TEGEGN DAGMAWI DELELEGN

(2023). Process of analyzing organic materials, based on processing of near infrared spectra through advanced methods. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2023). Dettaglio

Zancanaro, A., Cisotto, G., Tegegn, D., Manzoni, S., Reguzzoni, I., Lotti, E., et al. (2022). Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study. In 2022 IEEE Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2022 - Proceedings (pp.126-130). Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor55389.2022.9964641]. Dettaglio

Tegegn, D., Zoppis, I., Manzoni, S., Sas, C., Lotti, E. (2021). Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum. In BIOSTEC 2021. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 (pp.169-176). AV D MANUELL, 27A 2 ESQ, SETUBAL, 2910-595, PORTUGAL : SciTePress [10.5220/0010244101690176]. Dettaglio