Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods by Pan-Pan Zhang, Xin-Jing Gui, Xin-Jing Gui, Xin-Jing Gui, Xue-Hua Fan, Han-Li, Hai-Yang Li, Xiao-Peng Li, Feng-Yu Dong, Yan-Li Wang, Jing-Yao, Jing-Yao, Jun-Han Shi, Jun-Han Shi, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu

“…Based on the E-nose sensor response value and the peak volumes of the 111 VOCs, the unguided Principal Component Analysis (PCA), guided Principal Component Analysis-Discriminant Analysis (PCA-DA), and Partial Least Squares-Discriminant Analysis (PLS-DA) models were established to differentiate AF by authenticity, origin, and provenance. …”
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Hairy vetch influence on nitrous oxide and nitrate leaching losses during corn growing seasons in reduced and no-till systems by Ashani Thilakarathne, Madhabi Tiwari, Oladapo Adeyemi, Amanda Weidhuner, Pawan Kumar, Gurbir Singh, Jon Schoonover, Karl Williard, Karla Gage, Amir Sadeghpour

“…We also evaluated factors influencing N2O emissions and NO3-N leaching via principal component analysis. Corn grain yield was higher in RT (8.4 Mg ha−1) than NT (6.2 Mg ha−1), reflecting more available N in the soil in RT than NT, possibly due to the favorable aeration and increased soil temperature in deeper soil layers resulting from tillage. …”
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Assessment of Near-Bottom Water Quality of Southwestern Coast of Sarawak, Borneo, Malaysia: A Multivariate Statistical Approach by Chen-Lin Soo, Cheng-Ann Chen, Shabdin Mohd-Long

“…Nevertheless, nitrate-nitrogen exceeded the guideline value at all sampling stations along the coastline. The principal component analysis (PCA) has determined a reduced number of five principal components that explained 89.0% of the data set variance. …”
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What does external morphometry tell us about stock discrimination of Sardina pilchardus stocks from Türkiye? by Ozpicak Melek, Saygin Semra

“…Samples were collected from the Aegean Sea (AS; N = 54), the Sea of Marmara (MS; N = 50) and the Mediterranean Sea (MEDS; N = 50) during the 2019 fishing season. Principal Component Analysis (PCA) and Canonical Discriminant Analysis (CDA) were used for stock discrimination of the European pilchard. …”
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Biodegradable Food Packaging Materials and Prospects of the Fourth Industrial Revolution for Tomato Fruit and Product Handling by S. M. Chisenga, G. N. Tolesa, T. S. Workneh

“…There is a research gap on the development of a hybrid sensor system unit that can integrate sampling headspace (SHS), detection unit, and data processing of big data for heterogeneous tomato-derived volatiles. Principal component analysis (PCA), linear discriminant analysis (LDA), and artificial neutral network (ANN) are some of the common mathematical models for data interpretation of sensor systems.…”
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Validity and Reliability of Agoraphobic Cognitions Questionnaire-Turkish Version by Ayşegül KART, M. Hakan TÜRKÇAPAR

“…Construct validity was evaluated by factor analysis after the Kaiser-Meyer-Olkin (KMO) and Bartlett test had been performed. Principal component analysis and varimax rotation used for factor analysis. …”
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Identification of Geographical Origin of Milk by Amino Acid Profile Coupled with Chemometric Analysis by Min Kang, Quanhong Yue, Shikuan Jia, Jiarong Wang, Mengdan Zheng, Ran Suo

“…Furthermore, the principal component analysis (PCA) demonstrated the feasibility of geographical origin identification using an amino acid profile, which the first 2 principal components account for 65.62% of total variance. …”
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Classification hiérarchique des zones boisées d’altitudes de l’île d’Anjouan, Comores by Houmadi Amélaïd, Pascal Fust, Kathleen Green, Mohamed Daniel, Ishaka Said, Joelisoa Ratsirarson, Steeves Buckland

“…Two types of analyses were used to partition the habitat into different classes : principal component analysis (PCA) and hierarchical cluster analysis (HCA). …”
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Study on GIS Visualization in Evaluation of the Human Living Environment in Shenyang-Dalian Urban Agglomeration by Kang Hou, Jieting Zhou, Xuxiang Li, Shengbin Ge

