Validation of Indigenous Knowledge Practices Among Teachers in Lower Secondary Schools in the Central Region of Uganda by Grace K. Baguma, Jesse Lukindo

“…A self-administered questionnaire with 45 items was piloted on a sample of 456 respondents of both private and government secondary schools of the central region in Uganda. A Principal Component Analysis (PCA) was done on a sample of 456 respondents to extract a five-factor dimension of Indigenous Knowledge which includes processing of foods, oils, fragrances, and pesticides; food harvesting and crop storage; food preparation; environment protection; and medicinal herbs. …”
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Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Taking the landslide monitoring points in Shanyang County, Shaanxi Province as an example, this study proposes a landslide probability forecasting model based on principal component analysis (PCA) and cuckoo search (CS) optimized radial basis function (RBF) neural network. …”
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Analysis of Volatile Organic Compounds by HS-GC-IMS in Powdered Yak Milk Processed under Different Sterilization Conditions by Duo Feng, Jing Wang, Xiao-Jiao Ji, Wen-Xiang Min, Wen-Jie Yan

“…Furthermore, principal component analysis (PCA) and fingerprint similarity analysis based on Euclidean distance compared the YMPs and found that the YMPs had certain differences, which can distinguish the YMPs with different sterilization methods. …”
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Les attentes des enseignants par rapport aux capacités des élèves à agir au comité des élèves à l’école primaire by Catherine Pache-Hébert, France Jutras, Jean-Herman Guay

“…Content analysis combines qualitative and quantitative methods and includes the following: statement development based on verbatim transcriptions and their quantification, principal component analysis and a validation based on verbatim transcriptions and observation notes. …”
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Identification of Mine Water Inrush Source Based on PCA-FDA: Xiandewang Coal Mine Case by Bo Li, Qiang Wu, Zijie Liu

“…On this basis, an identification model of water inrush source was established by using principal component analysis (PCA) and Fisher discriminant analysis (FDA) combined. …”
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The Defects and Improvements of the Internal Control Audit in Chinese Universities with respect to the Probabilistic Hesitant Fuzzy Environment by Jingjuan Zhu, Ling Xu, Yunzhong Liu, Dawei Zhu, Liangliang Chen

“…This paper analyzes the survey data and qualitative evaluation information of the internal control audit of some universities directly under the Ministry of Education of China (MEC) by using the principal component analysis. The qualitative evaluation information is given by experts and presented by the probabilistic hesitant fuzzy elements. …”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…This work focuses on the dimensionality reduction step of the ROPE development process and addresses three limitations of the proof‐of‐concept: (a) extending the altitude upper boundary from 450 km to nearly 1000 km, (b) employing deep learning for nonlinear dimensionality reduction over principal component analysis (PCA) for improved performance during storm periods, and (c) maintaining the spatial resolution of the physical TIE‐GCM model, without down‐sampling, to preserve the spatial scales and variations. …”
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A Novel Big Data Collection System for Ship Energy Efficiency Monitoring and Analysis Based on BeiDou System by Xiangming Zeng, Mingzhi Chen

“…Big data analysis methods, such as principal component analysis (PCA) and correlation analysis, are applied in the system to realize data visualization and analysis. …”
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Recognition of Reconstructed Frontal Face Images Using FFT-PCA/SVD Algorithm by Louis Asiedu, Felix O. Mettle, Joseph A. Mensah

“…This study assessed the performance of Principal Component Analysis with singular value decomposition using Fast Fourier Transform (FFT-PCA/SVD) for preprocessing the face recognition algorithm on left and right reconstructed face images. …”
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Fault Diagnosis of Bearings with Adjusted Vibration Spectrum Images by Mingquan Qiu, Wei Li, Zhencai Zhu, Fan Jiang, Gongbo Zhou

“…Two-dimensional principal component analysis (2DPCA) is used to reduce the dimension of images, and finally a nearest neighbour method is applied to classify the faults of bearings. …”
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Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning by Fu Wei, Zhang Ran, Ding Hong, Wang Wenjun, Liu Huage, Zang Sumin, Zhou Rongyan

