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Interval Principal Component Analysis of Non-probabilistic Convex Model
The non-probabilistic convex model describes uncertainty of parameters in the form of a bounded set rather than the probability distribution and is...
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A Trace-Based Design Approach to Fused Deposition Modeling Laminated Structure for Weight Optimization and Stress Concentration Factor
Fused deposition modeling (FDM) is a very unique material addition process that creates multilayer and complex 3D component at various orientations....
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Workpiece classification based on transfer component analysis
Classification algorithm is the crucial technique for machine vision system. The Transfer Component Analysis has been introduced for workpiece...
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Time-varying stiffness analysis of double-row tapered roller bearing based on the map** structure of bearing stiffness matrix
Time-varying stiffness is one of the most important dynamic characteristics of rolling element bearings. The method of analyzing the elements in the...
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Principal Lines on Shells: Which Are More Meaningful?
Several families of lines can be generated on a curved surface by plotting different properties. These lines can be classified as either geometrical,...
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Road Condition Monitoring Utilizing UAV Photogrammetry Aligned to Principal Curve of Mine Haul Truck Path
Mine haul roads degrade rapidly due to extreme loads on sub-optimal construction materials. Unmanned aerial vehicles (UAV) are suited to quantify...
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Trace formulation for photonic inverse design with incoherent sources
Spatially incoherent light sources, such as spontaneously emitting atoms, naively require Maxwell’s equations to be solved many times to obtain the...
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Independent Component Analysis for Spectral Unmixing of Raman Microscopic Images of Single Human Cells
Application of independent component analysis (ICA) as an unmixing and image clustering technique for high spatial resolution Raman map is reported....
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A Hybrid Model Integrating Principal Component Analysis, Fuzzy C-Means, and Gaussian Process Regression for Dam Deformation Prediction
Dam behavior prediction model is a fundamental component of dam structural health monitoring systems. As the most intuitive monitoring indicators,...
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Multivariate Analysis
Often many hydroclimatic variables are associated with each other and such associations are complex. Many a times several hydroclimatic variables are...
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Localisation of Ultrasonic NDT Data Using Hybrid Tracking of Component and Probe
Knowledge about the location of a defect is essential for damage assessment. In terms of a digitalised maintenance, inspection data is combined with...
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Methodology for Estimating the Safety and Quality of the Aviation Service Provider Activities Using the Principal Component Analysis
AbstractThe paper considers the issues of processing the results of observations and audits of safety and quality by the example of an aircraft...
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Power Consumption Attack Based on Improved Principal Component Analysis
Accompanied with the status quo and problems that the low efficiency in the traditional methods of principal component analysis (PCA) when we face...
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Algorithm for Analysis of Magnetocardiac Signals: The Principal Component Method
AbstractA new algorithm for processing and analyzing magnetocardiac signals, based upon principal component analysis, is proposed and implemented in...
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Effects of Trace Elements Supplementation on Methane Enhancement and Microbial Community Dynamics in Mesophilic Anaerobic Digestion of Food Waste
Batch anaerobic digestion (AD) using food waste (FW) as a substrate with mono trace element (TE) supplementation of Fe, Co, and Ni was simultaneously...
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Automated ECG Signals Analysis for Cardiac Abnormality Detection and Classification
The electrocardiogram (ECG) is a critical, non-invasive tool for diagnosing cardiovascular diseases, offering insights into heart function. However,...
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Levelling Calibration and Intelligent Real-Time Monitoring of the Assembly Process of a DfD-Based Prefabricated Structure Using a Motion Capture System
Conventional measuring techniques and equipment such as the level and total-station are commonly used in on-site construction to measure the position...
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Residual stress classification of pulsed DC reactive sputtered aluminum nitride film via large-scale data analysis of optical emission spectroscopy
The amount of residual stress generated during the growth process of aluminum nitride (AlN) thin films prepared by pulsed DC reactive magnetron...
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Probabilistic fault displacement hazard analysis (PFDHA) for a strand of main boundary thrust (MBT) in Garhwal-Kumaon Himalaya
To ensure the seismic safety of important buildings and infrastructure facilities in seismically active areas, it is necessary that, in addition to...
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A Change Detection with Machine Learning Approach for Medical Image Analysis
The research activity focuses on evaluating data from medical images by applying clustering techniques on extracted components for an ex-ante/ex-post...