BAHÇEŞEHİR ÜNİVERSİTESİ ADRESLİ DOKTORA MEZUNU (2023-2024-2025) ÖĞRENCİLERİMİZİN YAYINLARI.
ALİ ALGÜR (Reklamcılık ve Halkla İlişkiler).
Bir, A. A., Suher, K., Şener, G., & Algür, A. (2011). Turkish university students’ media usage and their attitudes toward advertising-in-general. Journal of Yasar University, 24(6), 4098–4111.
Karahoca, A., Karahoca, D., Şimşek, S., Yengin, İ., Yüce, B., Berkman, İ., Dağyar, C., & Yalçın, Ş. (2006). Usability evaluation of cell phone user interfaces. WSEAS Transactions on Information Science & Applications, 8(3), 1582–1588.
Karahoca, A., Karahoca, D., Şimşek, S., Yengin, İ., Yüce, B., Berkman, İ., Dağyar, C., & Yalçın, Ş. (2006). Individual differences in usability of cell phone SMS menus. In Proceedings of the 5th WSEAS International Conference on Telecommunications and Informatics (pp. 485–490).
DUYGU ÇAKIR (Software Engineering).
Çakır, D., & Arıca, N. (2016). Facial landmark patch based action unit detection using sparse learning. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 9(2), 21–26.
Çakır, D., & Arıca, N. (2017). Seyrek öğrenme ile yüz işaret yaması bazlı eylem birimi saptama. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi, 9(2), 21–26.
Çakır, D., Yılmaz, G., & Arıca, N. (2024). Sparse landmarks for facial action unit detection using vision transformer and perceiver. International Journal of Computer Science Engineering, 27(5), 607–620.
Çakır, D. (2015). Teaching an introductory programming course through computer graphics: An experimental approach. Global Journal on Technology, 8, 234–239.
Çakır, D., & Karahoca, A. (2014). A review on eyebrow recognition systems in Turkish Sign Language (TSL). Global Journal of Computer Sciences, 4(2), 59–64.
Çakır, D., & Karahoca, A. (2014). The protection of cultural heritage through digitization using virtual museums: A proposed virtual museum model. Global Journal of Information Technology, 4(2), 101–106.
Çakır, D., Yılmaz, G., & Arıca, N. (2025). Enhanced facial action unit detection with adaptable patch sizes on representative landmarks. Neural Computing and Applications, 37, 3777–3791. https://doi.org/10.1007/s00521-024-10836-5
Çakır, D., Akay, S., & Arıca, N. (2021). Deep learning approaches in face analysis. In Learning Control (pp. 103–145). Elsevier.
Cakir, D., & Arica, N. (2023). Cascading CNNs for facial action unit detection. Engineering Science and Technology, an International Journal 47. . (Q1).
Çakır, D., & Arıca, N. (2023, October). Context-aware facial expression recognition in group photos. In 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA) (pp. 1–6). IEEE.
Çakır, D., & Arıca, N. (2016). Facial landmark patch based action unit detection using sparse learning. In International Conference on Computer Science and Engineering (BMBB 2016) (pp. 195–198). Tekirdağ, Turkey.
Çakır, D., & Arıca, N. (2016, October). Size variant landmark patches for facial action unit detection. In 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 1–4). IEEE.
Çakır, D., & Arıca, N. (2015). Random attributes for facial expression recognition. In International Conference on Advanced Technology & Sciences (ICAT’15) (pp. 518–522). Antalya, Turkey.
Çakır, D., & Arıca, N. (2023). Style transfer to enhance data augmentation for facial action unit detection. In International Conference on Robotics and Networks (pp. 101–111). Cham: Springer Nature Switzerland.
Çakır, D., Aritürk, M., & Yücel, Ö. (2021). An overview of fake face detection approaches. In Progress in Intelligent Decision Science: Proceedings of IDS 2020 (pp. 197–211).
Çakır, D., Illik, V., Koç, K. Y., & Deniz, E. (2024). Data-secure natural language interfaces to databases via large language models. In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1–6). IEEE.
