Results 131 to 140 of about 6,896,512 (318)

Averaged root mean square error in synergy tasks (mean ± SE).

open access: yes, 2019
Root mean square error (RMSE) by task-instructed finger(s) as a function of task-required force levels are plotted for IMRL synergy task (top panel) and I+M+R+L synergy task (bottom panel) respectively.
Elias Youssef (8138301)   +4 more
core   +1 more source

root mean squared error of prediction

open access: yes
Citation: 'root mean squared error of prediction' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10110 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
openaire   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Optimization method for variable fractional delay filters based on gradient descent

open access: yesTongxin xuebao
In order to address the requirements for low distortion transmission of variable fractional delay filters, an optimization method based on gradient descent and root mean square propagation was proposed.
ZHUANG Ling, HAO Hanjie
doaj  

A Multi-Resolution Approach Based on the Integration of a Nonlinear Physical Model and Long Short-Term Memory Network for Photovoltaic Power Modeling and Forecasting

open access: yesJournal of Sustainable Development of Energy, Water and Environment Systems
In the current context of energy transition, accurately forecasting solar power production is a major challenge for the efficient operation of electricity grids that include renewable energy sources.
Kpatchaa Tombana Baba, Eyouléky Palanga
doaj   +1 more source

Enhancing Physical Education: A Dynamic Fuzzy Neural Network-Based Information Processing System Design

open access: yesIEEE Access
With the advent of digital intelligent education, educational resources are expanding. In the realm of physical education, data encompassing students’ physical fitness test results, sports performance, and health status stand as pivotal pillars ...
Qingchao Zhang, Osama Sohaib
doaj   +1 more source

Breaking trend panel unit root tests [PDF]

open access: yes
This paper proposes Lagrange Multiplier based panel unit root tests allowing for structural breaks through simple extensions of existing group mean and combination tests. The proposed tests are more general than those previously suggested.
Pui Sun Tam, University of Macau
core  

Root mean square error (RMSE) (cm) of perimeter estimation from terrestrial SfM photogrammetry.

open access: yes, 2020
Root mean square error (RMSE) (cm) of perimeter estimation from terrestrial SfM photogrammetry.
Michal Bošela (8555835)   +5 more
core   +1 more source

root mean squared error of calibration

open access: yes
Citation: 'root mean squared error of calibration' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10157 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan   +4 more
wiley   +1 more source

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