Abstract: Estimating the state of health (SOH) of lithium-ion batteries (LIBs) based on data-driven methods are widely used by extracting health feature (HF) from complete charging measurements.

Abstract: With previously unattainable performance metrics like terabit-per-second data rates, extremely low latency, and ubiquitous coverage, the next sixth-generation (6G) wireless communication ...

Abstract: Soft origami continuum robots show great potential compared with traditional rigid robots because of their hyper-redundant deformation. However, motion control of these robots remains ...

Abstract: Cross-linked polyethylene (XLPE) is a crucial insulating material for cables Partial discharge (PD) and electrical treeing are key parameters for characterizing the state of XLPE. Studies ...

Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...

Abstract: Dual-arm robots possess exceptional collaborative capabilities and versatility, demonstrating broad application prospects across various fields. As a significant research area for dual-arm ...

Abstract: EEG emotion recognition is crucial in both human-machine interaction and healthcare. However, recognizing emotions across different subjects remains challenging due to individual variability ...

Abstract: The effectiveness and efficiency of modeling complex spectral–spatial relations are crucial for hyperspectral image (HSI) classification. Most existing methods based on convolution neural ...

Abstract: This article presents a wearable soft robotic supporter with the function of changeable stiffness for supporting human upper limbs. We employ chain mails as the jamming media to achieve a ...

Abstract: Multi-modality fusion strategy is currently the de-facto most competitive solution for 3D perception tasks. In this work, we present a new framework termed BEVFormer, which learns unified ...

Abstract: Heterogeneous Graph Neural Networks (HGNNs) have attracted significant research attention in recent years due to their ability to capture complex interactions among various node types in ...

Abstract: Multimodal change detection (MCD) has garnered significant interest due to its capacity to address a variety of emergencies in a timely and effective manner. However, discrepancies in ...