Results 141 to 150 of about 41,048,805 (281)
Use of front face fluorescence spectroscopy coupled with multivariate data analysis for monitoring biscuits' quality during aging. [PDF]
Food Sci Nutr, 2022 Ghnimi H +4 more
europepmc +1 more source
Data Ellipses, HE Plots and Reduced-Rank Displays for Multivariate Linear Models: SAS Software and Examples [PDF]
This paper describes graphical methods for multiple-response data within the framework of the multivariate linear model (MLM), aimed at understanding what is being tested in a multivariate test, and how factor/predictor effects are expressed across ...
Michael Friendly
core
A Latent Variable Approach to Multivariate Quantitative Trait Loci [PDF]
, 2010 A novel approach based on latent variable modelling is presented for the analysis of multivariate quantitative and qualitative trait loci. The approach is general in the sense that it enables the joint analysis of many kinds of quantitative and ...
Päivi Komulainen +3 more
core
Advanced Materials Technologies, EarlyView.A THz metasurface device integrating a metal–dielectric–metal resonator with microwall‐defined recessed regions enables spatially guided, label‐free sensing of micrometer‐scale plastic particles. The as‐fabricated devices exhibit distinct THz reflection resonances for 3.1‐µm polystyrene particles and a concentration‐dependent resonance‐frequency‐shift ...
Naoki Inomata +2 more
wiley +1 more source
Exploring the Mystery of the Sweetness of Baijiu by Sensory Evaluation, Compositional Analysis and Multivariate Data Analysis. [PDF]
Foods, 2021 Sun Y, Ma Y, Chen S, Xu Y, Tang K.
europepmc +1 more source
Automated learning of t factor analysis models with complete and incomplete data
, 2018 The t factor analysis (tFA) model is a promising tool for robust reduction of high-dimensional data in the presence of heavy-tailed noises. When determining the number of factors of the tFA model, a two-stage procedure is commonly performed in which ...
林宗儀 +3 more
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Detection of syrup adulterants in manuka and jarrah honey using HPTLC-multivariate data analysis. [PDF]
PeerJ, 2021 Islam MK +4 more
europepmc +1 more source
Journal of Multivariate Analysis
, 1977 Texto completo. Acesso restrito. p. 397–408A problem of J. Neyman (in Classical and Contagious Discrete Distributions (G. P. Pat& Ed.), 1965, pp. 4-14) regarding a characterization of positive and negative multinomial distributions is studied in this ...
Ghosh, J.K. +2 more
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source