The biennial KNX Awards, for example, include special awards for sustainability that recognise projects using KNX technology to significantly reduce energy consumption and costs in homes and buildings ...
Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
Abstract: Deep learning-based soft sensor modeling methods have been extensively studied and applied to industrial processes in the last decade. However, existing soft sensor models mainly focus on ...
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
This repository includes the codes for the VLDB 2024 paper RoarGraph. This code builds upon the NSG repo and incorporates other open-source implementations. The main branch is the codebase of the ...
This repository is the official implementation of KANO, which is model proposed in a paper: Knowledge graph-enhanced molecular contrastive learning with functional prompt. Firstly, we construct a ...
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