Eskisehir Osmangazi University Center of Intelligent Systems Applications Research
Projects

2020 Articles - Conference Papers - Books

3/11/2026

2020 Articles - Conference Papers - Books 2020 Articles - Conference Papers - Books

Articles

  • Yılmaz, M., Yazıcı, A., & Çinar, E. (2020). Veri odaklı hata teşhis sistemi geliştirilmesi. Eskişehir Osmangazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 28, 289–298.
  • Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2020). İç lojistikte otonom robotlar için görev planlaması. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 28(2), 94–106.
  • Örnek, Ö., Gülbandılar, E., & Yazıcı, A. (2020). Akıllı fabrikalardaki otonom taşıyıcılar için bulanık mantık tabanlı anomali tespiti. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 28(1), 53–61. https://doi.org/10.31796/ogummf.619239
  • Karaduman, Y., Belen, S., Olgun, M., Ceyhan, M., Kartal, Y., & Özkan, K. (2020). Ülkesel ekmeklik buğday alım bareminde ekmeklik buğday çeşitlerinin ayrımı: Yapay zeka destekli örüntü tanıma uygulamalarının kullanılabilirliği. Biyoloji Bilimleri Araştırma Dergisi, 13(2), 45–59.
  • Işık, Ş., Kurt, Z., Anagün, Y., & Özkan, K. (2020). Spam e-mail classification recurrent neural networks for spam e-mail classification on an agglutinative language. International Journal of Intelligent Systems and Applications in Engineering, 8(4), 221–227. https://doi.org/10.18201/ijisae.2020466316
  • Karaduman, Y., Belen, S., Olgun, M., Ceyhan, M., Kartal, Y., & Özkan, K. (2020). Ülkesel ekmeklik buğday alım bareminde ekmeklik buğday çeşitlerinin ayrımı: Yapay zeka destekli örüntü tanıma uygulamalarının kullanılabilirliği. Research Journal of Biology Sciences, 13(2), 45–59.
  • Işık, Ş., Vatansever, G., Anagün, Y., Çelikhan, M., & Özkan, K. (2020). Real time pedestrian alert system for vehicles. Eskişehir Technical University Journal of Science and Technology A – Applied Sciences and Engineering, 21(3), 446–453. https://doi.org/10.18038/estubtda.629701
  • Işık, Ş., & Özkan, K. (2020). Common vector approach based image gradients computation for edge detection. In Lecture Notes in Computer Science (Vol. 11989, p. 408). Springer. https://doi.org/10.1007/978-3-030-43120-4_32
  • Özkan, B., Sarıçiçek, İ., & Özceylan, E. (2020). Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets. Environmental Science and Pollution Research, 27(34), 42908–42932. https://doi.org/10.1007/s11356-020-10128-0
  • Özden, G., & Sarıçiçek, İ. (2020). A decision support system for cross-docking centers with different objectives. SIGMA Journal of Engineering and Natural Sciences-SIGMA Mühendislik ve Fen Bilimleri Dergisi, 38(1), 421–440.
  • Sarıçiçek, İ. (2020). Multi-objective scheduling by maximizing machine preferences for unrelated parallel machines. SIGMA Journal of Engineering and Natural Sciences-SIGMA Mühendislik ve Fen Bilimleri Dergisi, 38(1), 405–420.
  • Yücel, H., Elibol Seçil, G., & Yayan, U. (2020). Wi-Fi based indoor positioning system for mobile robots by using particle filter. arXiv. https://doi.org/10.48550/arxiv.2012.05286
  • Karaca, M., & Yayan, U. (2020). ROS based visual programming tool for mobile robot education and applications. arXiv. https://doi.org/10.48550/arxiv.2011.13706
  • Gençtürk, H., Erdoğan, E., Karaca, M., & Yayan, U. (2020). Prognostic and health management (PHM) tool for Robot Operating System (ROS). arXiv. https://doi.org/10.48550/arxiv.2011.09222

 

 

Papers Presented at Peer-Reviewed Scientific Conferences

 

  • Barbosa, R., Basagiannis, S., Becker, H., Jahic, J., Kanak, A., Esnaola, M. L., … et al. (2020). The VALU3S ECSEL project: Verification and validation of automated systems safety and security. In 23rd Euromicro Conference on Digital System Design (DSD) (pp. 352–359). IEEE. https://doi.org/10.1109/DSD51259.2020.00064
  • Aksoy, E., & Yazıcı, A. (2020). Sürüş görüntüsünden belirginlik haritasını çıkarmak için dikkat modeli. In The 28th IEEE Conference on Signal Processing and Communications Applications (SIU 2020). IEEE. https://doi.org/10.1109/SIU49456.2020.9302267
  • Değirmenci, E., Örnek, Ö., & Yazıcı, A. (2020). İçeriksel çok kollu slot makinesi ile akıllı fabrikalarda trafik karakteristiklerinin öğrenilmesi ve anomali tespiti. In 28. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SIU 2020). IEEE.
  • Aslan, Ö., & Yazıcı, A. (2020). Otonom taşıyıcı araçlar için çakışmasız rota planlama. In The 28th IEEE Conference on Signal Processing and Communications Applications (SIU 2020). IEEE. https://doi.org/10.1109/SIU49456.2020.9302504
  • Aksoy, E., & Yazıcı, A. (2020). Attention model for extracting saliency map in driving videos. In 28th Signal Processing and Communications Applications Conference (SIU 2020). IEEE. https://doi.org/10.1109/SIU49456.2020.9302267
  • Aslan, O., & Yazıcı, A. (2020). Conflict-free route planning for autonomous transport vehicle. In 28th Signal Processing and Communications Applications Conference (SIU 2020). IEEE. https://doi.org/10.1109/SIU49456.2020.9302504
  • Değirmenci, E., Örnek, Ö., & Yazıcı, A. (2020). Learning intelligent factory traffic characteristics and anomaly detection with contextual multi-arm slot machine. In 28th Signal Processing and Communications Applications Conference (SIU 2020). IEEE. https://doi.org/10.1109/SIU49456.2020.9302356

 

