The review highlights the key advantage of transformers: their ability to handle vast, complex, and heterogeneous data ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

In this study, we propose an innovative approach that integrates multimodal deep learning with Explainable ... contribution of input features, increasing model transparency and clinical applicability.

This paper proposes a hybrid deep learning architecture based on a Vision Transformer for Moiré fringe phase analysis. By training on various types of Moiré fringe datasets, the model can predict the ...

This project proposes a deep learning-based approach using the pre-trained transformer model Wav2Vec2 to identify emotions such as happiness, sadness, anger, and neutrality directly from raw audio.

Contribute to Saadmomin2903/MLP development by creating an account on GitHub.

The AI bot, developed by OpenAI and based on a Large Language Model (or LLM), continues to ... ChatGPT works thanks to a combination of deep learning algorithms, a dash of natural language ...