Results 111 to 120 of about 41,048,805 (281)

Gas explosion early warning method in coal mines by intelligent mining system and multivariate data analysis. [PDF]

PLoS One, 2023
Li H, Zhang Y, Yang W.
europepmc   +1 more source

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R [PDF]

Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing.
Tarn Duong
core  

Data for: Passive Intervertebral Motion Characteristics in Chronic Mid to Low Back Pain: a Multivariate Analysis

, 2020
Data for: Passive Intervertebral Motion Characteristics in Chronic Mid to Low Back Pain: a Multivariate ...
Brownhill, K (via Mendeley Data), Brownhill, Kevin   +1 more
core   +1 more source

Generative Artificial Intelligence Utilization and Perspectives Among Reproductive‐Age Women With Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, EarlyView.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

The Metabolic and Antioxidant Activity Profiles of Aged Greek Grape Marc Spirits

Foods
In the last decade, “expressions” of grape marc spirits aged in wooden barrels of characteristic amber color and complex sensory attributes have been introduced.
Charalambos Fotakis, Vasiliki Andreou, Dionysios C. Christodouleas, Maria Zervou   +3 more
doaj   +1 more source

Differentiation of Salivary Gland and Salivary Gland Tumor Tissue via Raman Imaging Combined with Multivariate Data Analysis. [PDF]

Diagnostics (Basel), 2023
Bassler MC, Knoblich M, Gerhard-Hartmann E, Mukherjee A, Youssef A, Hagen R, Haug L, Goncalves M, Scherzad A, Stöth M, Ostertag E, Steinke M, Brecht M, Hackenberg S, Meyer TJ.   +14 more
europepmc   +1 more source

Multivariate L1 Statistical Methods: The Package MNM [PDF]

In the paper we present an R package MNM dedicated to multivariate data analysis based on the L_1 norm. The analysis proceeds very much as does a traditional multivariate analysis. The regular L_2 norm is just replaced by different L_1 norms, observation
Klaus Nordhausen, Hannu Oja
core  

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Application of ATR-FTIR Incorporated with Multivariate Data Analysis for Discrimination and Quantification of Urea as an Adulterant in UHT Milk. [PDF]

Foods, 2023
Tan E, Binti Julmohammad N, Koh WY, Abdullah Sani MS, Rasti B.   +4 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source