Results 171 to 180 of about 1,758,719 (322)

Online Tracking of Maneuvering Target Trajectory Based on Chaotic Time Series Prediction. [PDF]

Entropy (Basel), 2022
Wei Q, Su P, Zhou L, Shi W.
europepmc   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Functional time series prediction via conditional mode estimation [PDF]

, 2005
Frédéric Ferraty, Ali Laksaci, Philippe Vieu   +2 more
openalex   +1 more source

Geometric algebra based recurrent neural network for multi-dimensional time-series prediction. [PDF]

Front Comput Neurosci, 2022
Li Y, Wang Y, Wang Y, Qian C, Wang R.
europepmc   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

Advanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu, Dustin Roman Jantos, Philipp Junker   +2 more
wiley   +1 more source

A STUDY ON PREDICTION CONTROL OF LATENT/SENSIBLE HEATING STORAGE SYSTEM CONSIDERING SET^* CHANGE OF TIME SERIES : Part 2 Prediction control of required thermal energy considering optimum temperature range of SET^*

, 2002
Rie MIZUNO, Yoshiharu ASANO
openalex   +2 more sources

MBLSTM is a contextual interaction refined method for time series prediction. [PDF]

Sci Rep
Qiu W, Zhu F, Hao T, Wang M, Huang R.
europepmc   +1 more source

Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction. [PDF]

Nonlinear Dyn, 2023
Wang L, Li N, Xie M, Wu L.
europepmc   +1 more source

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

Advanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek, Eduard Ortlieb, Caner‐Veli Ince, Julius Peddinghaus, Hendrik Wester, Johanna Uhe, Annika Raatz, Kai Brunotte   +7 more
wiley   +1 more source

Fast bootstrap applied to LS-SVM for long term prediction of time series [PDF]

, 2005
Amaury Lendasse, Vincent Wertz, Gyula Simon, Michel Verleysen   +3 more
openalex   +1 more source