Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...

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Abstract: In this article, we develop an online method called IncTSVD to incrementally compute the tensor singular value decomposition (TSVD) of a given sequence of third-order tensors based on the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Transient thermal expansion cracking agent is a novel and high-performance material, ...

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What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

We propose adding a new parameter-efficient fine-tuning method based on adaptive singular value decomposition (SVD) for continual learning in LLMs. The core idea is to decompose weight matrices into ...

nitrobenzoic acid substances; differential scanning calorimetry; thermal risk; safe storage; density functional theory The raw materials required for synthesizing PNBA include 4-nitrotoluene (CAS No.