Results 81 to 90 of about 365,375 (316)

Unsupervised feature selection based on generalized regression model with linear discriminant constraints

Complex & Intelligent Systems
Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis.
Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai   +6 more
doaj   +1 more source

Adaptive Dynamic Surface Control is designed for Twin Rotor unmanned helicopter in three-dimensional space [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2016
In this paper, the system control design problem twin rotors helicopters Unmanned Aerial Vehicles (UAV) in three dimensional space Without uncertainty based on the dynamic adaptive control is studied.
Amir Reza Moadeli, Khoshnam Shojaee, Afshin Etesami   +2 more
doaj  

Nonlinear Predictive Control Method for Maximizing Wind Energy Extraction of Variable Speed Wind Turbines under Turbulence

, 2021
Ahmed Aissaoui, Houari Khouidmi, Ahmed Benzouaoui, Boubaker Bessedik   +3 more
openalex   +2 more sources

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca, Patrick Villechaise, Malik Durand, Arnaud Longuet, Florent Coudon, Loïc Signor, Julien De Jaeger, Dominique Eyidi, Nathalie Bozzolo, Jonathan Cormier   +9 more
wiley   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Stochastic bifurcation phenomenon and multistable behaviors in a fractional Rayleigh–Duffing oscillator under recycling noise

Frontiers in Physics
This study examines the stochastic bifurcation phenomenon in a fractional and multistable Rayleigh–Duffing oscillator subjected to recycling noise excitation.
Ya-Jie Li, Zhi-Qiang Wu, Zhi-Qiang Wu, Yong-Tao Sun, Yong-Tao Sun, Xiang-Yun Zhang, Sheng-Li Chen   +6 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Leveraging network structure in nonlinear control. [PDF]

NPJ Syst Biol Appl, 2022
Rozum J, Albert R.
europepmc   +1 more source

Incremental adaptive fixed‐wing unmanned aerial vehicle maneuver control with nonlinear disturbance observer: A finite‐time approach [PDF]

, 2023
Su Cao, Xiangke Wang, Huangchao Yu
openalex   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source