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Exploration of suitable utilization paths for different parts of corn straw based on principal component analysis
As a widely produced renewable, low-cost biomass resource, corn straw’s physicochemical properties and utilization potential have been extensively...
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A robust principal component analysis-based approach for detection of a stator inter-turn fault in induction motors
Health condition monitoring of induction motors is important because of their vital role and wide us in a variety of industries. A stator inter-turn...
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Beyond waste: waste rice husk to value-added products using sonic waves and chemical treatment and principal component analysis of extraction
This study mainly focussed on the chemical pre-treatment of waste rice husk using sodium hydroxide followed by sonication to extract cellulose,...
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Principal component analysis and partial least square regression models to understand sorption-enhanced biomass gasification
Gasification represents a potential technology for the conversion of biomass into usable energy. The influence of the main gasification parameters,...
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Insights from principal component analysis applied to Py-GCMS study of Indian coals and their solvent extracted clean coal products
The present work aims at studying five Indian coals and their solvent extracted clean coal products using Py-GCMS analysis and correlating the...
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Faults detection and identification in PV array using kernel principal components analysis
The exponential growth of the photovoltaic system installations also requires an adequate maintenance and supervision system to ensure the continuity...
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Dimensionality Reduction for Face Recognition Using Principal Component Analysis Based Big Bang–Big Crunch Optimization Algorithm
Dimensionality reduction is a significant step for various multimedia-based applications, where transmission bandwidth and storage space requirements...
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On-line Monitoring of Measurement Errors of CVT Based on Independent Component Analysis
Capacitive voltage transformers have been widely used in high-voltage power grids of 110 kV and above. Generally, the regular off-line detection...
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Adaptive neuro fuzzy predictive models of agricultural biomass standard entropy and chemical exergy based on principal component analysis
In order to effectively utilize energy of agricultural biomass, there is a need to evaluate energy potential. For such a purpose, chemical exergy and...
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Principal Component Analysis
Multivariate statistical methods beyond the correlation and covariance analysis include principal component analysis (PCA), factor analysis,...
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Behavioral Analysis and Pattern Validation
After reading this chapter you should be able to:...
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Convective drying of golden delicious apple enhancement: drying characteristics, artificial neural network modeling, chemical and ATR-FTIR analysis of quality parameters
In recent years, many innovative methods have been investigated to provide alternative approaches to the food drying industry, but currently the most...
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An Electronic Tool to Differentiate Between Potatoes According to Fertilization Methods
The chapter concentrates on the distinction between two varieties of potatoes: the first kind is harvested from soil traditionally processed with...
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Comparative analysis of antimicrobial, antioxidant activities and phytochemicals of Himalayan lichens
The aim of the present study is to investigate the antimicrobial and antioxidant activities of lichens collected from Himalaya and to analyze their...
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Evaluation of bottom ash slagging risk during combustion of herbaceous and woody biomass fuels in a small-scale boiler by principal component analysis
In the short- and mid-term perspective, drastic measures for the reduction of anthropogenic emissions including extensive decarbonization of the...
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An Enhanced Approach Based on PCA and ACO Methods for Facial Features Optimization
An automatic system for facial expression analysis consists generally of three main phases: detection, feature extraction and classification. In this...
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Analysis Study of the Dynamic Behavior of a 2 MW Grid-Tied DFIG in Case of Asymmetrical Voltage Dips
It is well known that the generator is almost considered as the heart of the wind turbine; thus, in case of grid integration, the deep knowledge of...
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Simulation Analysis of Voltage Transient Stability Margins in Distribution Networks Under Large-Scale Distributed Power Supply Access Conditions
In the traditional distribution network voltage transient stability margin analysis under the conditions of large-scale distributed power supply...
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Mathematical Models and Data Analysis
This chapter starts with an introduction of forward and inverse models and provides a practical context of their distinctive usefulness and specific...
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Satellite Dataset Visual Analysis for Remote Soil Nutrient Estimation
This paper proposes a methodology for visualizing satellite-based machine learning (ML) datasets to understand the visual components that will be...