Ontology alignment identifies semantic correspondences between concepts in separately developed ontologies. Recent Large Language Model (LLM)-based ontology alignment approaches adopt a retrieve-then-prompt pipeline, in which a sentence encoder first retrieves candidate correspondences from the target ontology, and the...
The microgrid energy management system coordinates the operations of multiple microgrid components. Deep reinforcement learning algorithms, such as the Soft Actor-Critic (SAC) algorithm, are well known for off-policy learning, maximum entropy, and high sample efficiency, and SAC is used as a control agent in MG-EMS. Ho...
Kyaw Maung Maung Thwin, R. Ichise· IEEE Access· 0 citations
The Implicit Trajectory-Constrained Diffusion network (ITCD) is proposed, which employs a two-stage diffusion architecture to mitigate the distribution shift caused by padding, thereby enabling better adaptation to realistic data and achieving more consistent imputations.
Noise-Aware Diffusion with Short-trajectory learning for consistent time series imputation (NASDiff) builds a noise-aware diffusion framework that explicitly models distinct noise sources and adopts a low-frequency-oriented diffusion process to decouple diffusion-added noise from intrinsic high-frequency component, the...
Siyuan Ma, Ziwei Xu, R. Ichise· IEEE Access· 0 citations
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