intelligence and Neural Networks (TAINN'2003), Çanakkale, Türkiye, 2–4 July 2003, (Full paper)

2002

Noise Removal from Digital Images by Using An Adaptive Fuzzy System

Yüksel M. E., Baştürk A., Yıldırım M. T.

GAP 4th Engineering Congress, Şanlıurfa, Türkiye, 6–8 June 2002, Vol. 1, pp. 616–621, (Full paper)

Book Chapters

2019

Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets

Baştürk A., Badem H., Çalışkan A., Yüksel M. E.

Handbook of Deep Learning Applications, Valentina Emilia Bala, Sanjiban Sekhar Roy, Dharmendra Sharma, Pijush Samui (Eds.), Springer, Cham, pp. 259–292, 2019

National Journal Publications

2024

Geliştirilmiş EfficientNet-B0 mimarisi ile Helikobakter Pilorinin Teşhisi (Diagnosis of Helicobacter pylori with an Improved EfficientNet-B0 Architecture)

Karaca D. A., Akay B., Akay B., Karaboğa D., Karaboğa D., Baştürk A., et al.

Gazi University Journal of Science Part C: Design and Technology, Vol. 12, No. 2, pp. 729–742, 2024 (TR Dizin)

2022

How to Affect the Number of Images on the Success Rate for Detection of Weeds with Deep Learning

Guzel M., Turan B., Kadioglu I., Sin B., Basturk A., Ahmed K. R.

Turkish Journal of Agriculture: Food Science and Technology, Vol. 10, No. 8, pp. 1441–1446, 2022 (TR Dizin)

2019

Lip Reading Using Convolutional Neural Networks with and without Pre-Trained Models

Özcan T., Baştürk A.

Balkan Journal of Electrical and Computer Engineering, Vol. 7, pp. 195–201, 2019 (TR Dizin)

2018

A Comparative Performance Analysis of Various Classifiers for Fingerprint Recognition

Baştürk A., Sarıkaya Baştürk N., Qurbanov O.

Ömer Halisdemir University Journal of Engineering Sciences, Vol. 7, No. 2, pp. 504–513, 2018 (TR Dizin)

2016

Intelligent Optimization Algorithms Aided Kalman Filter Parameters Optimization and Statistical Analysis

Özcan T., Baştürk A.

Sinop University Journal of Natural Sciences, Vol. 1, No. 2, pp. 1–15, 2016 (TR Dizin)

National Conference Papers

39.

2019

Evrişimli Sinir Ağı ile Statik Görüntü Tabanlı Duygu Tanıma (Static Image-Based Emotion Recognition with a Convolutional Neural Network)

Özcan T., Baştürk A.

27th Signal Processing and Applications Conference (SIU 2019), Sivas, Türkiye, 24–26 April 2019, pp. 1–4, (Full paper)

38.

2017

A Fast Firefly Algorithm

Akay R., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU 2017), 5–7 October 2017, (Full paper)

37.

2017

Deep Neural Network Based Diagnosis System for Melanoma Skin Cancer

Baştürk A., Yüksel M. E., Badem H., Çalışkan A.

25th IEEE Signal Processing and Communications Applications Conference (SIU 2017), Antalya, Türkiye, 15–18 June 2017, Vol. 1, (Full paper)

36.

2017

Deep Neural Network Classifier for Hand Movement Prediction

Baştürk A., Yüksel M. E., Çalışkan A., Badem H.

25th IEEE Signal Processing and Communications Applications Conference (SIU 2017), Antalya, Türkiye, 15–18 June 2017, Vol. 1, (Full paper)

35.

2016

The Effect of Autoencoders over Reducing the Dimensionality of A Dermatology Data Set

Çalışkan A., Badem H., Baştürk A., Yüksel M. E.

Medical Technologies Congress (TIPTEKNO 2016), Antalya, Türkiye, 27–29 October 2016, (Full paper)

34.

