Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a ...

and deep learning models are trained by federated learning among the servers. In this paper, we first reveal that the training time depends on the transfer routes and the destinations of data and ...

Abstract: In recent years, deep learning-based intelligent diagnosis approaches ... and partial-contractive layers is proposed in this paper. On the one hand, the CDA in DTCNN features the conjoint ...

[EMNLP-15]: PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. [paper] [COLING-16]: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods.

Objective: This paper proposes a method for extracting brain functional network features based on directed transfer function (DTF ... s intricate multidimensional dynamical information. Deep learning ...

In conclusion, this paper’s key contributions are: 1. We propose a transfer learning-based framework ... 2021)architecture as the foundation for our deep learning model to extract critical features ...

and fully developed contributions as a journal or transactions paper. This publication process is an important means of scientific communication. At the same time, however, IEEE requires that this ...

In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define ...

OpenAI's new Deep Research for ChatGPT is made to create research papers, though Google Gemini 2.0 has a very similar feature ...

OpenAI has launched a new feature ... Deep Research is powered by a specialised version of OpenAI's new o3 model, designed for web browsing and data analysis. This model employs reinforcement ...