| The determination of the levels of burnout syndrome, organizational commitment, and job satisfaction of the health workers O Gorgulu, A Akilli Nigerian journal of clinical practice 20 (1), 48-56, 2017 | 72 | 2017 |
| Çiğ süt kalite değerlendirmesinde bulanık mantık yaklaşımı A Akıllı, H Atıl, H Kesenkaş | 32 | 2014 |
| Comparison of artificial neural network and multiple linear regression for prediction of live weight in hair goats S Akkol, A Akıllı, İ Cemal Yuzuncu Yıl University Journal of Agricultural Sciences 27 (1), 21-29, 2017 | 28 | 2017 |
| Evaluation of normalization techniques on neural networks for the prediction of 305-day milk yield A Akıllı, H Atıl Turkish Journal of Agricultural Engineering Research 1 (2), 354-367, 2020 | 19 | 2020 |
| Use of fuzzy logic based decision support systems in medicine O Gorgulu, A Akilli Studies on Ethno-Medicine 10 (4), 393-403, 2016 | 17 | 2016 |
| Comparative assessments of multivariate nonlinear fuzzy regression techniques for egg production curve A Akilli, O Gorgulu Tropical Animal Health and Production 52 (4), 2119-2127, 2020 | 15 | 2020 |
| Comparison of artificial neural network and K-means for clustering dairy cattle H Atıl, A Akıllı International Journal of Sustainable Agricultural Management and Informatics …, 2016 | 15 | 2016 |
| Süt sığırcılığında yapay zeka teknolojisi: Bulanık mantık ve yapay sinir ağları A Akıllı, H Atıl Hayvansal Üretim 55 (1), 39-45, 2014 | 14 | 2014 |
| Genotype-environment interaction and phenotypic stability analysis for yield of corn cultivar U Karadavut, A Akilli Greener Journal of Agricultural Sciences 2 (9), 220-23, 2012 | 12 | 2012 |
| Egg production curve fitting using least square support vector machines and nonlinear regression analysis O Gorgulu, A Akilli EUGEN ULMER GMBH CO, 2018 | 8 | 2018 |
| Investigation of dairy cattle traits by using artificial neural networks and cluster analysis H Atıl, A Akıllı CEUR-WS, 2015 | 8 | 2015 |
| Fuzzy logic-based decision support system for dairy cattle A Akıllı, H Atıl, Ç Takma, T Ayyılmaz | 7 | 2016 |
| Artificial intelligence technologies in dairy science: fuzzy logic and artificial neural network A Akilli, H Atil Hayvansal Uretim 55 (1), 39-45, 2014 | 7 | 2014 |
| Fuzzy logic approach in the evaluation of raw milk quality. A Akıllı, H Atıl, H Kesenkaș | 6 | 2014 |
| Path analysis for factor affecting the 305-day milk yield of Holstein cows A Akıllı, E Kul, H Atıl Journal of Agricultural Faculty of Gaziosmanpaşa University (JAFAG) 39 (3 …, 2022 | 3 | 2022 |
| Kıl Keçilerinin Canlı Ağırlık Tahmininde Yapay Sinir Ağları ve Çoklu Doğrusal Regresyon Yöntemlerinin Karşılaştırılması S Akkol, A Akıllı, İ Cemal | 3 | 2017 |
| Investigation of awareness level of climate change: the case of Kırşehir. B Özdemir, A Özdamar, S Kıymaz, A Akıllı | 2 | 2022 |
| Effect of Normalization Techniques On Data Mining Methods: Case Study for Dairy Cattle Data A AKILLI, H ATIL Veri Madenciliği Yöntemleri: Tarim Alanında Uygulamaları. Çanakkale: Rating …, 2020 | 2 | 2020 |
| Estimation of 305-days milk yield using fuzzy linear regression in jersey dairy cattle Ö Görgülü, A Akıllı Pakistan Agricultural Scientists Forum, 2018 | 2 | 2018 |
| Power analyse review of research articles in life science journals O Gorgulu, A Akilli The Anthropologist 27 (1-3), 23-31, 2017 | 2 | 2017 |
