Abstract: To address the lack of generalized feature representation in cross-domain electroencephalogram emotion recognition, this letter proposes a multi-source domain adaptation model that ...

How can the conceptual Land Administration Domain Model (LADM) be applied to different scenarios? The FIG book titled LADM in the Classroom provides examples, as well as guidance for using the book ...

Abstract: Domain adaptation (DA) models are widely used in the fault diagnosis of rotating machines under variable operating conditions, in which most of the existing models assume the same number of ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is more than one, this process becomes too complex ...

OpenRFT is an open-source project that aims to adapt generalist reasoning foundation models to domain-specific tasks through Reinforcement Fine-Tuning (RFT). By leveraging domain-specific samples, ...

We have noticed that sometimes, Windows fails to resolve the domain name when one tries to ping it or do nslookup. Sometimes, when trying to run the nslookup command, they encounter this; however, on ...

The study presents valuable findings where two-domain thermodynamic model for TetR accurately predicts in vivo phenotype changes brought about as a result of various mutations. The evidence provided ...

Understand the pitfalls of using enumeration types in the domain layer of your .NET applications and the advantages of using record types instead. When working on applications, you will often need to ...