Çakmak, R. G., Karaman, B., & Çakır, D. (2024). Harnessing CNNs and decision trees for autonomous scoliosis diagnosis on spinal radiographs. In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1–7). IEEE.
Çakır, D., & Karahoca, A. (2014). The protection of cultural heritage through digitization using virtual museums: A proposed virtual museum model. In Proceedings of INSODE 2014.
Çakır, D., & Karahoca, A. (2014). A review on eyebrow recognition systems in Turkish Sign Language (TSL). In Proceedings of INSODE 2014.
Çakır, D., Karahoca, D., Karahoca, A., & Güngör, A. (2011). Adapting the Suzuki Method to an OOP course by using an inductive approach. In E-Learning’11 (pp. 119–124). Bucharest, Romania. Best Paper Award.
Çakır, D., & Kasap, Ö. Y. (2021). Audio to video: Generating a talking fake agent. In Progress in Intelligent Decision Science: Proceedings of IDS 2020 (pp. 212–227). Springer International Publishing.
Çakır, D., Kaptan, S. N., & Karahoca, A. (2010). An OOP w/Java course using an inductive approach. In Proceedings of the World Congress on Engineering (Vol. 1).
Çakır, D., Yılmaz, G., & Arıca, N. (2024). Boosting facial action unit detection with CGAN-based data augmentation. In Decision Making in Healthcare Systems (pp. 323–335). Cham: Springer International Publishing.
Çakır, D., Yılmaz, G., & Arıca, N. (2021). Facial action unit detection with ViT and perceiver using landmark patches. In 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 281–285). IEEE.
Kasap, Ö. Y., & Çakır, D. (2022). Analysis of transfer learning models for face mask detection. In 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 199–202). IEEE.
Çakır, D., & Yenidoğan, M. (2013, October 24). An algorithm developed to track eye movements on mobile devices (Mobil Cihazlar İçin Göz Takip Sistemi). [Patent No. 2013/12375]. Turkish Patent and Trademark Office.
EMİNE ÖZDEMİR ASLAN (HEMŞİRELİK).
Aslan, E. Ö., & Aslan, F. E. (2021). Examination of satisfaction of patients postoperative nausea and vomiting management. In Scientific Researches in Health Sciences II (pp. 247–260). Peter Lang AG.
Aslan, E. Ö., Çınar, F., & Aslan, F. E. (2021). Geriatrik hastaların anti-hipertansif tedaviye uyumu: Sistematik derleme ve metaanaliz. Türkiye Klinikleri Cardiovascular Sciences, 33(2), 61–70.
Aslan, E. Ö., Toygar, İ., Feyizoğlu, G., Polat, S., & Aslan, F. E. (2023). Relationship between the insulin use and stigma in type 2 diabetes mellitus. Primary Care Diabetes, 17(4), 373–378.
Toygar, İ., Feyizoğlu, G., Aslan, E. Ö., Gül, İ., & Yeşilbalkan, Ö. U. (2024). Validity and reliability of the Foot Care Scale for older diabetics in Turkish society. Wound Management & Prevention, 70(1).
Özdemir Aslan, E., Çınar, F., & Aslan, F. E. (2021). Adherence to anti-hypertensive treatment in geriatric patients: A systematic review and meta-analysis. Türkiye Klinikleri Cardiovascular Sciences.
Çınar, F., Eti Aslan, F., Yalın, H., İlbey Koç, B., Hacıdursunoğlu Erbaş, D., & Özdemir Aslan, E. (2021). Prevalence of pain in adult patients. Annals of Clinical and Analytical Medicine.
Aslan, F., & Aslan, E. Ö. (2019). Meme kanserli hastalarda psikososyal sorunlar ve hemşirelik yaklaşımları. Türkiye Klinikleri Journal of Surgical Nursing - Special Topics, 5(1), 51–54.
Ulutaşdemir, N., Balsak, H., Berhuni, Ö., Özdemir, E., & Ataşalan, E. (2015). The impacts of occupational risks and their effects on work stress levels of health professionals: The sample from the Southeast region of Turkey. Environmental Health and Preventive Medicine, 20, 410–421.
BANU ABBASOĞLU (EĞİTİM TEKNOLOJİSİ).
