Review of deep learning-based methods for non-destructive evaluation of agricultural products
Deep Learning (DL) has emerged as a pivotal modelling tool in various domains because of
its proficiency in learning distributed representations. Numerous DL algorithms have …
its proficiency in learning distributed representations. Numerous DL algorithms have …
Bacterial diversity of mineral well water from ten sources belonging to the Guarani aquifer system: assessment by cultivation-dependent and cultivation-independent …
DMV Boas, H Sierra, LP Margalho, ACH Ramos… - Groundwater for …, 2024 - Elsevier
Mineral water must be safe for consumption. The study aimed to assess the bacterial
diversity of mineral water samples collected directly from extraction wells through both …
diversity of mineral water samples collected directly from extraction wells through both …
Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN
SK Damarla, X Zhu, M Kundu - Proceedings of the 6th Joint International …, 2023 - dl.acm.org
In this work, a multi-class classifier based on Markov transition field (MFT) and convolutional
neural network (CNN) is developed for discrimination and authentication of water samples …
neural network (CNN) is developed for discrimination and authentication of water samples …