A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia by Mochamad A. Pratama, Yan D. Immanuel, Dwinanti R. Marthanty

“…Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. …”
Get full text

ASM-Based Objectionable Image Detection in Social Network Services by Sung-Il Joo, Seok-Woo Jang, Seung-Wan Han, Gye-Young Kim

“…For this purpose, our method first learns the shape of a woman's breast lines through principal component analysis and alignment, as well as the distribution of the intensity values of the corresponding control points. …”
Get full text

Microplastics contamination in Coban Kethak and its flow by Vidayanti Viky, Retnaningdyah Catur, Arisoesilaningsih Endang

“…According to principal component analysis and cluster analysis, the study shows that microplastic contamination is associated with human activities, with recreational areas being the most affected. …”
Get full text

Antioxidant Characterization of Oak Extracts Combining Spectrophotometric Assays and Chemometrics by Boris M. Popović, Dubravka Štajner, Ružica Ždero, Saša Orlović, Zoran Galić

“…The data of different procedures were compared and analyzed by multivariate techniques (correlation matrix calculation and principal component analysis (PCA)). PCA found that investigated organs of two different oak tree species possess similar antioxidant characteristics. …”
Get full text

A Fault Diagnosis Method for Out-of-Round Faults of Metro Vehicle Wheels with Strong Noise by Haifeng Huang, Heli Wang, Weijiu Zhang, Weijie Gu

“…In this paper, we proposed a diagnosis method on OOR faults of metro vehicle wheels combined with variational mode decomposition (VMD), kernel principal component analysis (KPCA), and deep belief network (DBN) to diagnose the OOR faults of metro wheels. …”
Get full text

Determinants of Industry 4.0 Readiness in the Manufacturing of the V4 Economies by Edward Molendowski, Kinga Nawracaj‑Grygiel, Marta Ulbrych

“…The investigation relies on the authors’ proposal for twelve variables that constitute the basis for a study using principal component analysis (PCA). Based on the calculation of factor loadings, the study produces a composite indicator of I4.0 readiness. …”
Get full text

Relation entre Ptéridophytes épiphytes et leurs phorophytes en zone de montagne du rift albertin : cas du Parc national de Kahuzi-Biega en RD Congo by Bienfait Birindwa, Alfred Cubaka, Legrand Cirimwami, Roger Katusi, Jean De Dieu Mangambu

“…Pteridophyte diversity indices were measured as well as the relationships between floristic variation of pteridophytes and ecological variation using principal component analysis (PCA). The 63 epiphytic Pteridophytes were recorded out of 842 phorophytes belonging to 20 species. …”
Get full text

An Artificial Intelligence-Based Hybrid Approach to Detect the Type of Buried Objects with Broad Frequency Band Antenna Systems by Ebru Efeoğlu

“…To increase the success of the algorithms, correlation-based attribute selection (CFS) and Principal Component Analysis (PCA) were used as attribute selection techniques. …”
Get full text

Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Initially, a correlation matrix is used to identify redundant noise and multicollinear features within customer feature groups, and Principal Component Analysis is applied for denoising and dimensionality reduction to enhance the ability of the model to identify potential features. …”
Get full text

Matched serum- and urine-derived biomarkers of interstitial cystitis/bladder pain syndrome. by Tadeja Kuret, Igor Sterle, Rok Romih, Peter Veranič

“…Heatmaps and principal component analysis based on significantly altered biomarkers, revealed urine- and serum-associated IC/BPS signatures that clearly differentiated IC/BPS patients from controls. …”
Get full text

Untargeted Metabolomics Analysis Reveals the Effect of Fixation on the Profile of Volatile Compounds of Cyclocarya paliurus Tea by Minge Bai, Liling Wang

“…A total of 147 metabolites that differentiated both types of teas were identified using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). …”
Get full text

Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models by Richard J. Licata, Piyush M. Mehta

“…Our method leverages principal component analysis to reduce the dimensionality of TIE‐GCM and recurrent neural networks to model the dynamic behavior of the thermosphere much quicker than the numerical model. …”
Get full text

Robust Spike Sorting Using Dual Tree Complex Wavelet Transform: Overcoming Traditional Limitations by Gorkem Serbes

“…Traditional feature extraction methods like the Haar wavelet and principal component analysis (PCA) face limitations in high-noise environments and when dealing with similar spike waveforms. …”
Get full text

Chemical and Physical Characteristics in Uncultivated Soils with Different Lithology in Semiarid Mediterranean Clima by Daniel Moraetis, Nikolaos Lydakis-Simantiris, Despina Pentari, Emmanouil Manoutsoglou, Chryssa Apostolaki, Vasilios Perdikatsis

“…The current work is of great interest in the agriculture and environmental stakeholders for providing a “benchmark” of undisturbed soil quality regarding organic content and nutrients availability. Principal Component Analysis (PCA) was used as the primary tool to demonstrate the soil quality stage, regarding nutrient availability. …”
Get full text

Unsupervised Classification of Global Temperature Profiles Based on Gaussian Mixture Models by Xiaotian Ye, Weifeng Zhou

“…After standardizing the data, Principal Component Analysis (PCA) reduced the dimensionality from 32 to 7, preserving key temperature variations. …”
Get full text

SOCIAL CAPITAL AND AIR POLLUTION: EVIDENCE FROM TURKEY by Cuma Demirtaş, Munise Ilıkkan Özgür

“…Moreover a city-based social capital index is developed by utilizing the principal component analysis (PCA). Empirical findings show that a U-shaped income-emission relationship is prevalent in Turkey, whereas no significant income-emission interdependency exists within the aforementioned panel groups developed. …”
Get full text

Does Investor Sentiment Influence South African ETF Flows During Different Market Conditions? by Paidamoyo Aurleen Shenjere, Sune Ferreira-Schenk, Fabian Moodley

“…For a more complex understanding of how sentiment evolved and influenced market regimes, the Markov regime-switching model was integrated with Principal Component Analysis. The results found that investor sentiment had a significant impact on most of the ETFs in both the bull and bear regimes. …”
Get full text

Genetic Diversity on Farm in Japanese Paper Mulberry by Dinh Thi Lam, Katsunori Tanaka, Akihiko Takashima, Ayako Shibutani, Ryuji Ishikawa

“…Although various types of cultivars exhibiting different appearances are hard to discriminate, principal component analysis (PCA) distinguished two major groups. …”
Get full text

Geochemical Mass Balance and Elemental Transport during the Weathering of the Black Shale of Shuijingtuo Formation in Northeast Chongqing, China by Sixiang Ling, Xiyong Wu, Siyuan Zhao, Xin Liao, Yong Ren, Baolong Zhu

“…As per the principal component analysis of major elements, density, and pH values, the first component represents the “elemental factor” and the second denotes the “external factor.” …”
Get full text

Trend Analysis and Comprehensive Evaluation of Green Production Principal Component of Thermal Power Unit Based on ANP-MEEM Model by Zhongfu Tan, Qingkun Tan, Liwei Ju, Shenbo Yang, Huangfu Cheng, Jiale Ma

“…This paper takes the green development of electric power as the research direction, the thermal power unit is the green source control point of electricity, and the green production of the thermal power unit is the research target; based on the actual research data and the actual data, the comprehensive evaluation of the green production of a thermal power generating unit in a city is carried out by means of ANP, matter-element extension model, and principal component analysis. This paper not only reflects the quantification of green benefits in each year, but also achieves the comparison of green achievements and the analysis of increasing losses in the data years. …”
Get full text