N. A. TAPAN Et Al. , "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle," FOOD ANALYTICAL METHODS , vol.16, no.3, pp.604-614, 2023
TAPAN, N. A. Et Al. 2023. Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle. FOOD ANALYTICAL METHODS , vol.16, no.3 , 604-614.
TAPAN, N. A., Gunay, M. E., & Yildirim, N., (2023). Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle. FOOD ANALYTICAL METHODS , vol.16, no.3, 604-614.
TAPAN, NİYAZİ, M. Erdem Gunay, And Nilufer Yildirim. "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle," FOOD ANALYTICAL METHODS , vol.16, no.3, 604-614, 2023
TAPAN, NİYAZİ A. Et Al. "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle." FOOD ANALYTICAL METHODS , vol.16, no.3, pp.604-614, 2023
TAPAN, N. A. Gunay, M. E. And Yildirim, N. (2023) . "Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle." FOOD ANALYTICAL METHODS , vol.16, no.3, pp.604-614.
@article{article, author={NİYAZİ ALPER TAPAN Et Al. }, title={Application of Machine Learning for the Determination of Damaged Starch Ratio as an Alternative to Medcalf and Gilles Principle}, journal={FOOD ANALYTICAL METHODS}, year=2023, pages={604-614} }