Research on FTTR WLAN indoor wireless location algorithm based on frequency response by Zhifeng LONG, Jing ZHANG

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Integrating principal component analysis, fuzzy inference systems, and advanced neural networks for enhanced estuarine water quality assessment by Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale

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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

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Comprehensive Evaluation of Starch and Noodles Quality of Different Sweet Potato Varieties Based on Principal Component Analysis and Cluster Analysis by Mi LUO, Wang YIN, Renju DENG, Yufang GUAN, Mu PAN, Qiaoyu WU, Mei FU

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An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning by Néstor Rodríguez-Padial, Marta Marín, Rosario Domingo

“…In the proposed Custom Balance Scorecard design, an exploratory data phase is integrated with another analysis and prediction phase using Principal Component Analysis algorithms and Machine Learning that uses Artificial Neural Network algorithms. …”
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The Depression, Anxiety, Stress Scales-21: Principal component analysis and evaluation of abbreviated versions in young adults with temporomandibular disorders. by Yinghao Xiong, Adrian Ujin Yap, Carolina Marpaung, May Chun Mei Wong

“…Demographic information, the DASS-21, and quintessence five TMD symptoms (5Ts) of the Diagnostic Criteria for TMDs were collected. Principal component analysis (PCA) was employed to condense the DASS-21 (wave 1 data), while confirmatory factor analysis (CFA) was used to determine maximum likelihood estimates and compare different abbreviated DASS-21 versions (wave 2 data). …”
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Unsupervised Identification for 2-Additive Capacity by Principal Component Analysis and Kendall’s Correlation Coefficient in Multi-Criteria Decision-Making by Xueting Guan, Kaihong Guo, Ran Zhang, Xiao Han

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A distributed expectation maximization-principal component analysis monitoring scheme for the large-scale industrial process with incomplete information by Xuanyue Wang, Xu Yang, Jian Huang, Xianzhong Chen

“…Then, the missing information of variables is estimated by expectation maximization algorithm in the principal component analysis framework, then the expectation maximization-principal component analysis method is applied for fault detection to each sub-block. …”
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Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis by Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

“…To solve this problem, as well as the problem of data size, this paper proposes a data preprocessing approach based on the k-nearest neighbor (KNN) completion for imputation of missing data and principal component analysis (PCA) for processing redundant data, thus reducing the data size by generating a significant quality sample after imputation of missing and outlier data. …”
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A Characterisation and Profiling of District Health Indicators in Zimbabwe: An Application of Principal Component Analysis in a Data Limited Setting by Shepherd Shamu, Simbarashe Rusakaniko, Charles Hongoro

“…In a data limited country such as Zimbabwe, Principal Component Analysis method can be used to identify a set of indicators that account for cross variation between different regions. …”
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A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang

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Nuclear Magnetic Resonance Fingerprinting and Principal Component Analysis Strategies Lead to Anti-Tuberculosis Natural Product Discovery from Actinomycetes by Jianying Han, Xueting Liu, Lixin Zhang, Ronald J. Quinn, Miaomiao Liu

“…Methods: This study integrates cultivation optimization, nuclear magnetic resonance (NMR) fingerprinting, and principal component analysis (PCA) to explore microbial secondary metabolites as potential anti-TB agents. …”
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RISK-BASED CONTRIBUTION IN DEPOSIT GUARANTEE SCHEMES: A ROBUST PRINCIPAL COMPONENT ANALYSIS IN KEY RISK FACTORS’ WEIGHTING STEP by SAVERIO GIORGIO, PINA MURÈ, COSIMO PACCIONE, LUCILLA BITTUCCI

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HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis by Nan Jiang, Sungyoung Lee, Taesung Park

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Use of Principal Component Analysis and Cluster Analysis for Differentiation of Traditionally-Manufactured Vinegars Based on Phenolic and Volatile Profiles, and Antioxidant Activity by Ayse Karadag, Fatih Bozkurt, Hatice Bekiroglu, Osman Sagdic

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Impact of nutrient dynamics on chlorophyll-a concentrations in non-interconnected lakes: A study in the Vellore and Chennai region by Raghul Mageswaran, Porchelvan Ponnusamy

Subjects: “…Principal component analysis…”
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Impact of environmental and geographical position on the chemometric classification of ethanol extracts from Isotoma longiflora leaves by E. Imelda, K. Khairan, R.R. Lubis, T. Karma, R. Idroes

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Using the gene pool of CIMMYT cultivars and lines in spring durum wheat breeding in Western Siberia by V. S. Yusov, М. G. Evdokimov, M. N. Kiriakova, D. A. Glushakov

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New Robust Principal Component Analysis for Joint Image Alignment and Recovery via Affine Transformations, Frobenius and L2,1 Norms by Habte Tadesse Likassa

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Path Coefficient, Genetic Divergent and Principal Component Analysis on Common Bean (Phaseolus Vulgaris L.) Genotypes in Sekota, North Western Ethiopia by Abebe Assefa, Dereje Mekonnen, Muluken Bantayehu

“…Information on the genetic divergent, path coefficient and principal component analysis plays a vital role for further breeding activity in common bean. …”
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