“…Based on the carrying capacity of resources, natural and socioeconomic environmental factors and regional changes of human living environmental evaluation are analyzed with the application of geographic information systems (GIS) software. By using principal component analysis (PCA) model and natural breaks classification (NBC) method, the evaluation results are divided into five categories. …”
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Nutritional Properties and Antinutritional Factors of Corn Paste (Kutukutu) Fermented by Different Strains of Lactic Acid Bacteria by Tchikoua Roger, Tatsadjieu Ngouné Léopold, Mbofung Carl Moses Funtong

“…L. plantarum A6 reduced the tannin content to 98.8% and L. buchneri M11 reduced the phytate content to 95.5%. The principal component analysis (PCA) shows that, for a best reduction of antinutrients factors and improvement of protein content and minerals, Kutukutu must be fermented by L. brevis G25 and L. fermentum N33, respectively. …”
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A Feasibility Study on Monitoring Shelf Life of Bottled Natural Fruit Juice Using Laser-Induced Autofluorescence by Peter Osei-Wusu Adueming, Jerry Opoku-Ansah, Andrew Atiogbe Huzortey, Charles Lloyd Yeboah Amuah, Kwasi Nyandey, Moses Jojo Eghan, Benjamin Anderson, Samuel Sonko Sackey

“…Deconvolution of the LIAF spectra revealed underlying peaks representing constituents of the BNFJ. Principal component analysis (PCA) was able to monitor the trend in the changes of the BNFJ as it aged. …”
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An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model by Yuhua Dai

“…Mel cepstral coefficient (MFCC) is used for feature extraction, and principal component analysis (PCA) is used for dimensionality reduction of feature data. …”
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Improved RPCA Method via Fractional Function-Based Structure and Its Application by Yong-Ke Pan, Shuang Peng

“…Hence, this paper proposed an improved robust principal component analysis algorithm (IRPCA) for logging data denoising, which addresses the problems of various noises in oil logging data acquisition and the limitations of conventional data processing methods. …”
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Fault Diagnosis of Electromechanical Actuator Based on VMD Multifractal Detrended Fluctuation Analysis and PNN by Hongmei Liu, Jiayao Jing, Jian Ma

“…Then, the principal component analysis (PCA) was introduced to realize dimension reduction of the extracted feature vectors. …”
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A Principle Component Analysis of Galaxy Properties from a Large, Gas-Selected Sample by Yu-Yen Chang, Rikon Chao, Wei-Hao Wang, Pisin Chen

“…Considering the importance of the issue, we reinvestigate the problem using the principal component analysis on a fivefold larger sample and additional near-infrared data. …”
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Analysis of Soil-Vegetation Interrelationships in a South-Southern Secondary Forest of Nigeria by D. D. Eni, A. I. Iwara, R. A. Offiong

“…Soil-vegetation interrelationships in a secondary forest of South-Southern Nigeria were studied using principal component analysis (PCA) and canonical correlation analysis (CCA). …”
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Development of a Representative EV Urban Driving Cycle Based on a k-Means and SVM Hybrid Clustering Algorithm by Xuan Zhao, Qiang Yu, Jian Ma, Yan Wu, Man Yu, Yiming Ye

“…The driving pattern data are collected using a hybrid method of on-board measurement method and chase car method. Principal component analysis (PCA) is used to reduce the dimensionality of the characteristic parameters. …”
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Revolutionizing agricultural stock volatility forecasting: a comparative study of machine learning and HAR-RV models by Houjian Li, Xinya Huang, Fangyuan Luo, Deheng Zhou, Andi Cao, Lili Guo

“…The PCA-LSTM model, which integrates these factors through Principal Component Analysis (PCA), outperforms other models, showcasing its effectiveness. …”
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Variations of TEC Over Iberian Peninsula in 2015 Due to Geomagnetic Storms and Solar Flares by A. L. Morozova, T. V. Barlyaeva, T. Barata

“…Abstract The total electron content (TEC) over the Iberian Peninsula was studied using data from two locations obtained both by Global Navigation Satellite System receivers and an ionosonde. The principal component analysis applied to the TEC data allowed us to extract two main modes. …”
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A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques by Ali Soleymani, Fatemeh Arabgol

“…Its performance is improved by extracting statistical features by principal component analysis. The performance of the proposed model has been evaluated using different classifiers of machine learning algorithms such as decision tree, support vector machine, random forest, and logistic regression. …”
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