“…A total of 47 SNPs were identified for differentiating Taihang from other breeds based on the fixation index (FST), linkage disequilibrium (LD) pruning, and machine learning, further validated using principal component analysis (PCA) and genetic relationship matrix (GRM). …”
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A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue by Jersson X Leon-Medina, Leydi J Cardenas-Flechas, Diego A Tibaduiza

“…In this sense, this work introduces a taste recognition methodology, which is composed of several steps including unfolding data, data normalization, principal component analysis for compressing the data, and classification through different machine learning models. …”
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Stand structure of tropical forests is strongly associated with primary productivity by Wenmin Zhang, Yanbiao Xi, Martin Brandt, Chunying Ren, Jialing Bai, Qin Ma, Rasmus Fensholt

“…Here we use principal component analysis to derive a stand structural indicator (SSI) index based on four structural metrics derived from GEDI covering tropical forests and upscale the GEDI footprint-level SSI to a spatially continuous distribution using Sentinel-1&2 imagery. …”
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Climate change, economic security, and macroeconomic stability: Insights from the EU by Lobonț Oana-Ramona, Vătavu Sorana, Nicolescu Ana-Cristina, Trip Andrei, Costea Florin

“…By employing methodologies such as the Ordinary Least Squares and Principal Component Analysis, the study evaluates the interrelationship between Climate Change Risk (CCR), Macroeconomic Situation (MS), and Economic System Security (ESS). …”
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Perceptions of Czech Rural Life by its Inhabitants in Connection to Tourism by Renata Klufová, Marek Šulista

“…Classical dependencies of the obtained data from the survey were analysed at first, and then multidimensional statistical methods (CATegorical Principal Component Analysis, cluster analysis) were used in the hypothesis testing of the interference of "hard" and "soft" factors of the rural development. …”
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Bioaccumulation, sources and health risk assessment of polycyclic aromatic hydrocarbons in Lilium davidii var. unicolor. by Haixu Sun, Tianxiang Xia, Hongguang Cheng, Zhenzhen Wu, Qianding Cheng, Lu Lu, Chunbao Fu

“…Correlation analysis and principal component analysis with multivariate linear regression indicated that biomass and wood burning, coal combustion, diesel combustion, and petroleum leakage were the major sources of PAHs in the raw bulbs. …”
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Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique by T. K. Revathi, B. Sathiyabhama, S Kaliraj, Vidhushavarshini Sureshkumar

“…The proposed work introduces Improvised Deep Belief Network named I-DBN to resolve the above mentioned problems and mainly to concentrate on improving the entire performance of the model leading to the unbiased output. We used Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO) algorithm for feature extraction and selection respectively. …”
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Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue by Satoshi Suzuki, Asato Yoshinari, Kunihiko Kuronuma

“…The estimating equation was derived through an outlier test (to eliminate nonstandard data) and a principal component analysis (to find dominant components). Using a cooperative carrying task (cc-task) simulator, the eye movement and operational data of the machine operators were recorded, and effectiveness of the derived estimating equation was investigated. …”
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Discriminating Mung Bean Origins Using Pattern Recognition Methods: A Comparative Study of Raman and NIR Spectroscopy by Mingming Chen, Zhigang Quan, Xinyue Sun, Yanlong Li, Lili Qian, Dongjie Zhang

“…We established a traceability model using Principal Component Analysis combined with the K-nearest neighbor method to compare the efficacy of these methods in discriminating the origins of the mung beans. …”
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The Accumulation and Seasonal Dynamic of the Soil Organic Carbon in Wetland of the Yellow River Estuary, China by Xianxiang Luo, Leyun Wang, Meng Dun, Jianqiang Yang, Zhenyu Wang

“…The results of the principal component analysis showed that the nitrogen content, salinity, bulk density, and water content were dominant influential factors for organic carbon accumulation and seasonal variation.…”
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