Reliable modeling of non-stationary multivariate time series, particularly those arising in industrial monitoring, requires capturing the dynamics that govern sequential observations. Existing CNN- and Transformer-based classifiers often rely on stationary discriminative patterns and therefore do not explicitly represe...
This paper presents an adaptive hybrid event-triggered switched formation control strategy for the multi-vehicle systems containing autonomous vehicles (AVs) to address uncertainties in both longitudinal and lateral dynamics. The proposed framework enables safe and efficient maneuvering of AV formations in complex traf...
Zi-Ming Wang, Shiyuan Piao, Xin Wang et al.· IEEE Systems, Man, and Cyber...· 0 citations
Inspired by diagnostic practice synergizing numerical assessment, visual inspection and clinical context, MedTVL is introduced, a text-guided dual-pathway architecture tailored for MedTS classification that synergizes a convolution-based temporal pathway for fine-grained temporal dynamics from raw numerical sequences a...
Jiexia Ye, Jia Li, F. Tsung· Proceedings of the 32nd ACM...· 0 citations
Accurate short-term wind power forecasting is essential for grid stability and operational planning, yet remains challenging due to the complex interactions between atmospheric conditions and turbine dynamics. However, existing methods fail to effectively incorporate weather forecasting with wind turbine data (i.e., SC...
Shiyuan Piao, Zehui Fan, Yang Liu et al.· Proceedings of the 32nd ACM...· 0 citations
Experiments on LoCoMo and LongMemEval show that MemoryCPT improves the cost-performance trade-off over the evaluated baselines, while ablation and sensitivity analyses characterize the contributions of its components and the effects of key design choices.
Songxin Lei, Kun Ouyang, Wei-Lin Ruan et al.· 1 citation· ⚡1
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