Abbasoğlu, B. (2020). Ortaokul öğrencilerinin akademik başarılarının eğitsel veri madenciliği yöntemleri ile tahmini. Veri Bilimi, 3(1), 1–10.
Bolat, Ö., & Abbasoğlu, B. (2023). Analysis of parents’ metaphors regarding the concepts of mother, father, child and individual in terms of parental involvement. Research on Education and Psychology, 7(1), 127–148. https://doi.org/10.54535/rep.1297414
GÖKNUR PARLAK (HEMŞİRELİK).
Çınar, F., Parlak, G., & Aslan, F. E. (2021). The effect of comorbidity on mortality in elderly patients undergoing emergency abdominal surgery: A systematic review and meta-analysis. Turkish Journal of Medical Sciences, 51(1), 61–67.
İşler Işıldak, Y., Eti Aslan, F., & Parlak, G. (2023). Determination of the effect of the Fowler and prone position on oxygen saturation in patients diagnosed with COVID-19. Clinical and Experimental Health Sciences, 13(1), 159–165. https://doi.org/10.33808/clinexphealthsci.1186086
Hacıdursunoğlu Erbaş, D., Parlak, G., İlbey Koç, B., & Eti Aslan, F. (2024). Metaphorical perceptions of operating room staff towards the concept of pressure ulcer: A qualitative study. Journal of Nursology, 27(4), 309–314.
ÖZLEM TUNCER TOKUR (İŞLETME).
Tokur, Ö., Yüksel, O., Ergüden, E., & Sayar, Z. (2014). Bilgi sistemleri denetimi, vergi denetimlerinde uygulanabilecek bilgi sistemleri denetimleri ve uygulamaları: Bilgi sistem denetimlerinin meslek mensuplarının algısı üzerine bir araştırma. Journal of Accounting and Taxation Studies, 7(2), 37–62.
ÇİĞDEM ERİŞ (BİLGİSAYAR MÜHENDİSLİĞİ).
Bekmezci, A. B., Eriş, Ç., & Bölük, P. S. (2018, May). A multi-layered approach to securing enterprise applications by using TLS, two-factor authentication and single sign-on. In 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1–4). IEEE. https://doi.org/10.1109/SIU.2018.8404773
Bekmezci, A. B., Eriş, Ç., & Bölük, P. S. (2018, July). İki adımlı doğrulama, TLS ve tek oturum açma ile kurumsal uygulamalarda çok katmanlı güvenlik yaklaşımı. In 26th IEEE Signal Processing and Communications Applications Conference (SIU 2018) (pp. 1–4). Institute of Electrical and Electronics Engineers Inc.
Eriş, Ç., Güngör, V. Ç., & Bölük, P. S. (2016, June). Akıllı şebeke uygulamaları için pille çalışan duyarga düğümlerinin yaşam süresi analizi. In 2016 24th Signal Processing and Communication Application Conference (SIU 2016-Proceedings) (pp. 2117–2120). Institute of Electrical and Electronics Engineers Inc.
Eriş, Ç., Gül, Ö. M., & Bölük, P. S. (2024). A novel medium access policy based on reinforcement learning in energy-harvesting underwater sensor networks. Sensors, 24(17), 5791.
Eriş, Ç., Güngör, V. Ç., & Bölük, P. S. (2016, May). Analysis of battery-powered sensor node lifetime for smart grid applications. In 2016 24th Signal Processing and Communication Application Conference (SIU) (pp. 2117–2120). IEEE.
Eriş, Ç., & Bölük, P. (2021). Nesnelerin internetinde kullanılan kablosuz algılayıcı cihazlar için bilgi merkezli ağ mimarisinin uygulanabilirliği araştırması. Avrupa Bilim ve Teknoloji Dergisi, 21, 160–171.
Eriş, C., Gül, O. M., & Bölük, P. S. (2023, June). An energy-harvesting aware cluster head selection policy in underwater acoustic sensor networks. In 2023 International Balkan Conference on Communications and Networking (BalkanCom) (pp. 1–5). IEEE.