Funded Projects

  • Yazıcı, A. (Yürütücü), Özkan, M., Sipahioğlu, A., & Yayan, U. (2020–2023). Verification and validation of automated systems’ safety and security (UFUK 2020 Projesi, RIA – Araştırma ve Yenilikçilik Eylemleri).
  • Yazıcı, A., Sarıçiçek, İ., Özkan, K., Ünsal, A., & Çınar, E. (Yürütücü). (2020–2023). Development of intelligent fault detection and predictive maintenance systems (TÜBİTAK 2232 – Yurda Dönüş Araştırma Burs Programı).
  • Edizkan, R. (Yürütücü), Bilgin, M., & Özkan, K. (2020–2024). Eskişehir Osmangazi Üniversitesi Ar-Ge potansiyelinin artırılmasına yönelik strateji ve uygulamaların geliştirilmesi (Yükseköğretim Kurumları Destekli Proje, BAP Alt Yapı).
  • Özkan, K. (Yürütücü), Seke, E., Olgun, M., Belen, S., Karaduman, Y., Uzun, İ., et al. (2020–2022). Ülkesel ekmeklik buğday alım baremi için taşınabilir V-NIR cihazı geliştirilmesi (TÜBİTAK Projesi, 1005 – Ulusal Yeni Fikirler ve Ürünler Araştırma Destek Programı).
  • Özkan, K. (Yürütücü), Kartal, Y., Seke, E., Ceylan, M. N., Adar, N., & Gürel, U. (2020–2021). EsOguChain: Blok zinciri tabanlı dijital öğrenci sertifika uygulaması (Yükseköğretim Kurumları Destekli Proje, BAP Araştırma Projesi).
  • Yayan, U. (Yürütücü). (2020–2023). Verification and validation of automated systems’ safety and security (Valu3s) (UFUK 2020 Projesi, H2020 Araştırma Altyapı Projeleri).

 

Books

  • Sarıçiçek, İ., Sipahioğlu, A., Mutlu, M. E., Kayabaş, İ., Kip Kayabaş, B., & Gürel, U. (2020). İşletme Bilgi Sistemleri. Anadolu Üniversitesi.
  • Gençtürk, H., Erdoğan, E., Karaca, M., & Yayan, U. (2020). Prognostic and health management (PHM) tool for Robot Operating System (ROS). arXiv. https://doi.org/10.48550/arxiv.2011.09222
  • Yayan, U. (2020). ROS, ROS dağıtımları ve ROS Kinetic Kame kurulumu. In U. Yayan (Ed.), ROS ile robot programlama (ss. 83–97). Seçkin Yayıncılık.
  • Yayan, U. (2020). Giriş: Robotik ve ROS. In U. Yayan (Ed.), ROS ile robot programlama (ss. 17–24). Seçkin Yayıncılık.

Last Updated At: 3/11/2026

2021 Articles - Conference Papers - Books

3/11/2026

Articles

  • Yücel, H., Edizkan, R., & Yazıcı, A. (2021). Gezgin robotların iç ortamda seyrüseferi için sıkı bağlı bir baş açısı ve konumlandırma sistemi. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi (Online), 29(3), 346–355. https://doi.org/10.31796/ogummf.900354
  • Agirre, J., Etxeberria, L., Barbosa, R., Basagiannis, S., Giantamidis, G., Bauer, T., … [diğer yazarlar]. (2021). The VALU3S ECSEL project: Verification and validation of automated systems safety and security. Microprocessors and Microsystems, 87, 104349. https://doi.org/10.1016/j.micpro.2021.104349
  • Tas, M. O., Yavuz, H. S., & Yazıcı, A. (2021). High-definition map update framework for intelligent autonomous transfer vehicles. Journal of Experimental & Theoretical Artificial Intelligence, 33(5), 847–865. https://doi.org/10.1080/0952813x.2020.1789754
  • Kanak, A., Ergün, S., Yazıcı, A., Özkan, M., Çokünlü, G., & Yayan, U. (2021). Verification and validation of an automated robot inspection cell for automotive body-in-white: A use case for the VALU3S ECSEL project. Open Research Europe, 1(115), 1–20. https://doi.org/10.12688/openreseurope.13627.1
  • Dündar, D. R., Çınar, E., Sarıçiçek, İ., & Yazıcı, A. (2021). Kestirimci bakımda makine öğrenmesi: Literatür araştırması. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi (Online), 29(2), 256–276. https://doi.org/10.31796/ogummf.873963
  • Dündar, D. R., Sarıçiçek, İ., & Yazıcı, A. (2021). Bakım faaliyetlerini dikkate alan makine çizelgeleme: Literatür araştırması. Uludağ University Journal of The Faculty of Engineering, 26(2), 737–756. https://doi.org/10.17482/uumfd.856513
  • Kasap, M., Çınar, E., Yazıcı, A., & Özkan, K. (2021). An experimental evaluation of intelligent fault detection and classification for induction motors utilizing machine learning approaches. ESOGÜ Mühendislik ve Mimarlık Fakültesi Dergisi, 29(2), 126–136.
  • Gengeç, N., Eker, O., Çevikalp, H., Yazıcı, A., & Yavuz, H. S. (2021). Visual object detection for autonomous transport vehicles in smart factories. Turkish Journal of Electrical Engineering and Computer Sciences, 29(4), 2101–2115. https://doi.org/10.3906/elk-2008-62
  • Özkan, A., Işık, Ş., Günkaya, Z., Özkan, K., & Banar, M. (2021). Comparison of different modeling methods for prediction of palladium adsorption onto waste orange peel. Mühendislik Bilimleri ve Tasarım Dergisi, 9(3), 758–767. https://doi.org/10.21923/jesd.708225
  • Işık, Ş., & Özkan, K. (2021). Overview of handcrafted features and deep learning models for leaf recognition. Journal of Engineering Research, 9(1). https://doi.org/10.36909/jer.v9i1.7737
  • Özkan, K., Seke, E., & Işık, Ş. (2021). Wheat kernels classification using visible–near infrared camera based on deep learning. Pamukkale University Journal of Engineering Sciences, 27(5), 618–626. https://doi.org/10.5505/pajes.2020.80774
  • Özkan, A., Özkan, K., Işık, Ş., & Banar, M. (2021). Evaluation of different curve fitting models for prediction of municipal solid waste composition. Pamukkale University Journal of Engineering Sciences, 27, 385–393. https://doi.org/10.5505/pajes.2020.08377
  • Bozkurt Keser, S., Toprak, A., Ciğer, F. E., Demiröz, M., & Sarıçiçek, İ. (2021). Genetik algoritma ile eş zamanlı topla-dağıt araç rotalama: İstanbul Anadolu Yakası için bir uygulama. Journal of the Institute of Science and Technology, 11(3), 1686–1699. https://doi.org/10.21597/jist.816991
  • Yelaldı, M. B., Öztürk, V., Gün, A., Küçüksağır, B., Erdoğmuş, A. K., Yayan, U., & Edizkan, R. et al. (2021). Fuzzy-based health monitoring and voice assistance featured autonomous elderly care service robot. In 2021 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1–6). https://doi.org/10.1109/asyu52992.2021.9598966
  • Yayan, U., & Erdoğmuş, A. K. (2021). Virtual robotic laboratory compatible mobile robots for education and research. In International Conference on Innovations in Intelligent Systems and Applications (INISTA) (pp. 1–6).
  • de la Vara, J. L., Bauer, T., Fischer, B., Karaca, M., Madeira, H., Matschnig, M., et al. (2021). A proposal for the classification of methods for verification and validation of safety, cybersecurity, and privacy of automated systems. In International Conference on the Quality of Information and Communications Technology (QUATIC 2021). https://doi.org/10.1007/978-3-030-85347-1
  • Yayan, U., Erdoğmuş, A. K., Karaca, M., & Çokünlü, G. (2021). Araç şaselerinin kalite kontrolü için simülasyon tabanlı otonom endüstriyel robot test sistemi geliştirilmesi. In Otomatik Kontrol Ulusal Kongresi (TOK 2021) (pp. 1–6).
  • Okur, K., Yayan, U., Arslan, A. T., & Yücel, H. (2021). A novel method for segmentation of benthic foraminifera inner morphology on the thin section photos. In 7th International Conference on Engineering and Natural Sciences (p. 48).
  • Yayan, U. (2021). Cross-domain modelling of verification and validation workflows in the large scale European research project VALU3S. In International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI) (pp. 368–382). https://doi.org/10.1007/978-3-031-04580-6_25

