In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

We characterize production workloads of serverless DAGs at a major cloud provider. Our
analysis highlights two major factors that limit performance:(a) lack of efficient …

Digital twins have emerged as a key technology for optimizing the performance of
engineering products and systems. High-fidelity numerical simulations constitute the …

Eigenvector embeddings have been widely used to study graph properties in signal
processing, mining, and learning tasks. However, if a graph is changing dynamically, these …

Updating a truncated Singular Value Decomposition (SVD) is crucial in representation
learning, especially when dealing with large-scale data matrices that continuously evolve in …

Developing online educational platforms necessitates the incorporation of new intelligent
procedures in order to improve long-term student experience. Presently, e-learning …

In production applications of recommender systems, a continuous data flow is employed to
update models in real-time. Many recommender models often require complete retraining to …

This article proposes a new substructuring algorithm to approximate the algebraically
smallest eigenvalues and corresponding eigenvectors of a symmetric positive‐definite …

Multilinear singular value decomposition (MLSVD), also known as Higher-order SVD
(HOSVD), is a popular method for approximating a tensor of order≥ 3 via a smaller core …

Many applications (eg LSI and recommender systems) involve matrices that are subject to
the periodic addition of rows and/or columns. Unfortunately, the re-calculation of the SVD …