Eriş, C., Gül, O., & Bölük, P. (2024). A novel reinforcement learning based routing algorithm for energy management in networks. Journal of Industrial and Management Optimization. (Q3)
Eriş, C., Saimler, M., Güngör, V. Ç., Fadel, E., & Akyıldız, İ. F. (2014). Lifetime analysis of wireless sensor nodes in different smart grid environments. Wireless Networks, 20, 2053–2062.
BAHAR HASIRCI (İNGİLİZ DİLİ EĞİTİMİ).
Hasırcı, B., Karakuzular, D., & Atay, D. (2018). Assessment literacy of Turkish teachers of English language: A comparative study. In International Trends in Educational Assessment (Chap. 7). Leiden, The Netherlands: Brill.
GÖKHAN DEMİRDÖKEN (İNGİLİZ DİLİ EĞİTİMİ).
Demirdöken, G., & Atay, D. (2024). Enhancing aviation English competency: A simulation-based approach for aspiring pilots. English for Specific Purposes, 76, 106–121.
KEVSER ZEYNEP MERAL (REKLAMCILIK ve Halkla İLİŞKİLER).
Meral, K. Z. (2021). Sosyal medyanın Arap Baharı’ndaki rolü. Yeni Medya Elektronik Dergisi, 5(1), 26–34.
Meral, K. Z. (2021). Social media ethics and children in the digital era: Social media risks and precautions. In Multidisciplinary approaches to ethics in the digital era (pp. 166–182). IGI Global.
Meral, K. Z. (2022). Social media reputation, corporate reputation: Social media risks on corporate reputation and precautions. In Navigating digital communication and challenges for organizations (pp. 245–270). IGI Global Scientific Publishing.
Meral, K. Z. (2024). Global media changes and digital advertising: Impact of digital advertising on consumer behavior. In Changing global media landscapes: Convergence, fragmentation, and polarization (pp. 107–127). IGI Global.
Meral, K. Z. (2021). Strategic social media marketing and data privacy. In Management strategies to survive in a competitive environment: How to improve company performance (pp. 187–199). Cham: Springer International Publishing.
Meral, K. Z., & Meral, Y. (2017). The role of social media in Arab Spring. Istanbul Medipol University.
Meral, K. Z. (2021). Social media short video-sharing TikTok application and ethics: Data privacy and addiction issues. In Multidisciplinary approaches to ethics in the digital era (pp. 147–165). IGI Global.
NERİMAN ÖZGE ÇALIŞKAN CELLATOĞLU (HEMŞİRELİK).
Çalışkan, N. Ö., & Yalın, H. (2021). Patients' perception of nursing care. In Scientific Researches in Health Sciences II (pp. 317–332). Peter Lang AG.
Cellatoğlu, N. Ö. Ç., & Uzungil, G. Y. (2024). Koroner anjiyografi sırasında koroner vazospazm gelişen hastanın fonksiyonel sağlık örüntüleri modeline göre hemşirelik bakımı: Olgu sunumu. Turkish Journal of Cardiovascular Nursing, 15(38), 171–176.
Çalışkan Cellatoğlu, N. Ö., Yüksel Uzungil, G., Yalın, H., & Karakuş, G. (2024). Nursing care according to the functional health patterns of a patient who developed coronary vasospasm during coronary angiography: Case report. Turkish Journal of Cardiovascular Nursing, 15(38), 171–176.
Çamlıca, T., Uyar, S., Çalışkan, N. Ö., & Yalın, H. (2023). COVID-19 pandemisinde hemşirelerin merhamet yorgunluğu ve korku düzeylerinin belirlenmesi: Çok merkezli bir çalışma. Ordu Üniversitesi Hemşirelik Çalışmaları Dergisi, 7(3), 685–696.
Çalışkan, N. O., Yalın, H., & Eti Aslan, F. (2022). Pandemic journey to prestige at nursing. Clinical Ethics, 17(4), 363–367.
ÖZDENUR ARDIÇ KIYAK (İNGİLİZ DİLİ EĞİTİMİ).
Akyüz, A., Tanış, A., Khalıl, E., Ardıç, Ö., & Mede, E. (2017). Effects of videos on students’ knowledge of the target language culture. İnönü Üniversitesi Eğitim Fakültesi Dergisi, 18(3), 162–174.
