Titlebook: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri

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https://doi.org/10.1007/978-3-662-40126-2ion outcomes. The study aims to gain insights into the patterns that were learned correctly or incorrectly by the model. To identify these scenarios, an association rule algorithm is applied to extract the patterns learned by the deep learning model. The rules are then analyzed and classified based

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https://doi.org/10.1007/978-3-662-40128-6e, such as the elderly or visually impaired individuals, who require special care in their daily lives. In this work, we introduce the usage of SwinBERT, a powerful and recent video captioning model for home scenes using various lexical transformations to maximize the semantic similarity of captions

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https://doi.org/10.1007/978-3-031-42536-3Soft Computing; Soft Computing Models; Industrial and Environmental Applications; SOCO; SOCO23; Intellige

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978-3-031-42535-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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18th International Conference on Soft Computing Models in Industrial and Environmental Applications Salamanca, Spain, Se