Compared with optimization algorithm and machine learning, neural network has better observation ability in processing high-dimensional data features. Therefore, a non-intrusive load identification ...

The research content mainly focused on α-Syn, synaptic plasticity, and mouse model ... Large-scale data analysis: bibliometrics can process massive literature data and reveal hidden patterns and ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

The new model is also powerful enough to predict an individual's glycemic responses based on demographic data, without customized training on food logs or other personalized data. As a result ...

Just a few weeks after OpenAI said it would adopt rival Anthropic’s standard for connecting AI models to the systems where data resides ... for Anthropic’s Model Context Protocol, or MCP ...

The AI model in the cement building materials industry leverages extensive cement industry data and industry expertise ... targets and automatically adjusts the optimal operational plan based on ...

Nonetheless, it often overlooks the issue of data heterogeneity across sites. We propose a Federated Graph Learning-based Cross-Network Layer Feature Alignment (FGLFA) model for MDD identification.