Akyüz, A., Tanış, A., Khalil, E., Ardıç, Ö., & Mede, E. (2018). Integrating culture in language classrooms: The effects in teaching and learning. In Innovative practices in teacher preparation and graduate-level teacher education programs (pp. 579–602). IGI Global.
ŞEBNEM NUR ATİLLA (FİZYOTERAPİ VE REHABİLİTASYON).
Ceyhan, T., Ural, İ. H., Atilla, Ş. N., Alptekin, K., & İşsever, H. (2020). MRG ile menisküs yırtığı tanısı konulan olgularda fleksör ve ekstansör kuvvetlerinin tanıdaki değeri. Bosphorus Medical Journal, 7(2), 51–57.
Ceyhan, T., Ural, İ. H., Atilla, Ş. N., Alptekin, K., & İşsever, H. (2020). The diagnostic value of flexor and extensor forces in meniscus rupture diagnosed cases with MRI. Bosphorus Medical Journal, 7(2), 51–57.
BUSE ÇİSİL GÜLDOĞMUŞ (ENDÜSTRİ MÜHENDİSLİĞİ).
Ewertowski, T., Güldoğmuş, B. Ç., Kuter, S., Akyüz, S., Weber, G. W., Sadłowska-Wrzesińska, J., & Racek, E. (2024). The use of machine learning techniques for assessing the potential of organizational resilience. Central European Journal of Operations Research, 32(3), 685–710.
Güldoğmuş, B. Ç., & Özöğür-Akyüz, S. (2024). FSOCP: Feature selection via second-order cone programming. Central European Journal of Operations Research, 1–14.
Güldoğmuş, B. Ç., Abdullah, A. N., Ali, M. A., & Özöğür-Akyüz, S. (2023). Autoselection of the ensemble of convolutional neural networks with second-order cone programming. arXiv Preprint, arXiv:2302.05950.
Güldoğmuş, B. Ç., Abdullah, A. N., Ali, M. A., & Özöğür-Akyüz, S. (2023). Autoselection of the ensemble of convolutional neural networks with second-order cone programming. arXiv e-prints, arXiv:2302.
GÖKALP GÜNEŞ (İNGİLİZ DİLİ EĞİTİMİ).
Mede, E., & Güneş, G. (2019). Integration of intercultural communicative competence (ICC) in an EFL course: Perceptions of students and teachers. İnönü Üniversitesi Eğitim Fakültesi Dergisi, 20(2), 352–363. https://doi.org/10.17679/inuefd.445793
BURAK AYTAN (BİLGİSAYAR MÜHENDİSLİĞİ).
Aytan, B., & Şakar, C. O. (2023). Deep learning-based Turkish spelling error detection with a multi-class false positive reduction model. Turkish Journal of Electrical Engineering and Computer Sciences, 31(3), 581–595.
Aytan, B., & Şakar, C. O. (2022, June). Comparison of transformer-based models trained in Turkish and different languages on Turkish natural language processing problems. In 2022 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1–4). IEEE. https://doi.org/10.1109/SIU55565.2022.9864818
Aytan, B., & Şakar, C. O. (2022). Türkçe dilinde ve farklı dillerde eğitilen dönüştürücü tabanlı modellerin Türkçe doğal dil işleme problemleri üzerindeki karşılaştırması. In 2022 30th Signal Processing and Communications Applications Conference (SIU 2022). IEEE.
YEŞİM İŞLER IŞILDAK (HEMŞİRELİK).
İşler Işıldak, Y., Eti Aslan, F., & Parlak, G. (2023). Determination of the effect of the Fowler and prone position on oxygen saturation in patients diagnosed with COVID-19. Clinical and Experimental Health Sciences, 13(1), 159–165.
Çiftçi, F., Işıldak, Y. İ., Torun, Ö., Selvan, H., Biçak, M., Kaya, H., ... & Başoğlu, C. (2010). Tüberkülozlu asker hastalarda tüberküloz bilgi düzeyi, risk algılaması ve eğitimin bu sürece etkisi. Türkiye Klinikleri Journal of Medical Sciences, 30(1), 180–186.