2016

Classification of Human Activity by Using a Stacked Autoencoder

Badem H., Çalışkan A., Baştürk A., Yüksel M. E.

Medical Technologies Congress (TIPTEKNO 2016), Antalya, Türkiye, 27–29 October 2016, (Full paper)

33.

2016

Öğretme ve Öğrenme Temelli Optimizasyon Algoritması için Paralel Yaklaşımlar (Parallel Approaches for the Teaching–Learning-Based Optimization Algorithm)

Akay R., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU 2016), Düzce, Türkiye, 29 September – 1 October 2016, pp. 168–173, (Full paper)

32.

2015

Cuda ile Hızlandırılmış İki Boyutlu Ayrık Kosinüs Dönüşümü (CUDA-Accelerated Two-Dimensional Discrete Cosine Transform)

Badem H., Aslan S., Özcan T., Baştürk A., Karaboğa D.

4th National High Performance Computing Conference (BAŞARIM 2015), Ankara, Türkiye, 1–2 October 2015, (Full paper)

31.

2014

Cuda Platformunda İki Boyutlu Ayrık Haar Dalgacık Dönüşümü (Two-Dimensional Discrete Haar Wavelet Transform on the CUDA Platform)

Aslan S., Badem H., Özcan T., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU 2014), İzmir, Türkiye, 9–10 October 2014, pp. 219–222, (Full paper)

30.

2014

2. Tip Bulanık Kenar Sezici Tabanlı Benek Gürültüsü Giderici (A Type-2 Fuzzy Edge Detector-Based Speckle Noise Remover)

Soytürk M. A., Baştürk A., Yüksel M. E.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Türkiye, 23–25 April 2014, (Full paper)

29.

2014

2 Tip Bulanık Kenar Sezici Tabanlı Benek Gürültüsü Giderici (A Type-2 Fuzzy Edge Detector-Based Speckle Noise Remover)

Soytürk M. A., Baştürk A., Yüksel M. E.

22nd IEEE Signal Processing and Communications Applications Conference (SIU) SIU 2014, Trabzon, Türkiye, 23–25 April 2014, (Full paper)

28.

2014

Gezgin Satıcı Problemi için Paralel Yapay Arı Koloni Algoritması (Parallel Artificial Bee Colony Algorithm for the Traveling Salesman Problem)

Akay R., Baştürk A.

22nd IEEE Signal Processing and Communications Applications Conference (SIU 2014), Trabzon, Türkiye, 23–25 April 2014, pp. 501–505, (Full paper)

27.

2012

Paralel Diferansiyel Gelişim Algoritmasında Farklı Göç Topolojilerinin Performansa Etkisi (The Effect of Different Migration Topologies on the Performance of the Parallel Differential Evolution Algorithm)

Akay R., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU 2012), Trabzon, Türkiye, 3–4 July 2012, pp. 1, (Full paper)

26.

2011

Bulanık Kenar Sezici Tabanlı Speckle Gürültü Giderici (A Fuzzy Edge Detector-Based Speckle Noise Remover)

Soytürk M. A., Baştürk A., Yüksel M. E.

Fırat University Electrical, Electronics and Computer Symposium (FEEB 2011), Elazığ, Türkiye, 5–7 October 2011, pp. 69–72, (Full paper)

25.

2010

Dürtü Gürültüsü Giderici Bulanık Çıkarım Sisteminin Kural Tabanlı Optimizasyonu (Rule-Based Optimization of an Impulse Noise-Removing Fuzzy Inference System)

Soytürk M. A., Baştürk A., Yüksel M. E.

Electrical, Electronics and Computer Engineering Symposium and Exhibition (ELECO 2010), Bursa, Türkiye, 2–5 December 2010, pp. 613–616, (Full paper)

24.

2008

HSA ile Sayısal Görüntülerde Kenar Çıkarımı için Parçacık Sürüsü Optimizasyon Algoritması Tabanlı Şablon Katsayısı Öğrenimi (Particle Swarm Optimization-Based Template Coefficient Learning for Edge Detection in Digital Images with Cellular Neural Networks)

Günay E., Baştürk A., Benli H.

