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In contrast, text convolutional recurrent neural networks (TextrCNNs) can capture long-term dependencies. This paper proposes a two-channel intention recognition algorithm named GTT ... THUNews public ...

In this paper, based on differential evolution (DE) optimization algorithm and fuzzy nonlinear auto regressive with exogenous inputs (NARX) model, an iterative learning model predictive controller is ...

van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN ... The findings are solid, though quantitative evidence that model can produce any of ...

Several classical machine learning algorithms were applied in combination with the BGE-M3 large-language model (LLM) for enhanced semantic feature extraction. Area under the receiver operating ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...