2023

1. E-nose as a non-destructive and fast method for identification and classification of coffee beans based on soft computing models
artykuł [AUT.] Ehsan Aghdamifar , [AUT. KOR.] Vali Rasooli Sharabiani , [AUT.] Ebrahim Taghinezhad , [AUT. KOR.] Mariusz Szymanek, [AUT.] Agata Dziwulska-Hunek. SENSORS AND ACTUATORS B-CHEMICAL 2023 T. 393 s. 134229, DOI: 10.1016/j.snb.2023.134229
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