Feature Extraction and Recognition of Medical CT Images Based on Mumford-Shah Model by Lumin Fan, Lingli Shen, Xinghua Zuo

“…For the initialization strategy of the Mumford-Shah model, we propose to first reduce the dimensionality of the image data by the PCA principal component analysis method, and for the reduced image feature vector, we use K-means, a general clustering method, as the initial position algorithm of the segmentation curve. …”
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Morphological Characterization of Cherry Rootstock Candidates Selected from Central and East Black Sea Regions in Turkey by Aysen Koc, Zumrut Celik, Mustafa Akbulut, Sukriye Bilgener, Sezai Ercisli, Mehmet Gunes, Resul Gercekcioglu, Ahmet Esitken

“…The obtained data were analyzed by using principal component analysis and it revealed that eigenvalues of the first 3 components were able to represent 36.43% of total variance. …”
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Does investor's sentiment affect industries' return? – A case of selected Indian industries by Amit Rohilla, Neeta Tripathi, Varun Bhandari

“…Design/methodology/approach – The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. …”
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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…The probabilistic principal component analysis (PPCA) is employed to reduce the feature dimension. …”
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Liver Metabolic Alterations and Changes in Host Intercompartmental Metabolic Correlation during Progression of Malaria by Arjun Sengupta, Angika Basant, Soumita Ghosh, Shobhona Sharma, Haripalsingh M. Sonawat

“…Distinct sexual dimorphism was also observed in the global analysis of the liver metabolic profiles. Multiway principal component analysis (MPCA) was carried out on the liver, brain, and serum metabolic profile in order to explore the correlation of liver and brain metabolic profile to the metabolite profile of serum. …”
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Examining air pollution dynamics in Ploiesti: a focus on vehicular emissions by Georgeta-Olguta Gavrila, Oana Cristina Parvulescu, Cristian Constantin, Valeriu Danciulescu, Simona Mariana Calinescu, Gheorghita Tanase, Valentin Stancu

“…The experimental data were analysed using Principal Component Analysis (PCA), and were also compared with AQMS values. …”
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Prediction of Grade Classification of Rock Burst Based on PCA-SSA-PNN Architecture by Zhenyi Wang, Yalei Wang, Xiaoliang Jin

“…In order to estimate the risk grades of rock burst, an integrated method combining principal component analysis (PCA) and sparrow search algorithm (SSA) with probabilistic neural network (PNN) was proposed. …”
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Co-application of polyethylene oxide (PEO), biochar, and seaweed fertilizer improves desert soil properties by Haoying Li, Huanan Liu, Bo Qi, Lianghao Zhai, Jiashun Ding, Dan Qiu

“…The results of the principal component analysis showed that B6P0.6S2 had the best overall improvement effect. …”
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The Tamil version of Eating Attitudes Test-26: Reliability and factor structure among persons with schizophrenia by G. Swarnameenaa, Jothilakshmi Durairaj, Vaishnavi K. Madhavan, Nithyashri Hariharan, Pavithra Arunachaleeswaran, Lakshmi Venkatraman, Anoop Sankaranarayanan, Thara Rangaswamy, Padmavati Ramachandran

“…The factor structure of EAT-26 was explored using principal component analysis (PCA). Spearman’s rho was calculated to understand the correlation between the factors. …”
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EVALUATION OF THE GROUNDWATER QUALITY IN A CLOSED INDUSTRIAL LANDFILL by SENOU ISSAKA, NARCIS BÂRSAN, VALENTIN NEDEFF, SOME N. ANTOINE, NACRO H. BISMARCK

“…The strong correlation (0.5 0.8) were noted between Turbidity- Conductivity, Turbidity-Salinity, Turbidity, TDS, TSS conductivity, TSS-Salinity, TSS, TDS, COD, conductivity, salinity, COD, COD-TDS. Principal Component Analysis (PCA) also highlighted groundwater mineralization events of this landfill and possible pollution by organic matter. …”
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The Impact of Digitalization on Public Administration, Economic Development, and Well-Being in the EU Countries by Armenia Androniceanu, Irina Georgescu, Oana Matilda Sabie

“…Design/methodology/approach: The dataset consists of 15 numerical indicators extracted from Eurostat and World Bank databases. We apply principal component analysis and cluster analysis. Findings and Practical Implications: The main research results show that the first dimension – named the impact of innovation on well-being – is dominated by e-government, the percentage of ICT specialists in total, internet use by individuals, the Human Development Index, the Digitalization Index, the Happiness Indicator, human capital, and the integration of digital technology. …”
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Effects of Colchicine and ⁶⁰Co-γ Radiation Treatments on the Leaf Size and Fruit Quality of Kiwifruit ‘Donghong’ by Limei Wang, Qing Liu, Xishi Li, Guanglian Liao, Xiaobiao Xu

“…Then, the buds were grafted on rootstock, and the ploidy, leaf size, and fruit quality of mutant fruit were evaluated, and principal component analysis (PCA) and simple sequence repeat markers were used to comprehensively assess and detect genetic variations, respectively. …”
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An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine by Yudong Zhang, Shuihua Wang, Genlin Ji, Zhengchao Dong

“…The proposed method first employed digital wavelet transform to extract features then used principal component analysis (PCA) to reduce the feature space. …”
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Atmospheric Polychlorinated Naphthalenes in a Tropical Megalopolis of Vietnam: Concentrations, Potential Sources, and Health Risk by Ngo Thi Thuan, Nguyen Duy Dat, Nguyen Minh Ngoc, Nhung Thi-Tuyet Hoang, To Thi Hien, Moo Been Chang

“…Two typical homologue profiles were found in ambient air samples, including low-chlorinated PCNs (monoCNs > diCNs > triCNs) and medium-chlorinated PCNs (tetraCNs > triCNs). Principal component analysis indicated that atmospheric PCNs might be derived from three typical sources including evaporation from products containing PCNs (42.7%), primary emission from combustion-related sources (20.8%), and flue gas after treatment (11.9%). …”
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Collaborative Superpixelwised PCA for Hyperspectral Image Classification by Chao Yao, Junrui Gu, Zehua Guo, Miao Ma, Qingrui Guo, Gong Cheng

“…A recently developed superpixelwised principal component analysis (PCA) (SuperPCA), which has shown its promising performance, is a prominent technique in spectral–spatial feature extraction. …”
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Effects of enhanced fermentation with high-yielding strains of Tetramethylpyrazine on flavor quality of Douchiba by Panpan Yang, Qin Wang, Yurou Yang, Anyan Wen, Haiying Zeng, Na Liu, Likang Qin

“…Additionally, the highest comprehensive score of flavor quality was obtained in MG by principal component analysis.…”
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Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka by Pasindu Rodrigo, Charani Gunathilaka, Dulan Jayasekara, Dharshani Mahaulpatha

“…We utilized multiple environmental covariates obtained via field surveys and remote sensing techniques for the initial categorization of habitats based on principal component analysis. Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. …”
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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

“…This study proposes a Hybrid Feature Selection and Deep Learning Framework (HFSDLF) that integrates Random Forests with Principal Component Analysis (PCA) and L1 regularization for effective feature selection and classification. …”
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The Impact of the Internet on Relational Goods: Empirical Evidence from European Countries by Keziban Altun Erdoğdu

“…In this direction, firstly, categorical principal component analysis was employed in order to construct proxy indicators coded as “social relations” and “family relations” instead of relational goods. …”
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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Regi... by Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese

“…The dataset examined includes 3571 soil samples analyzed for 37 chemical elements. Principal Component Analysis (PCA) was employed to reduce the dataset’s dimensionality and identify key relationships between elements. …”
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