 

Papers Presented at Peer-Reviewed Scientific Conferences

 

  • Yılmaz, M., Çınar, E., & Yazıcı, A. (2021). RDF-based semantic for condition monitoring of autonomous mobile robot. In 2021 2nd International Informatics and Software Engineering Conference (IISEC). https://doi.org/10.1109/iisec54230.2021.9672341
  • Kartal, Y., Ceyhan, M., & Özkan, K. (2021). Derin öğrenme ile yazılım hata tespiti. In Proceedings of the 4th International Conference on Data Science and Applications (Tam metin bildiri).
  • Özden, G., & Sarıçiçek, İ. (2021). Dağıtım operasyonlarında kamyon-dron ekip lojistiği çalışmaları. In Yönetim Araştırmaları / Mühendislik Uygulamaları Sempozyumu (Tam metin bildiri, İstanbul, Türkiye).
  • Yelaldı, M. B., Öztürk, V., Gün, A., Küçüksağır, B., Erdoğmuş, A. K., Yayan, U., et al. (2021). Fuzzy-based health monitoring and voice assistance featured autonomous elderly care service robot. In 2021 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1–6). https://doi.org/10.1109/asyu52992.2021.9598966
  • Yayan, U., & Erdoğmuş, A. K. (2021). Virtual robotic laboratory compatible mobile robots for education and research. In International Conference on Innovations in Intelligent Systems and Applications (INISTA) (pp. 1–6).
  • de la Vara, J. L., Bauer, T., Fischer, B., Karaca, M., Madeira, H., Matschnig, M., et al. (2021). A proposal for the classification of methods for verification and validation of safety, cybersecurity, and privacy of automated systems. In International Conference on the Quality of Information and Communications Technology (QUATIC 2021). https://doi.org/10.1007/978-3-030-85347-1
  • Yayan, U., Erdoğmuş, A. K., Karaca, M., & Çokünlü, G. (2021). Araç şaselerinin kalite kontrolü için simülasyon tabanlı otonom endüstriyel robot test sistemi geliştirilmesi. Otomatik Kontrol Ulusal Kongresi (TOK 2021), 1–6.
  • Okur, K., Yayan, U., Arslan, A. T., & Yücel, H. (2021). A novel method for segmentation of benthic foraminifera inner morphology on the thin section photos. 7th International Conference on Engineering and Natural Sciences, 48.
  • Yayan, U. (2021). Cross-domain modelling of verification and validation workflows in the large scale European research project VALU3S. In International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI) (pp. 368–382). Springer. https://doi.org/10.1007/978-3-031-04580-6_25

 

Funded Projects

—

 

Books

  • Özkan, M., & Yazıcı, A. (2021). Otonom robot uygulamaları. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (ss. 51-82). Nobel Yayınevi.
  • Yazıcı, A., Bozkurt Keser, S., & Yayan, U. (2021). İç ortam konumlandırma sistemleri ve konum tabanlı uygulamalar. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (ss. 183-214). Nobel Yayınevi.
  • Yazıcı, A. (2021). Endüstriyel uygulamalarda yapay zeka. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (ss. 1-18). Nobel Yayınevi.
  • Özkan, M., & Yazıcı, A. (2021). Otonom robot uygulamaları. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zekâ ve büyük veri: Endüstri 4.0 ve yapay zekâ (Yapay Zekâ ve Büyük Veri Kitap Serisi 2, ss. 51-79). Nobel Akademik Yayıncılık.
  • Değirmenci, E., Örnek, Ö., & Yazıcı, A. (2021). [Bölüm başlığı yoksa genel olarak “Yapay zeka uygulamaları” vb. kullanılabilir]. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (ss. 215–242). Nobel Yayınevi.
  • Yılmaz, M., Çınar, E., & Yazıcı, A. (2021, December 16). RDF-based semantic for condition monitoring of autonomous mobile robot. In Proceedings of the 2nd International Informatics and Software Engineering Conference (IISEC). https://doi.org/10.1109/iisec54230.2021.9672341
  • Sarıçiçek, İ., & Dündar, D. R. (2021). Üretim planlaması uygulamaları. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri kitap serisi 2: Endüstri 4.0 ve yapay zeka (pp. 83–116). Nobel Yayın Dağıtım.
  • Özden, G., & Sarıçiçek, İ. (2021). Dağıtım operasyonlarında kamyon-dron ekip lojistiği çalışmaları. In S. Birgün, K. G. Gülen, A. Kulaklı, & Y. Şahin (Eds.), Akıllı dönüşüme yolculuk (pp. 155–174). Artikel Akademi.
  • Çınar, E., & Sarıçiçek, İ. (2021). Hata tespiti ve kestirimci bakım uygulamalarında yapay zeka kullanımı. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri kitap serisi 2: Endüstri 4.0 ve yapay zeka (pp. 243–266). Nobel.
  • Yayan, U. (2021). Bölüm VI: Robotik yazılım testi. In A. Yazıcı (Ed.), ROS ile robotik uygulamalar (pp. 163–185). Nobel Yayınevi.
  • Yayan, U., & Çıracı, E. (2021). Bölüm 2: Nesnelerin interneti ve arakatman uygulamaları. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (pp. 19–51). Nobel Yayınevi.
  • Yayan, U. (2021). Bölüm VII: Sanal robotik laboratuvarı UPLAT. In A. Yazıcı (Ed.), ROS ile robotik uygulamalar (pp. 186–193). Nobel Yayınevi.
  • Yayan, U., & Çıracı, E. (2021). Nesnelerin interneti ve arakatman uygulamaları. In Ş. Sağıroğlu, M. U. Demirezen, & A. Yazıcı (Eds.), Yapay zeka ve büyük veri: Endüstri 4.0 ve yapay zeka (pp. 19–51). Nobel Yayınevi.
  • Yayan, U. (2021). Bölüm I: Gezgin robotlar uygulamaları. In A. Yazıcı (Ed.), ROS ile robotik uygulamalar (pp. 1–7). Nobel Yayınevi.

