Results 191 to 200 of about 234,460 (307)
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Medical irregular multivariate time series forecasting based on multi-scale temporal-frequency domain patch fusion and dynamic graph. [PDF]
Liu X, Gong T, Li Y, Li N, Ding S.
europepmc +1 more source
Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer +6 more
wiley +1 more source
An Outlier Suppression and Adversarial Learning Model for Anomaly Detection in Multivariate Time Series. [PDF]
Zhang W, Li T, He P, Yang Y, Wang S.
europepmc +1 more source
ABSTRACT Despite significant progress in chronic GVHD therapies, challenges remain in understanding pleomorphic phenotypes and varying responses to treatment. The aim of this study was to identify predictors of treatment response. We conducted a prospective, observational cohort study of patients beginning first‐, second‐, or third‐line systemic ...
Betty K. Hamilton +11 more
wiley +1 more source
A multivariate time series prediction model based on the KAN network. [PDF]
Long Y, Qin X.
europepmc +1 more source
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga +36 more
wiley +1 more source
Improving Multivariate Time-Series Anomaly Detection in Industrial Sensor Networks Using Entropy-Based Feature Aggregation. [PDF]
Wang B.
europepmc +1 more source
VCformer: Variable-Centric Multi-Scale Transformer for Multivariate Time Series Forecasting. [PDF]
Zhu J +6 more
europepmc +1 more source
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
wiley +1 more source

