| Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks S Toraman, TB Alakus, I Turkoglu Chaos, Solitons & Fractals 140, 110122, 2020 | 368 | 2020 |
| A deep learning-based decision support system for diagnosis of OSAS using PTT signals SA Tuncer, B Akılotu, S Toraman Medical hypotheses 127, 15-22, 2019 | 62 | 2019 |
| Classification of the likelihood of colon cancer with machine learning techniques using FTIR signals obtained from plasma S Toraman, M Girgin, B Üstündağ, İ Türkoğlu Turkish Journal of Electrical Engineering and Computer Sciences 27 (3), 1765 …, 2019 | 45 | 2019 |
| Investigation of the discrimination and characterization of blood serum structure in patients with opioid use disorder using IR spectroscopy and PCA-LDA analysis Z Guleken, B Ünübol, R Bilici, D Sarıbal, S Toraman, O Gündüz, ... Journal of Pharmaceutical and Biomedical Analysis 190, 113553, 2020 | 42 | 2020 |
| Is it possible to detect cerebral dominance via EEG signals by using deep learning? S Toraman, SA Tuncer, F Balgetir Medical hypotheses 131, 109315, 2019 | 32 | 2019 |
| Prediction of air pollutants for air quality using deep learning methods in a metropolitan city B Das, ÖO Dursun, S Toraman Urban climate 46, 101291, 2022 | 29 | 2022 |
| Automatic recognition of preictal and interictal EEG signals using 1D-capsule networks S Toraman Computers & Electrical Engineering 91, 107033, 2021 | 26 | 2021 |
| Preictal and Interictal Recognition for Epileptic Seizure Prediction Using Pre-trained 2DCNN Models. S Toraman Traitement du Signal 37 (6), 2020 | 25 | 2020 |
| Biochemical assay and spectroscopic analysis of oxidative/antioxidative parameters in the blood and serum of substance use disorders patients. A methodological comparison study Z Guleken, SE Kuruca, B Ünübol, S Toraman, R Bilici, D Sarıbal, ... Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 240, 118625, 2020 | 25 | 2020 |
| Deep transfer learning for automated liver cancer gene recognition using spectrogram images of digitized DNA sequences B Das, S Toraman Biomedical Signal Processing and Control 72, 103317, 2022 | 23 | 2022 |
| Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes H Aygun, OO Dursun, S Toraman Energy 271, 127026, 2023 | 18 | 2023 |
| Diagnosis of opioid use disorder with high sensitivity and specificity by advanced computational analysis of Fourier transform infrared spectroscopy Z Güleken, B Ünübol, S Toraman, R Bilici, O Gündüz, SE Kuruca Infrared Physics & Technology 105, 103218, 2020 | 16 | 2020 |
| A new method for classifying colon cancer patients and healthy people from FTIR signals using wavelet transform and machine learning techniques S Toraman, I Turkoglu Journal of the Faculty of Engineering and Architecture of Gazi University 35 …, 2020 | 14 | 2020 |
| GameEmo-CapsNet: Emotion Recognition from Single-Channel EEG Signals Using the 1D Capsule Networks. S Toraman, ÖO Dursun Traitement du Signal 38 (6), 2021 | 13 | 2021 |
| A novel genome analysis method with the entropy-based numerical techniqueusing pretrained convolutional neural networks B DAŞ, S Toraman, İ TÜRKOĞLU Turkish Journal of Electrical Engineering and Computer Sciences 28 (4), 1932 …, 2020 | 11 | 2020 |
| Karar ağaçları ve fraktal analiz kullanarak histopatolojik imgelerin sınıflandırılması İ TÜRKOĞLU, S TORAMAN Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 22 (4), 753-758, 2007 | 11 | 2007 |
| Uzun kısa vadeli bellek yöntemi ile havayolu yolcu tahmini ÖO Dursun, S Toraman Journal of Aviation 5 (2), 241-248, 2021 | 9 | 2021 |
| Derin Öğrenme ile İnsansız Hava Aracı Görüntülerinden Yaya Tespiti S Toraman Journal of Aviation 2 (2), 64-69, 2018 | 9 | 2018 |
| Modeling of performance and thermodynamic metrics of a conceptual turboprop engine by comparing different machine learning approaches OO Dursun, S Toraman, H Aygun International Journal of Energy Research 46 (15), 21084-21103, 2022 | 8 | 2022 |
| Tıbbi görüntülerden istenen bir örüntünün ayrıştırılması İ Türkoğlu, A Şengür, S Toraman Yıldız Teknik Üniversitesi DSpace Kurumsal Arşiv, 2013 | 8 | 2013 |
Ibrahim TurkogluProfessor of Department of Software Engineering, Firat Universityایمیل تأیید شده در firat.edu.tr