| Issue Date | Title | Author(s) |
| 2022 | Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods | Büyükarıkan, Birkan; Ülker, Erkan |
| 2021 | Coronavirus (Covid-19) classification using CT images by machine learning methods | Barstuğan, Mücahid ; Özkaya, U. ; Öztürk, Ş. |
| 2022 | COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization | Aslan, Muhammet Fatih; Sabancı, Kadir; Durdu, Akif ; Ünlerşen, Muhammed Fahri |
| 2022 | Determination of Punching Shear Capacity of Concrete Slabs Reinforced with FRP Bars Using Machine Learning | Doğan, Gamze ; Arslan, Musa Hakan |
| 2023 | Enhancing classification accuracy through feature extraction: a comparative study of discretization and clustering approaches on sensor-based datasets | Esme, Engin |
| 2022 | Estimation of UAV flight time and Battery Consumption for photogrammetric application using multiple machine learning algorithms | Bilgehan, Makineci Hasan; Mustafa, Hüsrevoğlu; Hakan, Karabörk |
| 2023 | Flow control over a circular cylinder using vortex generators: Particle image velocimetry analysis and machine-learning-based prediction of flow characteristics | Okbaz, A.; Aksoy, M.H.; Kurtulmuş, N.; Çolak, A.B. |
| 2021 | Güney çin denizi politikaları üzerine twitter verileriyle duygu analizi | Choyan, Khondoker Zahidul Hossain |
| 2024 | Investigation of the importance of criteria in potential wind farm sites via machine learning algorithms | Sari F.; Yalcin M. |
| 2021 | Konutlarda dönemsel farklılıkların tespiti için derin öğrenme tabanlı bir cephe analiz yöntemi: Konya örneği | Dönmez, Mustafa Alper |
| 2023 | Machine Learning Approach for Flow Fields Over a Circular Cylinder Based on Particle Image Velocimetry Measurements | Aksoy, M.H.; Goktepeli, I. ; Ispir, M.; Cakan, A. |
| 2023 | Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method | Özmen, Güzin; Özsen, Seral ; Paksoy, Yahya; Güler, Özkan; Tekdemir, Rukiye |
| 2022 | Machine Learning Based Self-Balancing and Motion Control of the Underactuated Mobile Inverted Pendulum With Variable Load | Ünlütürk, Ali; Aydoğdu, Ömer |
| 2023 | Machine Learning Prediction of Wind Turbine Energy Production | Erdem, O.E.; Sarucan, A. ; Baysal, M.E. |
| 2022 | Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features | Balcı, Mehmet; Taşdemir, Şakir; Özmen, Güzin; Gölcük, Adem |
| 2024 | Machine learning-based shear strength prediction of exterior RC beam-column joints | Dogan, G. |
| 2021 | Performance comparison of extreme learning machines and other machine learning methods on WBCD data set | Keskin, O.S.; Durdu, A. ; Aslan, M.F.; Yusefi, A. |
| 2023 | Predicting Compressive Strength of Color Pigment Incorporated Roller Compacted Concrete via Machine Learning Algorithms: A Comparative Study | Çalış, Gökhan; Yildizel, Sadik Alper; Keskin, Ülkü Sultan |
| 2020 | Prediction of middle school students' programming talent using artificial neural networks | Çetinkaya, Ali; Baykan, Ömer Kaan |
| 2021 | Semen quality predictive model using Feed Forwarded Neural Network trained by Learning-Based Artificial Algae Algorithm | Yibre, Abdulkerim Mohammed; Koçer, Barış |
| 2023 | Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture | Ortataş, Fatma Nur; Özkaya, Umut ; Şahin, Muhammet Emin; Ulutaş, Hasan |