 

Last Updated At: 3/11/2026

2022 Articles - Conference Papers - Books

3/11/2026

Articles

  • Yayan, U., Yazıcı, A., & Sarıçiçek, İ. (2022). Prognostics-aware multi-robot route planning to extend the lifetime. Kuwait Journal of Science, 49(4), 1–20. https://doi.org/10.48129/kjs.13237
  • Gültekin, Ö., Çinar, E., Özkan, K., & Yazıcı, A. (2022). Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle. Expert Systems with Applications, 200, 117055. https://doi.org/10.1016/j.eswa.2022.117055
  • Gültekin, Ö., Çinar, E., Özkan, K., & Yazıcı, A. (2022). Real-time fault detection and condition monitoring for industrial autonomous transfer vehicles utilizing edge artificial intelligence. Sensors, 22(9), 3208. https://doi.org/10.3390/s22093208
  • Gültekin, Ö., Çinar, E., Özkan, K., & Yazıcı, A. (2022). A novel deep learning approach for intelligent fault diagnosis applications based on time-frequency images. Neural Computing & Applications, 34(6), 4803–4812. https://doi.org/10.1007/s00521-021-06668-2
  • Demirci, Z., Özkan, M., Şahin, M. T., Ergün, H. C., & Yazıcı, A. (2022). MARVer: Robotik sistemlerin emniyetini doğrulama aracı. 1(1), 300–305.
  • Sarıçiçek, İ., Keser, S., Cibi, A., Ozdemir, T., & Yazıcı, A. (2022). Energy efficient routing and task scheduling for autonomous transfer vehicles in intra logistics. Kuwait Journal of Science, 49(1). https://doi.org/10.48129/kjs.v49i1.10194
  • Işık, Ş., Özkan, K., Demirez, D. Z., & Seke, E. (2022). Consensus rule for wheat cultivar classification on VL, VNIR and SWIR imaging. IET Image Processing, 16(11), 2834–2844. https://doi.org/10.1049/ip
  • Kurt, Z., Gerek, Ö. N., Bilge, A., & Özkan, K. (2022). A graph-based recommendation algorithm on quaternion algebra. SN Computer Science, 3(4). https://doi.org/10.1007/s42979-022-01171-4
  • Özkan, M., Özkan, K., Bekgöz, B. O., Yorulmaz, Ö., Günkaya, Z., Özkan, A., … [diğer yazarlar]. (2022). Implementation of an early warning system with hyperspectral imaging combined with deep learning model for chlorine in refuse derived fuels. Waste Management, 142, 111–119. https://doi.org/10.1016/j.wasman.2022.02.010
  • Çinar, E., Kalay, S., & Sarıçiçek, İ. (2022). A predictive maintenance system design and implementation for intelligent manufacturing. Machines, 10(11), 1006. https://doi.org/10.3390/machines10111006
  • Yayan, U., & Erdoğmuş, A. K. (2022). Development of a fault injection tool & dataset for verification of camera based perception in robotic systems. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi (Online), 30(3), 328–339. https://doi.org/10.31796/ogummf.1054761
  • Erdoğmuş, A. K., & Yayan, U. (2022). Development of virtual robotic laboratory and materials for education and research. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, 9(1), 514–540. https://doi.org/10.35193/bseufbd.1089501
  • Erdoğmuş, A. K., Karaca, M., & Yayan, U. (2022). Manipulation of camera sensor data via fault injection for anomaly detection studies in verification and validation activities for AI. arXiv preprint, 1–7. https://doi.org/10.48550/arxiv.2108.13803

Papers Presented at Peer-Reviewed Scientific Conferences

 