Electrical, Electronics and Computer Engineering Symposium and Exhibition (ELECO 2008), Bursa, Türkiye, 26–30 November 2008, pp. 69–73, (Full paper)

23.

2008

Dürtü Gürültüsü ile Bozulmuş Sayısal İmgelerde 2 Tip Bulanık Mantık Sistemlerine Dayalı Gürültü Giderme Uygulaması (Noise Removal in Impulse Noise-Corrupted Digital Images Based on Type-2 Fuzzy Logic Systems)

Yıldırım M. T., Baştürk A., Yüksel M. E.

Innovations in Intelligent Systems and Applications Symposium (ASYU-INISTA 2008), Isparta, Türkiye, 19–21 June 2008, (Full paper)

22.

2008

HSA ile Sayısal Görüntülerde Kenar Çıkarımı için Klonal Seçme Algoritması Tabanlı Şablon Katsayısı Öğrenimi (Clonal Selection Algorithm-Based Template Coefficient Learning for Edge Detection in Digital Images with Cellular Neural Networks)

Baştürk A., Günay E.

16th IEEE Signal Processing and Communications Applications Conference (SIU) SIU 2008, Aydin, Türkiye, 20–22 April 2008, pp. 1–4, (Full paper)

21.

2007

Sayısal İmgelerden Dürtü Gürültüsünü Gidermeye Yönelik 2 Tip Bulanık Mantık Operatörü (A Type-2 Fuzzy Logic Operator for Impulse Noise Removal from Digital Images)

Yıldırım M. T., Baştürk A., Yüksel M. E.

15th IEEE Signal Processing and Communications Applications Conference (SIU) SIU 2007, Isparta, Türkiye, 11–13 June 2007, pp. 1–4, (Full paper)

20.

2006

Sar İmgeleri için Speckle Gürültüsü Giderici Bulanık Sinir Ağı Yöntemi (A Neuro-Fuzzy Method for Speckle Noise Removal in SAR Images)

Baştürk A., Yüksel M. E.

Electrical, Electronics and Computer Engineering Symposium and Exhibition (ELECO 2006), Bursa, Türkiye, 6–10 December 2006, (Full paper)

19.

2006

Gabor Dalgacıkları ve Temel Bileşen Analizi Kullanarak Tekstil Kumaşlarında Hata Denetimi (Defect Inspection in Textile Fabrics Using Gabor Wavelets and Principal Component Analysis)

Baştürk A., Yugnak Z., Ketencioglu H., Yüksel M. E.

Electrical, Electronics and Computer Engineering Symposium and Exhibition (ELECO 2006), Bursa, Türkiye, 6–10 December 2006, pp. 222–226, (Full paper)

18.

2006

Çok Katmanlı Sinir Ağı Kullanarak Sayısal İmgelerden Gauss Gürültüsünün Giderimi (Gaussian Noise Removal from Digital Images Using a Multilayer Neural Network)

Baştürk A., Yüksel M. E.

Innovations in Intelligent Systems and Applications Symposium (ASYU-INISTA 2006), İstanbul, Türkiye, 31 May – 2 June 2006, pp. 85–89, (Full paper)

17.

2005

Sayısal İmgeler için Gauss Gürültüsü Giderici Bulanık Sinir Ağı Tabanlı Bir Süzgeç (A Neuro-Fuzzy Filter for Gaussian Noise Removal from Digital Images)

Baştürk A., Yüksel M. E.

11th National Congress and Exhibition of Electrical, Electronics and Computer Engineering (EEBM 2005), İstanbul, Türkiye, 22–25 September 2005, pp. 551–554, (Full paper)

16.