Isıldak, Y. I., Erbaş, D. H., & Aslan, F. E. (2024). The effects of virtual reality simulation use on nursing students during COVID-19: A systematic review. Gevher Nesibe Journal of Medical and Health Sciences, 9(2), 302–311.
Isıldak, Y. I., & Yalın, H. (2021). The concept of nursing and compassion during COVID-19. Health Sciences Quarterly, 1(3), 129–133.
ZEYNEP DEMİRCAN ŞÖNER (SİNEMA VE MEDYA ARAŞTIRMALARI).
Şöner, Z. D. (2022). The Sufi literary subtext in Kaplanoğlu’s Grain (Buğday). Cinema: Journal of Philosophy and the Moving Image, (14), 79–93.
Demircan Şöner, Z. (2022). A visual culture analysis of an Ottoman figural calligraphy from seventeenth century. Academia Letters, 2.
HURİYE ARZU ÖZTÜRK (İNGİLİZ DİLİ EĞİTİMİ).
Kurt, G., Atay, D., & Öztürk, H. A. (2021). Student engagement in K12 online education during the pandemic: The case of Turkey. Journal of Research on Technology in Education, 54(sup1), S31–S47.
Öztürk, H. A. (2020). My quest for negotiating meaning: Reflections on my dilemmas about practices of English language teaching in public school context in Turkey—An autoethnography. Technium Social Sciences Journal, 7, 36–48.
Öztürk, H. A., & Atay, D. (2024). Helping EFL teachers build capacity for effective curriculum implementation: A case study. Journal of Teacher Education and Lifelong Learning, 6(2), 330–346.
Öztürk, H. A. (2022). Authentic BBC videos in primary school EFL classroom: An action research study. ELT Research Journal, 11(2), 91–113.
TUĞÇE KARABAĞ (ÖZEL HUKUK).
Karabağ, T. (2020). Kıdem tazminatının dünü, bugünü ve yarını. Çalışma ve Toplum, 4(67), 2341–2376.
ALİ KARAAĞAÇ (FİZYOTERAPİ ve REHABİLİTASYON).
Karaağaç, A., & Bilgiç, T. (2024). Evaluation of Posture, Joint Movement, and Proprioception in Individuals with and without Chronic Neck Pain. BAU Health And Innovation, 1(3).
TUĞÇE BİLGİÇ (FİZYOTERAPİ ve REHABİLTASYON).
Karaağaç, A., & Bilgiç, T. (2024). Evaluation of posture, joint movement, and proprioception in individuals with and without chronic neck pain. BAU Health and Innovation, 1(3).
HÜSNİYE MERVE DEMİRER (FİZYOTERAPİ ve REHABİLTASYON).
Demirer, H. M., Alptekin, H. K., & Keşli, E. E. (2023). Primer dismenore’li bir genç yetişkinde transkütanöz auriküler vagus sinir stimülasyonunun etkileri: Bir olgu sunumu. İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi, (21), 1314–1322.
SERPİL UYAR (HEMŞİRELİK).
Uyar, S., Yalçınkaya, Z., Aslan, F. E., & Yalın, H. (2024). Investigation of symptoms and mortality in hypertension patients diagnosed with COVID-19: A retrospective case-control study. Health Sciences Quarterly, 4(1), 21–30.
M.IMRAN HOSEN (BİLGİSAYAR MÜHENDİSLİĞİ).
Hosen, M. I., & Aydin, T. (2024). Edge devices friendly multi-human parsing with lightweight encoding and multi-scale self-attention based decoding. Multimedia Tools and Applications, 1–21.
Imani, H., Hosen, M. I., Feryad, V., & Akyol, A. (2023, March). Efficient object detection model for edge devices. In International Conference on Advanced Engineering, Technology and Applications (pp. 83–94). Cham: Springer Nature Switzerland.
Hosen, M. I., Aydin, T., & Islam, M. B. (2024). WNet: A dual‐encoded multi‐human parsing network. IET Image Processing, 18(12), 3316–3328.