  • Aslan, Ö., Yazıcı, A., & Sarıçiçek, İ. (2022). Elektrikli araçlar için rota planlama üzerine bir derleme. 2. International Black Sea Modern Scientific Research Congress, Rize, Türkiye, 21–22 Aralık 2022, 1–15.
  • Yılmaz, M., Çınar, E., & Yazıcı, A. (2022). Graph-based anomaly detection approach for an autonomous mobile robot. 10th International Conference on Advanced Technologies (ICAT'22), Türkiye, 25–27 Kasım 2022.
  • Kırca, Y. S., Değirmenci, E., Yazıcı, A., & Özkan, M. (2022). Robotik sistem güvenliğinin doğrulaması için ROS tabanlı saldırı aracı. TOK’2022 Otomatik Kontrol Ulusal Toplantısı, Elazığ, Türkiye, 15–18 Eylül 2022.
  • Demirci, Z., Özkan, M., Şahin, M. T., Ergün, H. C., & Yazıcı, A. (2022). MARVer: Robotik sistemlerin emniyetini doğrulama aracı. TOK’2022 Otomatik Kontrol Ulusal Toplantısı, Elazığ, Türkiye, 15–18 Eylül 2022.
  • Değirmenci, E., Özçelik, İ., & Yazıcı, A. (2022). Effects of untargeted adversarial attacks on deep learning methods. In 15th International Conference on Information Security and Cryptography (ISCTURKEY 2022) (pp. 8–12). Ankara, Türkiye. https://doi.org/10.1109/iscturkey56345.2022.9931786
  • Akkurt, T., & Sarıçiçek, İ. (2022, Ekim 20). Bakım planlaması için anahtar performans göstergelerine dayalı bir karar destek sistemi. X. Uluslararası Katılımlı Bakım Teknolojileri Kongresi ve Sergisi, Denizli, Türkiye, 37–46.
  • Kalay, S., Çınar, E., & Sarıçiçek, İ. (2022, May 17). A comparison of data imputation methods utilizing machine learning for a new IoT system platform. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), Türkiye. https://doi.org/10.1109/codit55151.2022.9804113
  • Bağlum, C., & Yayan, U. (2022). Tailored mutation-based software fault injection tool (IM-FIT) for industrial robotic systems. In Otomatik Kontrol Ulusal Kongresi 2022 (Vol. 1, pp. 477–482). Elazığ, Türkiye.
  • Agirre, J. A., Yazıcı, A., Di Blasio, K., Luis de la Vara, J., Sangchoolie, B., Yayan, U., … (2022). Multidimensional framework for characterizing verification and validation of automated systems. In 18th European Dependable Computing Conference (EDCC) (pp. 41–48). Zaragoza, İspanya. https://doi.org/10.1109/edcc57035.2022.00018

 

Funded Projects

 

  • Yazıcı, A. (Yürütücü), Özkan, K., Sarıçiçek, İ., Özkan, M., Çınar, E., Yayan, U., ve diğerleri. (2022–2026). Sürdürülebilir Kentler İçin İleri Teknolojiler Platformu (SÜİT) [TÜBİTAK Projesi, 1004 - Mükemmeliyet Merkezi Destek Programı FAZ I]. Türkiye Bilimsel ve Teknolojik Araştırma Kurumu.
  • Özden Gürcan, G. (Yürütücü), Akşit, B., Sarıçiçek, İ., & Öznalbant, Z. (2022–2024). Son kilometre lojistiğinde kamyon-dron görev planlaması için bir karar destek sistemi [BAP Araştırma Projesi]. Yükseköğretim Kurumları Destekli Proje.

Last Updated At: 3/11/2026

2023 Articles - Conference Papers - Books

3/11/2026

2022 Articles - Conference Papers - Books Articles

  • Kasap, M., Yılmaz, M., Çınar, E., & Yazıcı, A. (2023). Unsupervised dissimilarity-based fault detection method for autonomous mobile robots. Autonomous Robots, 47(8), 1503–1518. https://doi.org/10.1007/s10514-023-10144-2
  • Değirmenci, E., Özçelik, I., & Yazici, A. (2023). ROSIDS23: Network intrusion detection dataset for robot operating system. Data in Brief, 51, 109739. https://doi.org/10.1016/j.dib.2023.109739
  • Irgat, E., Çınar, E., Ünsal, A., & Yazıcı, A. (2023). An IoT-based monitoring system for induction motor faults utilizing deep learning models. Journal of Vibration Engineering and Technologies, 11(7), 3579–3589. https://doi.org/10.1007/s42417-022-00769-5
  • Değirmenci, E., Kırca, Y. S., Yolaçan, E. N., & Yazıcı, A. (2023). An analysis of DoS attack on robot operating system. Gazi University Journal of Science, 36(3), 1050–1069. https://doi.org/10.35378/gujs.976496
  • Öz, D., Edizkan, R., & Yazıcı, A. (2023). Seri üretim hatlarında güvenilirlik analizi ile durumsal farkındalığın artırılması. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 31(2), 630–643. https://doi.org/10.31796/ogummf.1192034
  • Örnek, Ö., Yazıcı, A., & Özkan, M. (2023). İnsan-robot etkileşimi çalışmalarına yönelik insanın OctoMap ile çoklu çözünürlüklü modellenmesi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 25(74), 303–316. https://doi.org/10.21205/deufmd.2023257404
  • Sarıçiçek, İ., Yazıcı, A., & Aslan, Ö. (2023). A novel conflict-free routing with multi pickup delivery tasks for autonomous vehicles. Robotic Intelligence and Automation, 43(2), 191–206. https://doi.org/10.1108/RIA-04-2022-0086
  • Guclu, E., Örnek, Ö., Özkan, M., Yazıcı, A., & Demirci, Z. (2023). An online distance tracker for verification of robotic systems’ safety. Sensors, 23(6), 2986. https://doi.org/10.3390/s23062986
  • Özkan, M., Demirci, Z., Aslan, Ö., & Yazıcı, A. (2023). Safety verification of multiple industrial robot manipulators with path conflicts using model checking. Machines, 11(2), 282. https://doi.org/10.3390/machines11020282
  • Kırca, Y. S., Değirmenci, E., Demirci, Z., Yazıcı, A., Özkan, M., Ergun, S., … (diğer yazarlar). (2023). Runtime verification for anomaly detection of robotic systems security. Machines, 11(2), 166. https://doi.org/10.3390/machines11020166
  • Balim, C., & Özkan, K. (2023). Diagnosing fashion outfit compatibility with deep learning techniques. Expert Systems with Applications, 215, 119305. https://doi.org/10.1016/j.eswa.2022.119305
  • Günkaya, Z., Özkan, M., Özkan, K., Bekgöz, B. O., Yorulmaz, Ö., Özkan, A., et al. (2023). Prediction of the proximate analysis parameters of refuse-derived fuel based on deep learning approach. Environmental Science and Pollution Research, 30(7), 17327–17341. https://doi.org/10.1007/s11356-022-23272-6
  • Yapıcı, E., Akgün, H., Özkan, K., Günkaya, Z., Özkan, A., & Banar, M. (2023). Prediction of gas product yield from packaging waste pyrolysis: Support vector and Gaussian process regression models. International Journal of Environmental Science and Technology, 20(1), 461–476. https://doi.org/10.1007/s13762-022-04013-1
  • Smrcka, A., Sangchoolie, B., Mingozzi, E., de la Vara, J. L., Farrell, M., Barbosa, R., et al. (2023). Towards an extensive set of criteria for safety and cyber-security evaluation of cyber-physical systems. Open Research Europe, 3, 219. https://doi.org/10.12688/openreseurope.16234.1
  • Yayan, U. (2023). ROSMutation: Mutation based automated testing for ROS compatible robotic software. Advances in Electrical and Computer Engineering, 23(3), 47–56. https://doi.org/10.4316/aece.2023.03006
  • Yayan, U., & Bağlum, C. (2023). Tailored mutation-based software fault injection tool (IM-FIT). SoftwareX, 23, 101463. https://doi.org/10.1016/j.softx.2023.101463
  • Okur, K., & Yayan, U. (2023). A new model on benthic foraminifer image classification and definitions based on conventional neural network (CNN). Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi (Online), 31(1), 481–490. https://doi.org/10.31796/ogummf.1096951
  • Aşik, S., & Yayan, U. (2023). Generating Python mutants from bug fixes using neural machine translation. IEEE Access, 11, 85678–85693. https://doi.org/10.1109/access.2023.3302695

