Results 91 to 100 of about 3,334 (209)
Integrated location–inventory planning for slow‐moving demands with waiting time limitations
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu +4 more
wiley +1 more source
U.S.‐China Tensions and Macroeconomic Fluctuations
ABSTRACT Business cycles and macroeconomic fluctuations are influenced by various factors. This paper analyzes the impact of the U.S.‐China Tension Index (UCT) on macroeconomic fluctuations in 32 countries using time series models from January 1999 to February 2024. The VAR model reveals that UCT shocks generate financial volatility and fluctuations in
Luccas Assis Attílio
wiley +1 more source
Estimating the first and second derivatives of discrete audio data
A new method for estimating the first and second derivatives of discrete audio signals intended to achieve higher computational precision in analyzing the performance and characteristics of digital audio systems is presented.
Marcin Lewandowski
doaj +1 more source
The outcomes reveal that Responsible Consumption and Production (RCP) positively affect Climate Action in the BRICS plus countries. Climate Action has a positive correlation with RCP. Climate Action positively affects RCP in the BRICS plus countries across various performance quantiles.
Seyed Alireza Athari +2 more
wiley +1 more source
On a Modeling for a Class of Nonstationary Nonlinear Systems
SUNAHARA, Yoshihumi +2 more
openaire +2 more sources
Exploring the Time–Frequency Quantile Nexus Between SDG 9 and SDG 10 in Latin American Countries
This study examines the dynamic nexus between SDG 9 (Industry, Innovation, and Infrastructure) and SDG 10 (Reduced Inequalities) across Latin America using quarterly data and wavelet quantile techniques. Findings reveal a strong bidirectional relationship across different quantiles and time horizons, intensifying during economic reforms and policy ...
Seyed Alireza Athari +3 more
wiley +1 more source
Trusting Machine Learning With Physics: A Fidelity Verification Framework for Complex Systems
Abstract Neural networks (NN) are embraced to model complex systems based only on data, but their opacity remains a concern. It is unclear whether skill comes from learning physical dependencies or data memorization, which could lead to catastrophic errors.
Sanah Suri, Maike Sonnewald
wiley +1 more source
Online Nonlinear Bagging Using a Neuro-Neo-Fuzzy Approach for Data Stream Mining
This paper investigates bagging ensemble models and methods that enable the online aggregation of results from individual ensemble members. The primary objective is to design a computationally efficient metamodel capable of real-time parameter ...
Валерій Залужний +2 more
doaj +1 more source
PARAMETER IDENTIFICATION FOR NONSTATIONARY NONLINEAR SYSTEMS
In this paper, a method is presented for modelling a class of nonlinear systems which involves time-varying parameters. The system model proposed here is a type of nonlinear difference equation, where unknown parameters are assumed to be linearly involved in the system model.
openaire +1 more source
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo +8 more
wiley +1 more source

