Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The

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https://doi.org/10.1007/978-981-13-2059-0used but often confused because of their similar appearance. This confusion can result in inexperienced or visually impaired people using the wrong herb, thus altering the flavor and unique qualities of the dishes. To address this problem, in this work, we present an image classification model capab

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People Management in the Public Sector,ic representation. This paper uses deep learning methods and models AMT as a translation problem, comparing the effectiveness of an instance-based translation approach using an MLP to a sequence-based approach using an RNN. The models were trained on the EsAc dataset and evaluated using MUSTER metri