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Fairness is an important topic for medical image analysis, driven by the challenge of unbalanced training data among diverse target groups and the societal demand for equitable medical quality. In response to this issue, our research adopts a data-...

Semantic image synthesis (SIS) shows good promises for sensor simulation. However, current best practices in this field, based on GANs, have not yet reached the desired level of quality. As latent diffusion models make significant strides in image ...

In this paper, we study multi-target domain adaptation of scene understanding models. While previous methods achieved commendable results through inter-domain consistency losses, they often assumed unrealistic simultaneous access to images from ...

Research evidence has emphasized the potential of questioning-based dilemmas and has contextualized role-play simulation to foster students' artificial intelligence (AI) ethics. Therefore, this study combined the viewpoints to design a ...

• An AR-based contextualized dilemma discussion approach is proposed for promoting students' AI ethics.
• The proposed approach was evaluated using quasi-experiment and lag sequential analyses.
• The proposed approach improved students' ...

Brain-computer interfaces (BCIs), transform neural signals in the brain into instructions to control external devices. However, obtaining sufficient training data is difficult as well as limited. With the advent of advanced machine learning ...

The purpose of this study is to focus on patients with chronic kidney disease mainly. Through technological services and education, the LINE APP platform is used to build a chatbot for intervention so that patients with kidney disease can use the ...

Cyberbullying has become a global problem that victimizes social media users and threatens freedom of speech. Charged language against victims undermines the sharing of opinion in the absence of online oversight. Aggressive cyberbullies routinely ...

In order to improve the quality of remanufacturing assembly with uncertainty for the sustainability of remanufacturing industry, an error propagation model of the remanufacturing assembly process and its optimal control method are established. First, the ...

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Wind is a variable energy source. The power output of a wind turbine generator (WTG) unit, therefore, fluctuates with wind speed variations. Accurate models reflecting the variability of wind speed is hence required in both reliability evaluation of ...

Finding an image object-modeling paradigm that is robust, flexible, and highly adaptive is essential for content-based image retrieval and object recognition. We model the image objects by attributed feature-relational graphs (AFRG), in which the nodes ...