Results 81 to 90 of about 3,229 (278)

Identifying and Removing Outlier Features Using Neighborhood Rough Set

, 2019
The neighborhood rough set (NRS) is used to remove redundant features after identifying neighborhood relation among samples of features. In this study, a new NRS is proposed to determine and remove outlier features.
Goh, Pey Yun, Pey Yun Goh, Shing Chiang Tan, Tan, Shing Chiang   +3 more
core   +1 more source

Near open generalizations of rough sets and their applications

Beni-Suef University Journal of Basic and Applied Sciences
Background The concept of near open sets is a potent tool that empowers researchers to achieve a more encompassing approximation of rough sets, thereby enhancing the accuracy of measurements.
A. S. Salama, A. A. El Atik, A. M. Hussein, O. A. Embaby, M. S. Bondok   +4 more
doaj   +1 more source

Electrochemical Evaluation of Compressed Selective Laser Melted AlSi7Mg and AlSi10Mg Alloys in Chloride Environment

Advanced Engineering Materials, EarlyView.
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin, Samson Dare Oguntuyi, Peter Apata Olubambi   +2 more
wiley   +1 more source

Normalized Cheeger Cut With Neighborhood Rough Approximation

IEEE Access, 2018
A graph-based collecting study recently attracted significant attention from the scientific research community. Normalized Cheeger cut is a balanced graph partition criterion and a generalized version of normalized graph cut.
Lin Li, Jianhua Yue
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Self-organizing Map Method Based on Real Rough Sets Space and Its Application of Pattern Recognition

, 2006
This paper presents a real rough sets space and corresponding concepts of real lower and upper approximation sets which correspond to the realvalued attributes. Therefore, the real rough sets space can be investigated directly. A rhombus neighborhood for
HU, Shou-song, Di XIAO, Shou-song HU, XIAO, Di   +3 more
core   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies [PDF]

This paper focuses on the problem of applying rough set theory to mass appraisal. This methodology was first introduced by a Polish mathematician, and has been applied recently as an automated valuation methodology by the author.
Maurizio d’Amato
core  

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

Advanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source