| Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study A Zancanaro, G Cisotto, DD Tegegn, SL Manzoni, I Reguzzoni, E Lotti, ... 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor …, 2022 | 5 | 2022 |
| Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum DD Tegegn, IF Zoppis, S Manzoni, C Sas, E Lotti Proceedings of the 14th International Joint Conference on Biomedical …, 2021 | 5 | 2021 |
| Process of analyzing organic materials, based on processing of near infrared spectra through advanced methods D Tegegn Università degli Studi di Milano-Bicocca, 2023 | 1 | 2023 |
| Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy. TD Delelegn, IF Zoppis, S Manzoni, A Mognato, I Reguzzoni, E Lotti AIABI@ AI* IA, 2021 | 1 | 2021 |
| An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit G Cisotto, DD Tegegn, A Zancanaro, I Reguzzoni, E Lotti, SL Manzoni, ... 2024 19th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2024 | | 2024 |
Italo ZoppisDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca在 unimib.it 的电子邮件经过验证