Hosen, M. I., & Islam, M. B. (n.d.). Forecasting wearing-off in Parkinson's disease: An ensemble learning approach using wearable data. In Activity, Behavior, and Healthcare Computing (pp. 324–334). CRC Press.
Hosen, M. I., Islam, M. B., & Sadeghzadeh, A. (2021, December). An effective multi-camera dataset and hybrid feature matcher for real-time video stitching. In 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1–6). IEEE. https://doi.org/10.1109/IVCNZ54163.2021.9653352
Hosen, M. I., & Islam, M. B. (2022). Himfr: A hybrid masked face recognition through face inpainting. arXiv Preprint, arXiv:2209.08930.
Hosen, M. I., Tabassum, T., Akhter, J., & Islam, M. I. (2018). Detection of fruits defects using colour segmentation technique. International Journal of Computer Science & Information Security (IJCSIS), 16(6), 215–223.
Hosen, M. I., & Islam, M. B. (2022, September). Masked face inpainting through residual attention unet. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1–5). IEEE.
Akter, R., & Hosen, M. I. (2020, December). CNN-based leaf image classification for Bangladeshi medicinal plant recognition. In 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) (pp. 1–6). IEEE. https://doi.org/10.1109/ETCCE51779.2020.9350900
Islam, M. B., & Hosen, M. I. (2022, August). Emotion, age and gender prediction through masked face inpainting. In International Conference on Pattern Recognition (pp. 37–48). Cham: Springer Nature Switzerland.
Hosen, M. I., Abdullah, A. N., Aydin, T., Ahad, M. A. R., & Islam, M. B. (n.d.). Predicting heatstroke risk and preventing health complications: An innovative approach using machine learning and physiological data. In Activity, Behavior, and Healthcare Computing (pp. 208–219). CRC Press.
AREZOO SADEGHZADEH KOGAJEHSOLTAN (BİLGİSAYAR MÜHENDİSLİĞİ).
Gürler, K., Coşkun, M., Karagenç, Ş., Örün, G., Kuleli, B., Sadeghzadeh, A., Tunçer, E., & Gümüştekin, Ş. (n.d.). Depth camera calibration using 4 spheres on tetrahedron corners. In D. Ö. Algoritmalarını (Ed.), Derin öğrenme.
Sadeghzadeh, A., & Rahman, S. (n.d.). CataractNet: An automated cataract detection system using deep learning for fundus images. [Manuscript submitted for publication].
Shah Junayed, M., Sadeghzadeh, A., Islam, M. B., Wong, L. K., & Aydin, T. (2022). HiMODE: A hybrid monocular omnidirectional depth estimation model. arXiv e-prints, arXiv:2204.
Junayed, M. S., Sadeghzadeh, A., & Islam, B. (2023). Skin disease recognition and classification using machine learning and deep learning in Python. In Artificial intelligence for disease diagnosis and prognosis in smart healthcare (pp. 71–106). IGI Global.
Islam, M. B., & Sadeghzadeh, A. (2021, October). BinoVFAR: An efficient binocular visual field assessment method using augmented reality glasses. In Proceedings of the 23rd Symposium on Virtual and Augmented Reality (pp. 92–100).
Sadeghzadeh, A., Islam, M. B., & Zaker, R. (2021). An efficient video desnowing and deraining method with a novel variant dataset. In Computer Vision Systems: 13th International Conference, ICVS 2021, Virtual Event, September 22–24, 2021, Proceedings 13 (pp. 195–208). Springer International Publishing.
Hosen, M. I., Islam, M. B., & Sadeghzadeh, A. (2021, December). An effective multi-camera dataset and hybrid feature matcher for real-time video stitching. In 2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1–6). IEEE.
Asgari, M., Sadeghzadeh, A., Islam, M. B., Rada, L., & Bozeman, J. (2022). Deep learning-based vector mosquitoes classification for preventing infectious diseases transmission. Image Analysis and Stereology, 41(3), 203–215. https://doi.org/...
Colak, S., Sadeghzadeh, A., & Islam, M. B. (2023, March). T-SignSys: An efficient CNN-based Turkish sign language recognition system. In International Conference on Advanced Engineering, Technology and Applications (pp. 226–241). Cham: Springer Nature Switzerland.