 

Papers Presented at Peer-Reviewed Scientific Conferences

 

  • Kahraman, S., Bulut, M., Değirmenci, E., Kırca, Y. S., Özkan, M., & Yazıcı, A. (2023). Online motion analyzer (OMA): A software service for runtime verification of robotic systems’ safety. Proceedings of the 31st IEEE Conference on Signal Processing and Communications Applications (SIU 2023). https://doi.org/10.1109/SIU59756.2023.10223793
  • Değirmenci, E., Kırca, Y. S., Örnek, Ö., Bulut, M., Kahraman, S., Özkan, M., & Yazıcı, A. (2023). Developing an integrated runtime verification for safety and security of industrial robot inspection system. Proceedings of the 24th Annual Conference Towards Autonomous Robotic Systems (TAROS 2023), Lecture Notes in Artificial Intelligence, 14136, 126–137. https://doi.org/10.1007/978-3-031-43360-3_11
  • Bağlum, C., Erdoğmuş, A. K., & Yayan, U. (2023). Verification toolchain of industrial robot inspection cell for quality control of automotive body-in-white. In Proceedings of the Innovations in Intelligent Systems and Applications Conference (ASYU 2023), Sivas, Türkiye. https://doi.org/10.1109/asyu58738.2023.10296576
  • Çağlar, O., Taşkın, F., Bağlum, C., Aşık, S., & Yayan, U. (2023). Development of cloud and artificial intelligence based software testing platform (ChArIoT). In Proceedings of the Innovations in Intelligent Systems and Applications Conference (ASYU 2023), Sivas, Türkiye. https://doi.org/10.1109/asyu58738.2023.10296551
  • Ayubi, A. H., Taşkın, F., Çağlar, O., Aşık, S., Bağlum, C., & Yayan, U. (2023). Evaluation of deep neural network quality by CleanAI coverage metrics library. In Proceedings of the 17th International Conference on Innovations in Intelligent Systems and Applications (INISTA 2023), Hammanet, Tunus. https://doi.org/10.1109/inista59065.2023.10310324

 

Funded Projects

 

  • Yazıcı, A. (Yürütücü), Sarıçiçek, İ., Yayan, U., Karacasu, M., Akalın, K. B., & Bozkurt Keser, S. (2023–2025). OPEVA – Optimization of electric vehicle autonomy. Ufuk Avrupa Programı kapsamında desteklenen araştırma projesi.
  • Yayan, K., Yayan, U., Özkan, K., & Yazıcı, A. (Yürütücü). (2023). Fabric composition detector (FABCOD). AB destekli araştırma projesi.
  • Özkan, K. (Yürütücü), Çömlekçioğlu, N., Seke, E., Ünal, F., Bozbuğa, R., Önder, S., et al. (2023–2025). Yapay zeka ile sera koşullarındaki hıyar yetiştiriciliğinde bazı hastalık ve zararlıların erken dönemde tanısı ve izlenmesi (Proje No. 1001). Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK).

Last Updated At: 3/11/2026

2024 Articles - Conference Papers - Books

3/11/2026

Articles

  • Örnek, Ö., Sora Gunal, E., & Yazici, A. (2024). On anomaly detection for autonomous transfer vehicles in smart factories. Nicel Bilimler Dergisi (Online), 6(2), 208–227. https://dergipark.org.tr/en/pub/nicel/article/1450906
  • Yılmaz, M., Çınar, E., & Yazıcı, A. (2024). Elektrikli araçlarda otonom batarya yönetim sistemi: Literatür incelemesi. EMO Bilimsel Dergi, 14(2), 7–22.
  • Değirmenci, E., Özçelik, İ., & Yazıcı, A. (2024). Adversarial attack detection approach for intrusion detection systems. IEEE Access, 12, 195996–196009. https://doi.org/10.1109/ACCESS.2024.3520406
  • Cetiner, G., Yayan, U., & Yazıcı, A. (2024). Mutation based white box testing of deep neural networks. IEEE Access, 12, 160156–160174. https://doi.org/10.1109/ACCESS.2024.3482114
  • Bekgöz, B. O., Günkaya, Z., Özkan, K., Özkan, M., Özkan, A., & Banar, M. (2024). Regression based prediction of higher heating value for refuse-derived fuel using convolutional neural networks predicted elemental data and spectrographic measurements. Waste Disposal and Sustainable Energy, 6(3), 429–437. https://doi.org/10.1007/s42768-023-00187-7
  • Kartal, Y., Akdeniz, E. K., & Özkan, K. (2024). Automating modern code review processes with code similarity measurement. Information and Software Technology, 173, Article 107490. https://doi.org/10.1016/j.infsof.2024.107490
  • Balim, C., & Özkan, K. (2024). Creating an AI fashioner through deep learning and computer vision. Evolving Systems, 15(3), 717–729. https://doi.org/10.1007/s12530-023-09498-w
  • Ceyhan, M., Kartal, Y., Özkan, K., & Seke, E. (2024). Classification of wheat varieties with image-based deep learning. Multimedia Tools and Applications, 83(4), 9597–9619. https://doi.org/10.1007/s11042-023-16075-5
  • Akşit, B., Özden Gürcan, G., & Sarıçiçek, İ. (2024). Flying sidekick traveling salesman problem in truck–drone team logistics with energy issues. Transportation Research Record, 1–15. https://doi.org/10.1177/03611981241243076
  • Akkurt, T., & Sarıçiçek, İ. (2024). KPI based performance estimation in production systems using deep learning techniques. Journal of the Faculty of Engineering and Architecture of Gazi University, 39(3), 1499–1507. https://doi.org/10.17341/gazimmfd.1100614
  • Yayan, K., Bağlum, C., & Yayan, U. (2024). Multi-label benthic foraminifera identification with convolutional neural networks. IEEE Access, 12, 196769–196785. https://doi.org/10.1109/ACCESS.2024.3520633
  • Erdoğmuş, A. K., & Yayan, U. (2024). Kamera hata enjeksiyon aracı ile kamera tabanlı robotik denetleme sisteminin doğrulanması ve onaylanması. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 32(1), 1159–1168. https://doi.org/10.31796/ogummf.1348531
  • Yayan, K., Esen, Y. E., & Yayan, U. (2024). A new dimension of learning: Exploring the impact of XR4HRC on training efficacy. ERCIM News, 137, 32–34.

