Abstract: In this paper, we consider an arbitrary number of joints and their arbitrary joint locations along the center line of a displacement-actuated continuum robot. To achieve this, we revisit the ...

SAN FRANCISCO, Sept. 09, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for its industry-standard MLPerf ® ...

Add a description, image, and links to the encoder-decoder-architecture topic page so that developers can more easily learn about it.

The final, formatted version of the article will be published soon. Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the "classification problem" describes the mapping from inputs to category labels, ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and ...

ABSTRACT: Bipolar disorder is a severe psychiatric condition characterized by mood instability, and a specific subtype known as rapid cycling presents with frequent mood episodes, complicating ...