2005

Gabor Süzgeç Bankası Kullanarak Tekstil Kumaşlarında Yerel Hata Tespiti (Local Defect Detection in Textile Fabrics Using a Gabor Filter Bank)

Baştürk A., Ketencioglu H., Yugnak Z., Yıldız C., Yüksel M. E.

13th IEEE Signal Processing and Communications Applications Conference (SIU) SIU 2005, Kayseri, Türkiye, 16–18 May 2005, pp. 17–20, (Full paper)

15.

2005

Sayısal İmgelerden Dürtü Gürültüsü Gidermek için Bulanık Sinir Ağı Tabanlı Esnek Anahtarlamalı Karma Süzgeç (A Neuro-Fuzzy Flexible Switching Hybrid Filter for Impulse Noise Removal from Digital Images)

Baştürk A., Yüksel M. E.

13th IEEE Signal Processing and Communications Applications Conference (SIU) SIU 2005, Kayseri, Türkiye, 16–18 May 2005, pp. 13–16, (Full paper)

14.

2004

Çok Odaklı İmgelerin Birleştirilmesi için Konumsal Frekans Kestirimine Dayalı Yeni Basit Bir Metot (A New Simple Method for Multi-Focus Image Fusion Based on Spatial Frequency Estimation)

Yüksel M. E., Yüksel Y., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU-INISTA 2004), İstanbul, Türkiye, 23–25 June 2004, pp. 66–69, (Full paper)

13.

2004

Sayısal İmgelerden Dürtü Gürültüsü Süzmeye Yönelik Yeni Bir Anahtarlamalı Orta Değer Süzgeci (A New Switching Median Filter for Impulse Noise Removal from Digital Images)

Yüksel M. E., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU-INISTA 2004), İstanbul, Türkiye, 23–25 June 2004, pp. 194–197, (Full paper)

12.

2004

Çok odaklı imgelerin birleştirilmesi için konumsal frekans kestirimine dayalı yeni basit bit metot (A New Simple Method for Multi-Focus Image Fusion Based on Spatial Frequency Estimation)

Yüksel M. E., Yüksel Y., Baştürk A.

Innovations in Intelligent Systems and Applications Symposium (ASYU-INISTA 2004), İstanbul, Türkiye, 1–4 June 2004, pp. 66–69, (Full paper)

11.

2004

Bulanık sinir ağı kontrollü anahtarlamalı orta değer süzgeci yardımıyla dürtü gürültüsü ile bozulmuş imgelerin detay korumalı onarımı (Detail-Preserving Restoration of Impulse Noise-Corrupted Images by a Neuro-Fuzzy-Controlled Switching Median Filter)

Yüksel M. E., Baştürk A., Beşdok E., Yıldırım M. T.

12th IEEE Signal Processing and Communications Applications Conference (SIU 2004), Aydın, Türkiye, 1–4 April 2004, pp. 87–90, (Full paper)

10.

2003

Sayısal İmgelerden Dürtü Gürültüsünü Süzmeye Yönelik Yeni Bir Modüler Bulanık Sinir Ağı (A New Modular Neuro-Fuzzy Network for Impulse Noise Removal from Digital Images)

Baştürk A., Yüksel M. E., Yıldırım M. T.

11th Signal Processing and Applications Conference (SIU 2003), İstanbul, Türkiye, 18–20 June 2003, pp. 682–685, (Full paper)

2003

Dürtü gürültüsü ile bozulmuş sayısal imgelerde kenar çıkarımı için bulanık sinir ağı tabanlı yeni bir kenar sezici (A New Neuro-Fuzzy Edge Detector for Edge Detection in Impulse Noise-Corrupted Digital Images)

Yıldırım M. T., Yüksel M. E., Baştürk A.

11th Signal Processing and Applications Conference (SIU 2003), İstanbul, Türkiye, 1–4 June 2003, pp. 476–479, (Full paper)

2003

Dürtü Gürültüsü ile Bozulmuş Tıbbi İmgeler için Bulanık Sinir Ağı Tabanlı Yeni Bir Kenar Sezici (A New Neuro-Fuzzy Edge Detector for Impulse Noise-Corrupted Medical Images)

Yıldırım M. T., Yüksel M. E., Baştürk A.

