| Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression H Kavuncuoglu, E Kavuncuoglu, SM Karatas, B Benli, O Sagdic, H Yalcin Journal of microbiological methods 148, 78-86, 2018 | 47 | 2018 |
| Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits N Çetin, K Karaman, E Kavuncuoğlu, B Yıldırım, A Jahanbakhshi Chemometrics and Intelligent Laboratory Systems 230, 104650, 2022 | 34 | 2022 |
| Relationships between skin cancers and blood groups-link between non-melanomas and ABO/Rh factors YB Cihan, H Baykan, E Kavuncuoglu, H Mutlu, MB Kucukoglu, K Ozyurt, ... Asian Pacific Journal of Cancer Prevention 14 (7), 4199-4203, 2013 | 25 | 2013 |
| Investigating the performance of wearable motion sensors on recognizing falls and daily activities via machine learning E Kavuncuoğlu, E Uzunhisarcıklı, B Barshan, AT Özdemir Digital Signal Processing 126, 103365, 2022 | 14 | 2022 |
| Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers A Zongur, H Kavuncuoglu, E Kavuncuoglu, TD Capar, H Yalcin, ... Journal of Microbiological Methods 192, 106379, 2022 | 5 | 2022 |
| Artificial Intelligence (AI) algorithms for evaluation of optical fiber scintillation detector performance E Kavuncuoğlu, F Yıldız, AT Özdemir Optik 258, 168791, 2022 | 4 | 2022 |
| Estimation of emotional and social loneliness in elders with the developed artificial neural networks and multiple linear regression models H AKGÜL, E UZUNHİSARLIKÇI, E KAVUNCUOĞLU Mugla Journal of Science and Technology 6 (1), 50-62, 2020 | 3 | 2020 |
| ESTIMATION OF EMOTIONAL AND SOCIAL LONELINESS IN ELDERS WITH THE DEVELOPED ARTIFICIAL NEURAL NETWORKS AND MULTIPLE LINEAR REGRESSION MODELS. E UZUNHİSARLIKCI, H AKGÜL, E KAVUNCUOĞLU Mugla Journal of Science & Technology 6 (1), 2020 | 2 | 2020 |
| Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition E Uzunhisarcıklı, E Kavuncuoğlu, AT Özdemir Computational Intelligence 38 (4), 1402-1449, 2022 | 1 | 2022 |
| Exploration of Machine Learning Algorithms for pH and Moisture Estimation in Apples Using VIS-NIR Imaging E Kavuncuoğlu, N Çetin, B Yildirim, M Nadimi, J Paliwal Applied Sciences 13 (14), 8391, 2023 | | 2023 |
| PREDICTION OF COMPUTER GAME ADDICTION IN CHILDREN USING DEVELOPED ARTIFICIAL NEURAL NETWORKS (ANN) AND MULTIPLE LINEAR REGRESSION (MLR) MODELS E Uzunhisarcıklı, E Kavuncuoglu, H Akgül Trakya Üniversitesi Sosyal Bilimler Dergisi 23 (2), 551-570, 2021 | | 2021 |
| Ekonomik Büyümenin İstihdama Etkileri: GSYİH ve İstihdam Verileri Işığında Tahminleme Modeli Olarak Yapay Sinir Ağı ve Çoklu Doğrusal Regresyonun Karşılaştırılması MÜ Aslan, E Kavuncuoğlu, E Uzunhisarcıklı İşletme Akademisi Dergisi 1 (3), 235-260, 2020 | | 2020 |
| Journal of Business Academy MÜ ASLAN, E KAVUNCUOĞLU, E UZUNHİSARCIKLI Journal of Business 235, 260, 2020 | | 2020 |
| The reevaluate statistical results of aproach about pedagogy of anatolian in parents, lived in one Anatolian City using artificial neural network and multivariate regression … E Uzunhisarcikli, V Şenol, E Kavuncuoğlu, R Pekşen Akça, F Çetinkaya Turkish Online Journal of Educational Technology 2016 (july), 2016 | | 2016 |
| Fiber traktografi ile haritalandırılmış yolakların, beyin tümörleri ile etkileşiminin üç boyutlu incelenmesi E Kavuncuoğlu Fen Bilimleri Enstitüsü, 2015 | | 2015 |
