Formulation of logic rule explanations
For given input x from the dataset X, our explanation α = (αx, αw) comprises two components: an antecedent αx and a linear weight αw. The antecedent αx and a consequent y together form a logic rule αx

For given input x from the dataset X, our explanation α = (αx, αw) comprises two components: an antecedent αx and a linear weight αw. The antecedent αx and a consequent y together form a logic rule αx

Integrating heterogeneous information from multiple systems and delivering the necessary data to key stakeholders along the phases are essential for efficient building management. Integrating the latest building data with the 3D model improves…

Elo-rating (ER) algorithm8 was initially used to evaluate the level of athletic activities, with the continuous expansion of the application surface, ER algorithm is gradually applied to the field of defect detection, through a large number of…

In this section, we specifically describe the proposed Graph Neural Network-based recommendation algorithm (GR-MC), which incorporates multi-scale attention and contrastive learning, and explain how it addresses several key issues in existing…

This study conducted an alcohol intervention experiment to measure and analyze physiological, cognitive, and emotional changes following alcohol consumption using Synchro-thermography. The main purpose of this experiment is to verify the concept…

This section explains the context of the problem, specific features and data availability. The image-based methodologies explain the importance in Carotid Intima Media Thickness (CIMT) diagnosis. With the use of structured data in CSV format that…

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Qian, J. et al. Digital Twin for Chemical Science: a case study on water interactions…

This section details the methodology followed in the implementation and evaluation of the proposed framework. The framework involves Enabler agents and Decision Maker agents collaborating across multiple Levels in a tree-like Scenario structure….

In this section, we present our experimental results. Since general-purpose quantum computers are not yet widely available, all experiments are performed on classical computers. The entire variational quantum circuits are implemented using the…