National Biomedical Engineering Meeting (BIYOMUT 2003), İstanbul, Türkiye, 29–30 May 2003, pp. 250–253, (Full paper)

2002

Bulanık Sinir Ağları Yardımıyla Biyomedikal İmgelerin Gürültü Bileşenlerinden Arındırılması (Denoising of Biomedical Images with Neuro-Fuzzy Networks)

Yüksel M. E., Baştürk A., Yıldırım M. T.

Electrical, Electronics and Computer Engineering Symposium (ELECO 2002), Bursa, Türkiye, 18–22 December 2002, pp. 294–298, (Full paper)

2002

Sayısal İmgelerden Dürtü Gürültüsünün Etkin Bir Şekilde Giderilmesi için Yeni Bir Bulanık Operatör (A New Fuzzy Operator for Efficient Impulse Noise Removal from Digital Images)

Yüksel M. E., Yıldırım M. T., Baştürk A.

Electrical, Electronics and Computer Engineering Symposium (ELECO 2002), Bursa, Türkiye, 18–22 December 2002, pp. 26–29, (Full paper)

2002

Bulanık Sinir Ağları ile İmge Onarımında Veri Sınıflandırma Yoluyla Başarımın Artırılması (Improving Neuro-Fuzzy Image Restoration Performance by Data Classification)

Yüksel M. E., Baştürk A., Yıldırım M. T.

10th Signal Processing and Applications Conference (SIU 2002), Denizli, Türkiye, 12–14 June 2002, pp. 1226–1231, (Full paper)

2001

Sesötesi Zaman Domeni İlinti Metodunda Yapay Sinir Ağı Kullanılarak Ölçüm Açısının Bulunması (Finding the Measurement Angle in the Ultrasonic Time-Domain Correlation Method Using an Artificial Neural Network)

Yüksel M. E., Baştürk A.

9th Signal Processing and Applications Conference (SIU 2001), Famagusta, Northern Cyprus, 25–27 April 2001, pp. 593–598, (Full paper)

2001

Sesötesi zaman domeni ilinti metodu ve yapay sinir ağı kullanarak kan akış profiline ait ölçüm açısının bulunması (Finding the Measurement Angle of the Blood Flow Profile Using the Ultrasonic Time-Domain Correlation Method and an Artificial Neural Network)

Yüksel M. E., Baştürk A.

9th Signal Processing and Applications Conference (SIU 2001), Famagusta, Northern Cyprus, 1–4 April 2001, pp. 593–598, (Full paper)

2001

Sesötesi Doppler işaretlerinin benzetimi için yapay sinir ağlarına dayalı yeni bir yöntem (A New Method Based on Artificial Neural Networks for the Simulation of Ultrasonic Doppler Signals)

Yüksel M. E., Baştürk A.

9th Signal Processing and Applications Conference (SIU 2001), Famagusta, Northern Cyprus, 1–4 April 2001, pp. 472–476, (Full paper)

2000

Sesötesi Doppler İşaretlerinin Kaotik Analizi ve Çeker Boyutunun Kestirilmesi (Chaotic Analysis of Ultrasonic Doppler Signals and Estimation of the Attractor Dimension)

Yüksel M. E., Baştürk A.

National Biomedical Engineering Meeting (BIYOMUT 2000), İstanbul, Türkiye, 27–28 November 2000, pp. 14–16, (Full paper)

Other Publications

2016

Derin Öğrenme ile Sınıflandırma Üzerine Karşılaştırmalı Bir Çalışma (A Comparative Study on Classification by Deep Learning)

Çalışkan A., Badem H., Baştürk A., Yüksel M. E.

