Multi-Scale Fuzzy Feature Selection Method Applied to Wood Singularity Identification

International Journal of Computational Intelligence Systems - United Kingdom
doi 10.2991/ijcis.2018.25905185
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Atlantis Press

Related search

Feature Selection Methods Applied to Severe Brain Damages Data

2017English

Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2003English

Targeted Feedback Collection Applied to Multi-Criteria Source Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2017English

Multi-Subject Brain Decoding With Multi-Task Feature Selection

Bio-Medical Materials and Engineering
MedicineBiomaterialsBiomedical Engineering
2014English

Picture Fuzzy Multi-Criteria Group Decision-Making Method to Hotel Building Energy Efficiency Retrofit Project Selection

RAIRO - Operations Research
Management ScienceComputer Science ApplicationsOperations ResearchTheoretical Computer Science
2020English

The Singularity Expansion Method Applied to the Transient Motions of a Floating Elastic Plate

ESAIM: Mathematical Modelling and Numerical Analysis
Numerical AnalysisApplied MathematicsAnalysisSimulationModelingComputational Mathematics
2007English

A Method for Extracting Multi-Scale Stay Feature of Trajectory Based on OPTICS

Abstracts of the ICA
2019English

Structured Multi-Level Feature Interaction Identification

1997English

Study on Feature Selection and Identification Method of Tool Wear States Based on SVM

International Journal on Smart Sensing and Intelligent Systems
ControlSystems EngineeringElectricalElectronic Engineering
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy