Results 61 to 70 of about 27,772 (256)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Applied Sciences, 2023 Short-term wind forecasting is critical for the dispatch, controllability and stability of a power grid. As a challenging but indispensable work, short-term wind forecasting has attracted considerable attention from researchers.
Shi Liu, Guangchao Zhang
doaj +1 more source
Fast Randomized PCA for Sparse Data
CoRR, 2018 Principal component analysis (PCA) is widely used for dimension reduction and embedding of real data in social network analysis, information retrieval, and natural language processing, etc. In this work we propose a fast randomized PCA algorithm for processing large sparse data.
Xu Feng +4 more
openaire +4 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
doaj +1 more source
Advanced Science, EarlyView.NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
A Convex Sparse PCA for Feature Analysis
CoRR, 2014 Principal component analysis (PCA) has been widely applied to dimensionality reduction and data pre-processing for different applications in engineering, biology and social science. Classical PCA and its variants seek for linear projections of the original variables to obtain a low dimensional feature representation with maximal variance.
Xiaojun Chang +3 more
openaire +3 more sources
Advanced Science, EarlyView.Prostate cancer is immunologically ‘cold’, with scarce, dysfunctional type 1 conventional dendritic cells (cDC1s) that limit T cell priming. We introduce an aptamer‐targeted liposomedelivering FMS‐like tyrosine kinase 3 ligand (Flt3L) and chlorin e6 (Ce6). Ultrasound induces antigen release and cDC1s recruitment, creating an in situ cDC1 vaccine.
Jiayi Wang +8 more
wiley +1 more source
Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data
Frontiers in Oncology, 2020 Integrative, single-cell analyses may provide unprecedented insights into cellular and spatial diversity of the tumor microenvironment. The sparsity, noise, and high dimensionality of these data present unique challenges.
Lauren L. Hsu +3 more
doaj +1 more source
Low-rank and eigenface based sparse representation for face recognition. [PDF]
PLoS ONE, 2014 In this paper, based on low-rank representation and eigenface extraction, we present an improvement to the well known Sparse Representation based Classification (SRC).
Yi-Fu Hou +3 more
doaj +1 more source