Chengbao Liu

TL;DR: A novel grouping scheme based on distributed time-series clustering based on an effective "cloud-edge" mode and utilizes an innovative two-stage trick to achieve parallel processing, which split the original centralized clustering approach into local clustering and global merging.

TL;DR: A data-driven decision-making optimization approach (DDDMO) for inconsistent lithium-ion cell screening, which takes into account three dynamic characteristic curves of cells, thus ensuring that the screened cells have consistent electrochemical characteristics.

TL;DR: This work introduces the challenging problem of domain generalization, i.e., learning from multiple source domains to produce a model that can directly generalize to unseen domains without target information, and adopts a model-agnostic learning produce that maximizes the dot product of gradients between the source domains.

TL;DR: In this article , a cross-domain few-shot learning (FSL) approach for lithium-ion battery defect classification using an improved siamese network (BSR-SNet) is proposed.