Simultaneous localization and mapping (SLAM) is widely used in industrial automation, enabling autonomous robots and drones to navigate and operate in complex environments. In this study, we inve ... Read More

Online trading increasingly depends on the fusion of heterogeneous data sources to optimize logistics, forecasting, and decision-making. In this study, we developed a multisource sensing and AI-d ... Read More

An innovative sensor-based artificial intelligence system equipped with a twin delayed deep deterministic policy gradient (TD3++) algorithm and a multimodal IoT sensor network was developed to ad ... Read More

Wearable technology has become indispensable in modern sports training, enabling the real-time monitoring of biometric data and enhancing athlete performance through dynamic, data-driven feedback ... Read More

We developed a method for updating and constructing Chinese language teaching resources by integrating sensor technology and knowledge graphs. The method addresses the challenges of a mismatch be ... Read More

We optimized hot stamping process parameters for 2 mm boron steel (22MnB5) to enhance the mechanical properties and defect prevention of ultrahigh-strength steel components. Utilizing an orthogon ... Read More

We investigated the AI-related technological pedagogical content knowledge (AI-TPACK) of 232 primary and secondary school English teachers in China to understand the effects of AI integration int ... Read More

Ga2O3 has emerged as a promising material for deep-ultraviolet (DUV) photodetectors owing to its ultrawide bandgap, intrinsic solar-blind response, low dark current, and high breakdown electric f ... Read More

Traumatic impacts resulting from vehicular collisions, sports activities, occupational accidents, and falls frequently lead to severe injuries of the cranium, brain, and cervical spine, posing a ... Read More

Rapid advancements in high-definition CMOS and magnetic resonance transducers have led to the accumulation of complex medical imaging data that requires robust, real-time computational interpreta ... Read More

Conventional handwriting recognition systems often fail to capture complex hand-device interactions, such as grip force distribution and subtle posture changes, but remain susceptible to hand-tre ... Read More

The deployment of unmanned surface vehicles (USVs) for autonomous maritime operations requires robust target tracking based on multimodal marine sensing under stochastic ocean environments. Howev ... Read More

The increasing complexity of home appliances necessitates robust fault detection systems to ensure operational safety and reduce maintenance costs. Therefore, we developed an acoustic–vibration ... Read More

To address the digital transformation needs of heritage interpretation services in smart tourism, in this study, we developed and evaluated an IoT sensor-enabled heritage interpretation system in ... Read More