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.
Book Abstract: * The first single volume resource for researchers in the field who previously had to depend on separate papers and conference records to attain a working knowledge of the subject.
Abstract: A hybrid energy harvesting scheme and system integrating radio frequency (RF) electromagnetic wave and solar energy based on optically transparent metasurface is proposed and constructed for ...
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: In this letter, a dual-band dual-circularly polarized (CP) antenna array based on the design and optimization of a parasitic pixel structure is presented. The proposed array can achieve ...
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: Identifying wildfire burned areas using satellite images is significant for effectively monitoring the status of forests. The full utilization of multi-source satellite images that provide ...
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: 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: Dual-arm robots possess exceptional collaborative capabilities and versatility, demonstrating broad application prospects across various fields. As a significant research area for dual-arm ...