Sadeghzadeh, A., Junayed, M. S., Aydin, T., & Islam, M. B. (2023, October). Hybrid CNN + transformer for diabetic retinopathy recognition and grading. In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1–6). IEEE.
Sadeghzadeh, A., Islam, B., & Ahad, A. R. (2024). Static sign language recognition using segmented images and HOG on cluttered backgrounds. In Human Activity and Behavior Analysis (pp. 23–45). CRC Press.
Sadeghzadeh, A., & Islam, M. B., Uddin, M. N., & Aydin, T. (2024). ARVA: An augmented reality-based visual aid for mobility enhancement through real-time video stream transformation. IEEE Access.
Sadeghzadeh, A., Shah, A. S., & Islam, M. B. (2024). MLMSign: Multi-lingual multi-modal illumination-invariant sign language recognition. Intelligent Systems with Applications, 22, 200384.
Sadeghzadeh, A., & Ebrahimnezhad, H. (2016, September). Head pose estimation based on fuzzy systems using facial geometric features. In 2016 8th International Symposium on Telecommunications (IST) (pp. 777–782). IEEE.
Zaker, R., & Sadeghzadeh, A. (2018). Double‐layer ultra‐thin artificial magnetic conductor structure for wideband radar cross‐section reduction. IET Microwaves, Antennas & Propagation, 12(9), 1601–1607.
Zaker, R., & Sadeghzadeh, A. (2019). Wideband radar cross section reduction using a novel design of artificial magnetic conductor structure with a triple‐layer chessboard configuration. International Journal of RF and Microwave Computer‐Aided Engineering, 29(2), e21545.
Zaker, R., & Sadeghzadeh, A. (2019). A low-profile design of polarization rotation reflective surface for wideband RCS reduction. IEEE Antennas and Wireless Propagation Letters, 18(9), 1794–1798.
Sadeghzadeh, A., & Ebrahimnezhad, H. (2020). Pose‐invariant face recognition based on matching the occlusion free regions aligned by 3D generic model. IET Computer Vision, 14(5), 268–27
Zaker, R., & Sadeghzadeh, A. (2020). Passive techniques for target radar cross section reduction: A comprehensive review. International Journal of RF and Microwave Computer‐Aided Engineering, 30(11), e22411.
Junayed, M. S., Islam, M. B., Sadeghzadeh, A., & Rahman, S. (2021). CataractNet: An automated cataract detection system using deep learning for fundus images. IEEE Access, 9, 128799–128808.
Junayed, M. S., Islam, M. B., Jeny, A. A., Sadeghzadeh, A., Biswas, T., & Shah, A. S. (2021). ScarNet: Development and validation of a novel deep CNN model for acne scar classification with a new dataset. IEEE Access, 10, 1245–1258.
Junayed, M. S., Islam, M. B., Sadeghzadeh, A., & Aydin, T. (2021, August). Real-time YOLO-based heterogeneous front vehicles detection. In 2021 International Conference on Innovations in Intelligent Systems and Applications (INISTA) (pp. 1–7). IEEE.
Junayed, M. S., Sadeghzadeh, A., & Islam, M. B. (2021, December). Deep covariance feature and CNN-based end-to-end masked face recognition. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (pp. 1–8). IEEE.
Sadeghzadeh, A., & Islam, M. B. (2022, September). Triplet loss-based convolutional neural network for static sign language recognition. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1–6). IEEE.
Sadeghzadeh, A., & Islam, M. B. (2022, November). BiSign-Net: Fine-grained static sign language recognition based on bilinear CNN. In 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (pp. 1–4). IEEE.
Junayed, M. S., Sadeghzadeh, A., Islam, M. B., Wong, L. K., & Aydın, T. (2022). HiMODE: A hybrid monocular omnidirectional depth estimation model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5212–5221).
Islam, M. B., Junayed, M. S., Sadeghzadeh, A., Anjum, N., Ahsan, A., & Shah, A. S. (2023). Acne vulgaris detection and classification: A dual integrated deep CNN model. Informatica, 47(4).