Visualisation of nucleotide sequences by Tomas Rekašius

“…It is solved by making use of multidimensional scaling (MDS) of principal component analysis (PCA) methods. …”
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Impact of the Application of Domestic Wastewater by Subsurface Drip Irrigation on the Soil Solution in Sugarcane Cultivation by Aline Azevedo Nazário, Ivo Zution Gonçalves, Eduardo Augusto Agnellos Barbosa, Leonardo Nazário Silva dos Santos, Daniel Rodrigues Cavalcante Feitosa, Edson Eiji Matsura

“…The use of principal component analysis determines the existence or lack of anomalous samples and the relations between measured variables and their relative contribution among samples that help in monitoring the impact of the use of effluents on soil chemical components. …”
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Characterization and Identification of Coal and Carbonaceous Shale Using Visible and Near-Infrared Reflectance Spectroscopy by En Yang, Shirong Ge, Shibo Wang

“…In order to establish an effective identification method of coal and carbonaceous shale, 250 other samples collected from the same coal mine were divided into 150 training samples and 100 prediction samples. Principal component analysis (PCA) and Gauss radial basis kernel principal component analysis (GRB-KPCA) were employed to extract principal components (PCs) of continuum removed (CR) spectra of the training samples in eight selected wavelength regions which are related to the main mineral and organic compositions. …”
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Impact of geographical variation on nutritional and antioxidant properties of Basella alba L. from Sri Lanka by Lakshanee Weerasinghe Dahanayaka, Mapa Mudiyanselage Sumudu Tharangani Mapa, Chamila Chathuranga Kadigamuwa, Dhanushka Udayanga

“…The Pearson correlation showed a strong positive correlation between total phenolic content and antioxidant activity. Principal component analysis indicates the role of antioxidant activity and chlorophyll content in location differentiation, forming distinct clusters. …”
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Distribution characteristics and pollution assessment of heavy metals in typical black soil profiles of Haicheng city, Liaoning province, China. by Ziqi Li, Cang Gong, Xiaojun Ai, Xiaohuang Liu, Xiaofeng Zhao, Jiufen Liu

“…Except for profile HCB01, where Cd and Hg in the surface soil are at moderate pollution levels, the heavy metals in the surface soil of the other profiles are at non-pollution to mild pollution levels. Principal component analysis results show that As, Cr, Cu and Ni belong to natural sources, Cd and Hg belong to anthropogenic sources from agricultural activities-atmospheric deposition, and Pb and Zn have both sources.…”
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Poisson Denoising for Astronomical Images by Fahad Shamshad, M. Mohsin Riaz, Abdul Ghafoor

“…The scheme employs the concept of Exponential Principal Component Analysis and sparsity of image patches. The color space RGB is converted to YCbCr and K-means++ clustering is applied on luminance component only. …”
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Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire by S. Torres, D. Alonso, N. Martinez, S. Merced

“…Clustering results are compared using K-Means, DBSCAN, and HDBSCAN algorithms. Principal Component Analysis is applied to visualize the dataset. …”
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A Distortion-Free Data Hiding Scheme for Triangular Meshes Based on Recursive Subdivision by Yuan-Yu Tsai

“…Finally, a principal component analysis can make the stego model against similarity transformation and vertex/triangle reordering attacks. …”
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Biosensor response to multi-component mixtures statistical analysis and forecasting by Romas Baronas, Sigitas Būda, Feliksas Ivanauskas, Pranas Vaitkus

“…Due to high dimensionality of biosensor output data the principal component analysis is applied. Additional multivariate analysis of variance is used to analyze the response sensitivity  of each biosensor type. …”
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Mapping the global election landscape on social media in 2024. by Giulio Pecile, Niccolò Di Marco, Matteo Cinelli, Walter Quattrociocchi

“…By identifying key topics and measuring public engagement, we uncover patterns in political discourse. Using Principal Component Analysis, we explore how these topics are related and distinguish trends in audience interaction. …”
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Carbon sequestration rate in sediment mangroves from natural and rehabilitated mangroves by D. Ariyanto, D. Pringgenies

“…The principal component analysis results revealed that organic carbon, carbon dioxide equivalent, carbon stock, and carbon sequestration had positive correlation characteristics influenced by salinity, silt, and clay, while negative correlation characteristics were affected by temperature, total dissolved solids, and sand. …”
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Multivariate Analysis of Phenotypic Diversity of Rice (Oryza sativa L.) Landraces from Lamjung and Tanahun Districts, Nepal by Anup Dhakal, Amrit Pokhrel, Shishir Sharma, Ankur Poudel

“…The principal component analysis revealed that five among the thirteen principal components were significant (eigenvalue >1) and contributed to 29.96%, 20.26%, 13.56%, 11.68%, and 9.22% of the total variance, respectively. …”
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Water Quality Assessment of Rivers in Aquatic Eco-environmental Function Regions in Changzhou City by WANG Xuesong, ZHANG Ge, LI Ying, XU Jinqian, CAI Yongjiu

