Results 61 to 70 of about 13,553,800 (229)
The importance of selecting the optimal number of principal components for fault detection using principal component analysis [PDF]
, 2012 Includes summary.Includes bibliographical references.Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization.
Khwambala, Patricia Helen
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Two Dimensional Principal Component Analysis for Online Tamil Character Recognition
, 2008 This paper presents a new application of two dimensional Principal Component Analysis (2DPCA) to the problem of online character recognition in Tamil Script.
Ramakrishnan, AG, Sundaram, Suresh
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Advanced Science, EarlyView.Mice can transfer the learned rule of spatial working memory to guide similar but novel tasks. Hippocampal CA3 populational activity dynamically reorganize during memory generalization, shifting from task‐specific to generalized coding over testing days. Sparse yet redundant neural representations of CA3 enable rule transfer and cognitive map formation,
Da Song +8 more
wiley +1 more source
Geological Inverse Problem‐Solving Method Based on Diffusion Models
Water Resources ResearchTraditional geological parameter inversion methods often require repeated forward simulations for history matching, leading to high computational cost and limited inversion efficiency.
Kai Zhang +8 more
doaj +1 more source
Sparse Principal Component Analysis
, 2004 Principal component analysis (PCA) is widely used in data processing and dimensionality reduction. However, PCA su#ers from the fact that each principal component is a linear combination of all the original variables, thus it is often di#cult to ...
Hui Zou +3 more
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Sparse Principal Component Analysis with Constraints
, 2021 The sparse principal component analysis is a variant of the classical principal component analysis, which finds linear combinations of a small number of features that maximize variance across data.
Dance, Christopher +2 more
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A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance
Advanced Science, EarlyView.Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng +12 more
wiley +1 more source
Fusing General and Domain-Specific Transformers for Fine-Grained Emotion Detection
IET SoftwareThe proliferation of user-generated content has transitioned affective computing toward fine-grained emotion recognition. Standard pretrained transformers encounter representational bottlenecks when processing the informal and implicit language ...
Binh Vu +3 more
doaj +1 more source
Advanced Science, EarlyView.FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
Robust Visual Tracking Via Online Low-rank Sparse Representation
工程科学与技术, 2017 :The gray value features of images were used to describe targets in robust visual tracking via L1 minimization (L1 tracking algorithm).However,the ignorance of structural information between the templates and inaccurate modeling of target appearance ...
孔繁锵 +4 more
doaj