 

 

Papers Presented at Peer-Reviewed Scientific Conferences

 

  • Çetiner, G., Bağlum, C., Yayan, U., & Yazıcı, A. (2024). White box testing module for evaluation of transformers-based DNNs. In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU) (Vol. 1, pp. 1–6). IEEE. https://doi.org/10.1109/ASYU62119.2024.10757012
  • Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). Adaptive large neighborhood search approach for electric vehicle routing problem. 25. Otomatik Kontrol Ulusal Konferansı (TOK 2024) bildiriler kitabı içinde (ss. 63–68). Konya, Türkiye.
  • Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2024). Elektrikli araç rotalama perspektifinden enerji etkin yol analizi. 25. Otomatik Kontrol Ulusal Konferansı bildiriler kitabı içinde (ss. 88–93). Konya, Türkiye.
  • Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2024). Energy efficient path analysis from the perspective of electric vehicle routing. 25. Otomatik Kontrol Ulusal Konferansı (TOK 2024) bildiriler kitabı içinde (ss. 88–93). Konya, Türkiye.
  • Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). Elektrikli araç rotalama problemi için uyarlanabilir geniş komşuluk arama yaklaşımı. 25. Otomatik Kontrol Ulusal Konferansı bildiriler kitabı içinde (ss. 63–68). Konya, Türkiye.
  • Kara, M. E., Sipahioğlu, A., & Yazıcı, A. (2024). A mathematical model for routing of industrial inspection robots. 33rd European Conference on Operational Research (EURO 2024) konferans özetleri içinde (s. 377). Kopenhag, Danimarka.
  • Sevim, E., Dalgıç, U. E., Yılmaz, M., Çinar, E., & Yazıcı, A. (2024). Optimization of charging prediction in electric vehicle fleets: An integrated approach with EdgeAI and data flow pipelines. In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1–5). IEEE. https://doi.org/10.1109/SIU61531.2024.10600795
  • Kahraman, S., Güneş, İ., Kırca, Y. S., Özkan, M., & Yazıcı, A. (2024). Online route analyzer (ORA): Runtime verification service for routing optimization of electric vehicles. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10601154
  • Taş, M. B. H., Özkan, K., Sarıçiçek, İ., & Yazıcı, A. (2024). Traffic light control with policy gradient-based reinforcement learning. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10600899
  • Aslan Yildiz, Ö., Sarıçiçek, İ., Özkan, K., & Yazıcı, A. (2024). Routing with pickup and delivery via deep reinforcement learning. In 2024 32nd IEEE Conference on Signal Processing and Communications Applications (SIU). IEEE. https://doi.org/10.1109/SIU61531.2024.10600947
  • Konuk, M., Bağlum, C., & Yayan, U. (2024). Evaluation of large language models for unit test generation. In 2024 Innovations in Intelligent Systems and Applications Conference (ASYU) (Vol. 1, pp. 1–6). IEEE. https://doi.org/10.1109/ASYU62119.2024.10756954
  • Esen, Y. E., Yayan, U., Yayan, K., & Çetincan, B. K. (2024). XR4HRC project: Training and evaluation approaches for human–robot collaboration with extended reality. In International Conference on Educational Technology and Online Learning (Abstract).

 

Funded Projects

  • Yayan, U., Yazici, A., & Yayan, K. (2024). Multiplayer collaborative robotics maintenance training platform in extended reality (XR4MCR) [Project]. Horizon Europe Programme (2024–2025).
  • Yayan, K., Yazıcı, A., Özkan, M., & Yayan, U. (2024). Model-based engineering of digital twins for early verification and validation of industrial systems (MATISSE) [Project]. Horizon Europe Programme (2024–2027).
  • Yayan, U. (Yürütücü), Yazıcı, A., Özkan, M., Yayan, K., & Sarıçiçek, İ. (2024). Excellence in extended reality for human-robot collaboration (XR4HRC). Horizon Europe (UFUK AVRUPA) projesi.
  • Özkan, K. (2024–2026). Yaşlı bireylerde sanal gerçeklik deneyimleme tasarım modeli (SAGEMOD) [Araştırma projesi]. Türkiye Sağlık Enstitüleri Başkanlığı (TÜSEB).
  • Girmen, P., Metintaş, S., Dönmez, A., Turan Kızıldoğan, E., Sarıçiçek, İ., & Özkan, K. (2024–2026). Yaşlı bireylerde sanal gerçeklik deneyimleme tasarım modeli (SAGEMOD) [Araştırma projesi]. T.C. Sağlık Bakanlığı.

