Abstract: As a widely used method in signal processing, Principal Component Analysis (PCA) performs both the compression and the recovery of high dimensional data by leveraging the linear ...

Abstract: Robust tensor principal component analysis (RTPCA) based on tensor singular value decomposition (t-SVD) separates the low-rank component and the sparse component from the multiway data. For ...

For investors and traders aiming to make informed decisions, mastering advanced chart analysis techniques can be a game changer. These techniques go beyond basic price movements, helping you spot ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Nuclear imaging for industrial process analysis and non-destructive component testing has been around for longtime, but progression and innovation in this field has been limited and not as advanced ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

I am currently trying to follow the RBFE tutorials. Currently, there is no information in the tutorials on how to handle "additional intermediates" (e.g. the formamide intermediate in the ...

1 School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China 2 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China ...

Introduction: Potato chips are the primary product of the potato leisure food market. And the level of consumer preference is strongly influenced by their flavor. Methods: In this study, five potato ...

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...