Electrical, Electronics and Biomedical Engineering Conference (ELECO 2016), Bursa, Türkiye, 1–3 December 2016, (Full paper)

2016

Yığınlanmış Özdevinimli Kodlayıcı ile Parkinson Hastalığının Sınıflandırılması ve Teşhis Edilmesi (Classification and Diagnosis of Parkinson's Disease by Stacked Autoencoder)

Badem H., Çalışkan A., Baştürk A., Yüksel M. E.

Electrical, Electronics and Biomedical Engineering Conference (ELECO 2016), Bursa, Türkiye, 1–3 December 2016, (Full paper)

2015

Çoklu Ekran Kartı ile Hızlandırılmış Ayrık Haar Dalgacık Dönüşümü Temelli Görüntü Şıkıştırma (Multi-GPU-Accelerated Image Compression Based on the Discrete Haar Wavelet Transform)

Aslan S., Badem H., Özcan T., Karaboğa D., Baştürk A.

Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, Vol. 18, pp. 12–16, 2015 (Peer-reviewed journal)

2015

Çoklu ekran kartı ile hızlandırılmış ayrık haar dalgacık dönüşümü temelli görüntü sıkıştırma (Multi-GPU-Accelerated Image Compression Based on the Discrete Haar Wavelet Transform)

Aslan S., Badem H., Özcan T., Karaboğa D., Baştürk A.

Kahramanmaraş Sütçü İmam University Journal of Engineering Sciences, Vol. 18, No. 2, pp. 12–16, 2015 (Peer-reviewed journal)

2013

Computational Intelligence in Image Processing

Yüksel M. E., Baştürk A.

Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques, Amitava Chatterjee, Patrick Siarry (Eds.), Springer-Verlag, Heidelberg, pp. 3–20, 2013

Research

Projects

Funded research projects, 2006 to present. Titles are given as registered with the funding bodies, with English translations.