Last Updated At: 3/11/2026

2025 Articles - Conference Papers - Books

3/11/2026

Articles

  • Aslan Yıldız, Ö., Sarıçiçek, İ., & Yazıcı, A. (2025a). A Reinforcement Learning-Based Solution for the Capacitated Electric Vehicle Routing Problem from the Last-Mile Delivery Perspective. Applied Sciences, 15(3), 1068. https://doi.org/10.3390/app15031068
  • Aslan Yıldız, Ö., Sarıçiçek, İ., & Yazıcı, A. (2025b). A transformer-based deep reinforcement learning for the Dial-a-Ride problem. Knowledge and Information Systems, 67(10), 9085-9109. https://doi.org/10.1007/s10115-025-02493-4
  • Yılmaz, M., Çinar, E., & Yazıcı, A. (2025). Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum. IEEE Access, 13, 72128-72141. https://doi.org/10.1109/ACCESS.2025.3563188
  • Taş, M. B. H., Özkan, K., Sarıçiçek, İ., & Yazici, A. (2025). Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility. Applied Sciences, 15(2), 806. https://doi.org/10.3390/app15020806
  • Yılmaz, M., Çinar, E., & Yazıcı, A. (2025). A Transformer-Based Model for State of Charge Estimation of Electric Vehicle Batteries. IEEE Access, 13, 33035-33048. https://doi.org/10.1109/ACCESS.2025.3542961
  • Caferler, B., Ünal, A., Bozkurt Keser, S., & Yazıcı, A. (2025). A Review for Remaining Driving Range Prediction of Electric Vehicles Using Machine Learning Algorithms. Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS52025131
  • Douaidi, L., Senouci, S.-M., El Korbi, I., Harrou, F., & Yazıcı, A. (2025). Federated deep learning for enhanced prediction of electric vehicle charging station availability. Cluster Computing, 28(6), 364. https://doi.org/10.1007/s10586-025-05152-z
  • Keser, S. B., Sarıçiçek, İ., & Yazıcı, A. (2025). Electric Vehicle Routing With Recharging Stations: Trade‐Offs in Last‐Mile Delivery. IET Intelligent Transport Systems, 19(1), e70052. https://doi.org/10.1049/itr2.70052
  • Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., Erdoğmuş, A. K., Kafalı, A., & Yazıcı, A. (2025). A dataset for state of charge and range estimation of an L5 type electric vehicle that is used for Urban Logistic. Data in Brief, 62, 111933. https://doi.org/10.1016/j.dib.2025.111933
  • Polat, A. A., Bozkurt Keser, S., Sarıçiçek, İ., & Yazıcı, A. (2025). Analysis of Factors Affecting Electric Vehicle Range Estimation: A Case Study of the Eskisehir Osmangazi University Campus. Sustainability, 17(8), 3488. https://doi.org/10.3390/su17083488
  • Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2025). Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction. Applied Sciences, 15(9), 4703. https://doi.org/10.3390/app15094703
  • Caglar, O., Baglum, C., & Yayan, U. (2025). CleanAI: Deep neural network model quality evaluation tool. SoftwareX, 29, 102015. https://doi.org/10.1016/j.softx.2024.102015
  • Esen, Y. E., Çeti̇Ncan, B. K., Yayan, K., Burnak, Ö., & Yayan, U. (2025). XR4MCR: Multiplayer collaborative robotics maintenance training platform in extended reality. SoftwareX, 31, 102348. https://doi.org/10.1016/j.softx.2025.102348
  • Esen, Y. E., Kaan Çetincan, B., Yayan, K., Güray Gürlek, H., & Yayan, U. (2025). XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance. IEEE Access, 13, 61708-61727. https://doi.org/10.1109/ACCESS.2025.3556699
  • Örnek, Ö., Değirmenci, E., & Yazıcı, A. (2025). Online learning-based anomaly detection for positioning system. Expert Systems with Applications, 267, 126221. https://doi.org/10.1016/j.eswa.2024.126221
  • Tuğrul, K. M., Kaya, R., Özkan, K., Ceyhan, M., Gürel, U., & Fidantemiz, F. Y. (2025). Early detection of Cercospora beticola and powdery mildew diseases in sugar beet using uncrewed aerial vehicle-based remote sensing and machine learning. PeerJ, 13, e19530. https://doi.org/10.7717/peerj.19530
  • Yıldız, Ö. A., Yazıcı, A., & Sarıçiçek, İ. (2025). Conflict-Free Path Planning for Autonomous Transport Vehicles. 국제산업공학저널, 32(2). https://doi.org/10.23055/IJIETAP.2025.32.2.10445

 

Papers Presented at Peer-Reviewed Scientific Conferences

  • Bağlum, C., & Yayan, U. (2025). STS: AI-Driven Smart Test Scenario Generation Tool. 2025 33rd Signal Processing and Communications Applications Conference (SIU), 1-4. https://doi.org/10.1109/SIU66497.2025.11112297
  • Yılmaz, M., Kanber, B., Kırca, Y. S., Kahraman, S., Özkan, K., Yayan, U., Sarıçiçek, İ., Çinar, E., Özkan, M., & Yazıcı, A. (2025). Implementation of IoT-Based Communication System for Electric Vehicle Fleets. 2025 33rd Signal Processing and Communications Applications Conference (SIU), 1-4. https://doi.org/10.1109/SIU66497.2025.11111926
  • Kanak, A., Ergün, S., Arif, İ., Atalay, A. S., İnanç, S. E., Herkiloğlu, O., Yazıcı, A., Kirca, Y. S., Ozberk, M., Erdogmus, A. K., Kafalı, A., Bayar, D., Taş, M. O., Davoli, L., Belli, L., Ferrari, G., Muneer, B., Palazzi, V., Roselli, L., & Gelati, F. (2025). Multi-Partner Project: Electric Vehicle Data Acquisition and Valorisation: A Perspective from the OPEVA Project. 2025 Design, Automation & Test in Europe Conference (DATE), 1-7. https://doi.org/10.23919/DATE64628.2025.10992740
  • Kahraman, S., & Yayan, U. (2025). Development and Simulation of a Robot Arm Functional Mockup Unit (FMU) for Digital Twins. 2025 33rd Signal Processing and Communications Applications Conference (SIU), 1-4. https://doi.org/10.1109/SIU66497.2025.11112169
  •  Sevim, E., Yılmaz, M., Çinar, E., & Yazıcı, A. (2025). Federated Learning Based State of Health Estimation for Lithium-Ion Batteries. 2025 20th Annual System of Systems Engineering Conference (SoSE), 1-6. https://doi.org/10.1109/SoSE66311.2025.11083856

Funded Projects

  • Yayan, U., & Yayan, K. (2025). Manufacturing intelligent digital interactive assistant (MINDIA) [Project]. Horizon Europe Programme (2025–2026).

 

Books

  • Yazıcı, A., Özkan, M., & Yayan, U. (2025). Tekstil ve hazır giyim endüstrisinde otomasyon (otonom robotlar). In İ. İlhan & A. Özbek (Eds.), Nesnelerin İnterneti çağında tekstil endüstrisi (pp. 81–118). İstanbul Ticaret Odası.

 

 

Last Updated At: 3/11/2026

test

7/4/2020

Last Updated At: 7/4/2020

Tüm Kategoriler

Projects All