To enhance the performance of non-orthogonal multiple access (NOMA)-assisted integrated
sensing and communication (ISAC) systems in multi-user distributed scenarios, an …

Error prediction and compensation are crucial requirements for improving robot accuracy.
To this end, this paper introduces an advanced online method that integrates error-motion …

Abstract Machine learning society has witnessed the emergence of a myriad of Out-of-Distribution
(OoD) algorithms, which address the distribution shift between the training and the …

Due to their inherent characteristics, robots inevitably suffer from pose errors, and accurate
prediction is the key to error compensation, which facilitates the application of robots in high-…

While industrial robots are widely used in various fields owing to their large workspace and
high flexibility, significant errors constrain their application in high-precision scenarios. …

Robots are widely employed in industrial settings owing to their efficiency, flexibility, and
extensive operational ranges. However, their application in high-precision scenarios is limited …

In recent years, robotic machining has become one of the most important paradigms for the
machining of large and complex parts due to the advantages of large workspaces and …

Nosema bombycis is a representative species of Microsporidia, and is the pathogen that
causes pebrine disease in silkworms. In the process of infection, the polar tube of N. bombycis …

The infection of Bombyx mori nucleopolyhedrovirus (BmNPV) is one of the main causes of
economic losses in sericulture. Thus, it is essential to establish rapid and effective method for …

Based on the characteristics of phase change concentrated heat, this article proposes a
photovoltaic/phase change/thermoelectric (PV-PCM-TE) self-supply system with sidewall …