Results 41 to 50 of about 303 (161)

Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
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, Ren Cao, Zhongxue Gan, Siyang Leng   +3 more
wiley   +1 more source

Uncertainty evaluation of surface profile measurement error based on adaptive sparse grid polynomial chaos expansion

Advances in Mechanical Engineering
To address the challenge of balancing accuracy and computational efficiency in evaluating the measurement error and uncertainty of surface profile errors on complex free-form surfaces, this paper proposes an evaluation method combining adaptive sparse ...
Ke Zhang, Xinya Zheng, Ruiyu Zhang
doaj   +1 more source

Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces

Engineering Applications of Computational Fluid Mechanics
In this paper, a multi-objective optimization strategy for efficient design of turbomachinery blades using sparse active subspaces is implemented for a turbofan stage design.
Richard Amankwa Adjei, Chengwei Fan
doaj   +1 more source

Probabilistic-Interval Energy Flow Analysis of Regional Integrated Electricity and Gas System Considering Multiple Uncertainties and Correlations

IEEE Access, 2019
This paper studies the uncertainty analysis of the regional integrated electricity and gas system (IEGS) composed of a three-phase unbalanced power distribution system and a gas distribution network.
Xiaoyun Hu, Xia Zhao, Xinxin Feng
doaj   +1 more source

Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media [PDF]

Hydrology and Earth System Sciences, 2018
Fluid flow in a charged porous medium generates electric potentials called streaming potential (SP). The SP signal is related to both hydraulic and electrical properties of the soil.
A. Younes, A. Younes, A. Younes, J. Zaouali, F. Lehmann, M. Fahs   +5 more
doaj   +1 more source

Embracing Complexity in HRM Research: A Call for System and Process Perspectives

Human Resource Management, Volume 65, Issue 4, Page 995-1013, July/August 2026.
ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley   +1 more source

Global Sensitivity Analysis of Societal Resilience Using Shapley Values and Polynomial Chaos Expansion

Risk Analysis, Volume 46, Issue 7, July 2026.
ABSTRACT Societies worldwide face increasingly complex and interconnected crises that challenge their capacity for resilience. Assessing which structural indicators are most strongly associated with resilience scores requires quantitative methods capable of handling interdependencies, nonlinearities, and limited sample sizes.
Elias Montanari, Ioannis Galariotis, Andrea Cappannini, Thierry Mara, Christine Redecker   +4 more
wiley   +1 more source

Sparse Approximation of Data-Driven Polynomial Chaos Expansions: An Induced Sampling Approach

Communications in Mathematical Research, 2020
One of the open problems in the field of forward uncertainty quantification (UQ) is the ability to form accurate assessments of uncertainty having only incomplete information about the distribution of random inputs. Another challenge is to efficiently make use of limited training data for UQ predictions of complex engineering problems, particularly ...
Ling Guo, Akil Narayan 0001, Yongle Liu, Tao Zhou 0010   +3 more
openaire   +2 more sources

Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim, Yuting Wu, Finn Moore, Mingtao Hu, Xiaoyu Zhang, Sangmin Yoo, Eric Yeu‐Jer Lee, Hao Shen, Yichun He, Jia Liu, Wei D. Lu   +10 more
wiley   +1 more source

Efficient Deconvolution in Populational Inverse Problems

International Journal for Numerical Methods in Engineering, Volume 127, Issue 9, 15 May 2026.
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur, Mark Girolami, Andrew M. Stuart   +2 more
wiley   +1 more source