“…In 2018,57 monitoring sections were arranged for a quarterly water quality survey in Changzhou,which can help grasp the water quality of 13 aquatic eco-environmental function regions.The current situation,characteristics of spatial heterogeneity,and seasonal changing laws of main water quality indicators are evaluated by multiple methods such as the water quality grade analysis,comprehensive water quality identification index (WQII) method,redundancy analysis,and principal component analysis.In this way,we can explore the major influencing factors of water quality.The results are as follows:① In 2018,the water quality of rivers in Changzhou City was mainly classified as Grade IV according to the Environmental Quality Standards for Surface Water (GB 3838—2002),which indicates the poor water quality.② The results show significant spatio-temporal difference in the concentration of main water quality indicators,and the water quality in the western hills is better than that in the eastern plains.The grade of water quality is higher in summer and autumn than in spring and winter.③ From the perspective of aquatic eco-environmental function regions,the water quality of III-09 (ecologically Grade III), IV-02 (ecologically Grade IV),and IV-03 (ecologically Grade IV) regions in the eastern urban area is poor,while the water quality of I-02 (ecologically Grade I), II-01 (ecologically Grade II),III-08 (ecologically Grade III) regions in the west is good.The grades of aquatic eco-environmental function regions are highly consistent with the water quality,which proves that the function regions can provide scientific reference for the monitoring, assessment,and environmental management of water quality.④ The redundancy analysis shows that the land for construction is the main influencing factor in the deterioration of water quality.The increase in the relative proportion of arable land and the decrease in the aquatic area closely correlate with the deterioration of water quality when the scale is over 2,000 m.⑤ The principal component analysis indicates that the five-day biochemical oxygen demand,COD,and permanganate index have high interpretation rates.This shows that the water quality of rivers in Changzhou City is mainly affected by organic pollution and eutrophication. …”
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Effects of Polystyrene Microplastic Exposure on Liver Cell Damage, Oxidative Stress, and Gene Expression in Juvenile Crucian Carp (<i>Carassius auratus</i>) by Xiangtong Li, Yuequn Huang, Wenrong Li, Chaoyang Deng, Weiyuan Cao, Yi Yao

“…These results demonstrate a typical dose–effect relationship. (2) Principal component analysis and Spearman’s correlation analysis demonstrated that four components, namely glutathione S-transferase (GST) and its related genes (<i>GSTpi</i>, <i>GSTα</i>), along with catalase (CAT), contributed the most to the observed outcome. …”
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Classification of North Atlantic and European extratropical cyclones using multiple measures of intensity by J. Cornér, C. Bouvier, B. Doiteau, B. Doiteau, F. Pantillon, V. A. Sinclair

“…Based on the correlations and the sparse principal component analysis, we find that five intensity measures, namely 850 hPa relative vorticity, 850 hPa wind speed, wind footprint, precipitation, and a storm severity index, describe ETC intensity comprehensively and non-redundantly. …”
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Multivariate Statistical Analysis for the Classification of Sausages Based on Physicochemical Attributes, Using Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) a... by Quang Minh Bui, Quang Trung Nguyen, Thanh Thao Nguyen, Ha My Nguyen, Thi Tinh Phung, Viet Anh Le, Ngoc Minh Truong, The Vinh Mac, Tien Dat Nguyen, Le Tuan Anh Hoang, Ha Minh Duc Tran, Van Nhan Le, Minh Duc Nguyen

“…Therefore, in this study, principal component analysis (PCA) was combined with chemical analysis to identify 6 sausage brands. …”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…Teknik konvensional untuk feature reduction seperti principal component analysis (PCA), mengasumsikan orthogonality atau independensi antar komponen prinsipal nya. …”
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Application of a Fault Detection and Isolation System on a Rotary Machine by Silvia M. Zanoli, Giacomo Astolfi

“…A model-free approach, that is, the Principal Component Analysis (PCA), has been employed to solve the fault detection issue. …”
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Application of big data method in forecasting potential sensitive customers of electric power by Xiaofeng CHEN, Yadi ZHAO, Lipeng ZHANG, Feng ZHU

“…With the continuous development and extension of 95598 business,the intensity of manual telephone traffic increases.In order to further deepen the consciousness and understanding of the hidden features and the demands of the customers,improve the customer service level of 95598,the typical application scenarios in the customer service such as the tendency of the complaint were refined.Based on the data of power service orders,the key index of modeling was selected.Through entropy weight method,principal component analysis and decision tree and other data mining algorithms,potential complaint propensity customers and planned blackout sensitive customers in order to carry out targeted service resource scheduling were identified,fully do a good job of response measures,effectively reduce complaint pressure and improve service accuracy.…”
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EMG- BASED HAND GESTURE RECOGNITION USING DEEP LEARNING AND SIGNAL-TO-IMAGE CONVERSION TOOLS by SABRINA AKTER, BIMAL KUMAR PRAMANIK, MD EKRAMUL HAMID

“… In this paper, deep learning-based hand gesture recognition using surface EMG signals is presented. We use Principal component analysis (PCA) to reduce the data set. Here a threshold-based approach is also proposed to select the principal components (PCs). …”
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