Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2024 The Editor(s) (if applicable) and The Author(s), under e

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,Suicide Ideation Prediction Through Deep Learning: An Integration of CNN and Bidirectional LSTM witas follows: Will there be a difference in F1 score between two-word embeddings when combined with CNN-BiLSTM? And will the overfitting issue in the existing study be addressed? Using an existing study as a baseline, experimentation was done using a secondary Reddit dataset of 232,074 posts, achievin

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,An Unsupervised Deep Learning Model for Aspect Retrieving Using Transformer Encoder,milar contexts, as opposed to topic models and other techniques that often presume independently created words. To further enhance the coherence of the aspects, we use multi-headed attention technique in the encoder of the RATE architecture to downplay unimportant words during training. The RATE mod

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Personalized Student Performance Prediction Modeling for Student Digital Twins,tions often rely on a shared and generalized predictive algorithm that is trained on a collection of students’ past performances but applied to individual students. The presented work investigates the inconsistencies of these generalized predictive models to demonstrate that one algorithm does not w

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Cindy van den Berg,Sunet Eyberseilt werden. Die Zusammenstellung der Beziehungen zwischen Verbrauchseinheiten und Preisen wird das „Tarifschema“ genannt. Wenn nun auch die einzelnen Schemata sowohl nach ihrer Grundlage als auch nach ihrer Form sehr verschieden sein werden, so müssen doch stets bestimmte allgemeine Forderungen erf