Results 161 to 170 of about 517,907 (286)

A bi-directional cross-channel RNN model for time-series forecasting of dairy production. [PDF]

Sci Rep
Naghashi V, Boukadoum M, Diallo AB.
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Simulation‐Based Assessment of Second‐Order Residual Stress Fields on the Fatigue Performance of Silicon‐Strengthened Ferritic Ductile Irons

Advanced Engineering Materials, EarlyView.
This work presents a simulation‐based framework based on representative volume elements (RVEs) that explicitly incorporates process‐induced second‐order residual stresses into the fatigue strength assessment of ductile cast iron (DCI). For the first time, this approach enables a direct evaluation of the influence of second‐order residual stress fields ...
Lutz Horbach, Xuemei Lyu, Jiali Zhang, Felix Weber, Christoph Broeckmann   +4 more
wiley   +1 more source

STF-DKANMixer: Tri-component decomposition with KAN-MLP hybrid architecture for time series forecasting. [PDF]

PLoS One
Wei J, Guo R, Wang Y.
europepmc   +1 more source

Deconfounding Time Series Forecasting

Time series forecasting is a critical task in various domains, where accurate predictions can drive informed decision-making. Traditional forecasting methods often rely on current observations of variables to predict future outcomes, typically overlooking the influence of latent confounders, unobserved variables that simultaneously affect both the ...
Gao, Wentao, Yang, Feiyu, Hong, Mengze, Du, Xiaojing, Hu, Zechen, Chen, Xiongren, Xu, Ziqi   +6 more
openaire   +1 more source

Piezoresistive Monitoring of Carbon Nanomaterial‐Reinforced Epoxy Composites Under Cyclic and Fatigue Loading: A Review

Advanced Engineering Materials, EarlyView.
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente, J. Nunes‐Pereira, A. P. Silva, P. N. B. Reis   +3 more
wiley   +1 more source

Conditional noise generative adversarial networks with Siamese neural network for longer time series forecasting. [PDF]

Sci Rep
Mao H, Feng X.
europepmc   +1 more source

Electrical Conductivities of Conductors, Semiconductors, and Their Mixtures at Elevated Temperatures

Advanced Engineering Materials, EarlyView.
This article presents a comprehensive review of temperature‐dependent electrical conductivity data for multiple material classes at elevated temperatures, highlighting a persistent conductivity gap between metals and semiconductors in the range of 102$\left(10\right)^{2}$– 107$\left(10\right)^{7}$ S/m. Metal–ceramic irregular metamaterials are proposed
Valentina Torres Nieto, Marcia A. Cooper
wiley   +1 more source

MoEKAN: Multi-Scale Transformer-Based Gating KAN Experts Network for Time Series Forecasting. [PDF]

Sensors (Basel)
Kim D, Kang J, Hwang H, Kim H.
europepmc   +1 more source