2010–present
Bulanık Sinir Ağlarının Eğitiminde Evrimsel Optimizasyon Algoritmalarının Uygulanması (Application of Evolutionary Optimization Algorithms to the Training of Neuro-Fuzzy Networks) TÜBİTAK
Active
2023–2025
Puf Sistemleri Için Floresan Sönümlenme Esaslı Kodlama (Fluorescence Quenching-Based Encoding for PUF Systems) TÜBİTAK · International bilateral cooperation
Completed
2022–2025
Organik Pi-Konjüge Moleküler Mikrokristal Temelli Klonlanamayan Yüzeyler (Unclonable Surfaces Based on Organic π-Conjugated Molecular Microcrystals) TÜBİTAK
Completed
2021–2023
Dental İmplant Sistemlerinin Tanınması İçin Derin Öğrenme Ağı Geliştirilmesi (Development of a Deep Learning Network for the Recognition of Dental Implant Systems) TÜBİTAK
Completed
2021–2023
Tokat Bölgesi Buğday Üretiminde Sık Rastlanan Yabancı Otların Derin Öğrenme Yöntemi İle Tespit Edilmesi (Deep Learning-Based Detection of Common Weeds in Wheat Production in the Tokat Region) TÜBİTAK
Completed
2020–2023
Fiziksel olarak klonlanamayan fonksiyon tabanlı stokastik-deterministik hibrit güvenlik etiketlerinin elektrospreyleme ile üretilmesi ve görüntü doğrulama sistemlerinin geliştirilmesi (Electrospray Fabrication of Physically Unclonable Function-Based Stochastic–Deterministic Hybrid Security Labels and Development of Image Verification Systems) TÜBİTAK
Completed
2017–2018
Derin Sinir Ağları Kullanarak Parmak İzi Tanımada Yeni Yaklaşımlar (New Approaches to Fingerprint Recognition Using Deep Neural Networks) Erciyes University Research Fund (BAP)
Completed
2016–2016
Kalman Süzgeci Parametrelerinin Eniyilenmesinde Zeki Optimizasyon Tekniklerinin Başarımlarının İncelenmesi (Investigation of the Performance of Intelligent Optimization Techniques in Kalman Filter Parameter Optimization) Erciyes University Research Fund (BAP)
Completed
2015–2016
Tit Analizör Cihazı Tasarımı ve Gerçekleştirilmesi (Design and Implementation of a Complete Urinalysis (TİT) Analyzer Device) Other public institution funding
Completed
2015–2016
Görüntü İşleme Tabanlı Tam Otomatize Süt Kalitesi Analizörü (Image Processing-Based Fully Automated Milk Quality Analyzer) Other public institution funding
Completed
2014–2015
Görüntü İşleme Tabanlı İdrar Analizör Sistemi (Image Processing-Based Urine Analyzer System) TÜBİTAK
Completed
2010–2015
Paralel Programlama Tekniklerinin Gelişime Dayalı Algoritmalar Üzerindeki Etkinlik Analizi (Efficiency Analysis of Parallel Programming Techniques on Evolutionary Algorithms) Erciyes University Research Fund (BAP)
Completed
2008–2015
Tekstil Kumaşlarında Kusur Denetimi ve Sınıflandırılmasına Yönelik Hücresel Sinir Ağı Tabanlı Bir İşaret İşleme Sisteminin Tasarımı (Design of a Cellular Neural Network-Based Signal Processing System for Defect Inspection and Classification in Textile Fabrics) Erciyes University Research Fund (BAP)
Completed
2008–2015
Pap Smear İmgelerinden Kanser Hastalığının Otomatik Teşhisine Yönelik Bir İşaret İşleme Sisteminin Tasarımı (Design of a Signal Processing System for Automatic Cancer Diagnosis from Pap Smear Images) Erciyes University Research Fund (BAP)
Completed
2011–2014
Paralel Zeki Optimizasyon Algoritmalarının GPU Üzerinde Gerçekleştirilmesi (GPU Implementation of Parallel Intelligent Optimization Algorithms) Erciyes University Research Fund (BAP)
Completed
2006–2008
Bilgisayarlı Görme Teknikleri ve İmge İşleyicisi Kullanarak Tekstil Kumaşlarında Kusur Denetimi ve Sınıflandırılması (Defect Inspection and Classification in Textile Fabrics Using Computer Vision Techniques and an Image Processor) Erciyes University Research Fund (BAP)
Completed

Teaching

Courses & Lecture Notes

Course materials and lecture notes for current and recent courses.

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Graduate Students Course Assignment List

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BZ111

Computer Programming - I

Introductory programming concepts, algorithm design, and core software logic for first-year students.

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BZ202

Electronic Circuits

Semiconductor devices, diode applications, rectifier circuits, and transistor fundamentals. Based on Floyd's Electronic Devices.

Acknowledgment: During the preparation of the lecture notes for this course, one of my dedicated students, Yusuf Avcu, provided invaluable help in acquiring images and illustrations from the original source and preparing them for integration into the Turkish version. I would like to express my gratitude for his support.

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Lecture Notes

Chapter 01 — Lecture Notes Chapter 02 — Lecture Notes Chapter 03 — Lecture Notes Chapter 04 — Lecture Notes Chapter 05 — Lecture Notes Final Exam Preparation — Lecture Notes

Presentation

Chapter 01 — Presentation Chapter 02A — Presentation Chapter 02B — Presentation Chapter 02C — Presentation Chapter 02D — Presentation Why We Use RMS (Supplementary) Chapter 03A — Presentation Chapter 03B — Presentation Chapter 03C — Presentation Chapter 04A — Presentation Chapter 04B — Presentation Chapter 04C — Presentation Chapter 05A — Presentation Chapter 05B — Presentation Chapter 05C — Presentation Final Exam Preparation — Presentation

Videos

BZ202 - Chapter 01 - Video A BZ202 - Chapter 01 - Video B BZ202 - Chapter 02 - Video A BZ202 - Chapter 02 - Video B BZ202 - Chapter 02 - Video C BZ202 - Chapter 02 - Video D BZ202 - Chapter 02 - Video E BZ202 - Chapter 02 - Video F BZ202 - Chapter 02 - Video G BZ202 - Chapter 02 - Video H

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Question Bank and Answers Final Exam Preparation — Lecture Notes Final Exam Preparation — Presentation

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BZ210

Logic Circuits and Design

Digital logic fundamentals, Boolean algebra, combinational and sequential circuit design.

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Presentation

Chapter 01 — Presentation Chapter 02 — Presentation Chapter 03 — Presentation Chapter 04 — Presentation Chapter 05 — Presentation Chapter 06 — Presentation Chapter 07 — Presentation Chapter 08 — Presentation Chapter 09 — Presentation Chapter 11 — Presentation Chapter 12 — Presentation Chapter 13 — Presentation Chapter 15 — Presentation

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BS454

Introduction to Deep Learning

Foundational deep learning concepts, neural network architectures, and modern learning approaches for artificial intelligence applications.

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2025-2026 Homework Presentation Schedule

News

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June 3, 2026

BZ202 Chapters 04 & 05 Materials and Final Prep are Published Teaching

The Electronic Circuits (BZ202) Chapter 04 and Chapter 05 lecture notes and presentations, along with the Final Exam Preparation materials, have been published and are now available in the Teaching Section.
April 12, 2026

Graduate Students Course Assignment List is Published Teaching

The Graduate Students Course Assignment List for Spring 2026 has been published and is now available in the Teaching Section.
April 12, 2026

Assignments, Reports & Presentations Templates are Published Teaching

Official templates for course assignments, reports, and presentations are now available in the Teaching Section.
April 7, 2026

Deep Learning (BS454) Homework Schedule is Published Teaching

The 2025-2026 Research Homework and Presentation Schedule for Introduction to Deep Learning (BS454) has been published and is now available in the Teaching Section.
April 7, 2026

BZ210 Presentation Series is Published Teaching

A comprehensive set of 13 presentation chapters for Logic Circuits and Design (BZ210) has been published and is now available in the Teaching Section.
April 7, 2026

BZ202 Chapter 03 Materials are Published Teaching

The Electronic Circuits (BZ202) Chapter 03 Special-Purpose Diodes lecture notes and presentations have been published and are now available in the Teaching Section.
April 5, 2026

BZ202 Question Bank and Answers are Published Teaching

The Electronic Circuits (BZ202) question bank and answers have been published and are now available in the Teaching Section under the course materials.
March 10, 2026

BZ202 Chapter 02 Materials are Updated Teaching

All presentation slides and supplementary materials for Chapter 02 (Diodes and Applications) have been updated and are now available in the Teaching Section.
February 15, 2026

Spring 2026 Semester Office Hours are Announced General

Office hours for the Spring 2026 semester are Tuesdays and Thursdays, 14:00 – 16:00. Please email in advance to schedule a meeting outside these hours.
December 1, 2025

Graduate Student Positions are Available Research

I am looking for motivated M.Sc. and Ph.D. students interested in swarm intelligence and optimization. Please see the contact section for application details.

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Email ab@erciyes.edu.tr
alperbasturk@gmail.com
Office Department of Computer Engineering
Faculty of Engineering
Erciyes University
38039 Kayseri, Türkiye
Web alperbasturk.com
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Announcements

BZ202 Chapters 04 & 05 Materials and Final Prep are Published Teaching

Graduate Students Course Assignment List is Published Teaching

Assignments, Reports & Presentations Templates are Published Teaching

Deep Learning (BS454) Homework Schedule is Published Teaching

BZ210 Presentation Series is Published Teaching

BZ202 Chapter 03 Materials are Published Teaching

BZ202 Question Bank and Answers are Published Teaching

BZ202 Chapter 02 Materials are Updated Teaching

Spring 2026 Semester Office Hours are Announced General

Graduate Student Positions are Available Research

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