Relevant bibliographies by topics / Tensor methods, Factor analysis, Multilinear regression

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Tensor methods, Factor analysis, Multilinear regression'

Author: Grafiati
Published: 11 March 2023
Last updated: 19 July 2025

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Journal articles on the topic "Tensor methods, Factor analysis, Multilinear regression"

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Chen, Yingting, and Runyi Zhao. "Study on Correlative Factors of Seawater Temperature Based on Regression Analysis." Highlights in Science, Engineering and Technology 83 (February 27, 2024): 518–27. http://dx.doi.org/10.54097/6fbmrx65.

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The seawater temperature is important that affects marine ecosystems and marine life. This paper aimed to analyze the main factors that affect seawater temperature using Bottle Database collected at California Cooperative Oceanic Fisheries Investigations stations. The dataset contained seawater samples collected using bottles. Linear regression was performed using temperature as the dependent variable and depth, salinity, oxygen, and potential density as independent variables. Stepwise methods were used to select variables for regression models. To determine the most influential factor affecti
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Bui, Moayedi, Gör, Jaafari, and Foong. "Predicting Slope Stability Failure through Machine Learning Paradigms." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 395. http://dx.doi.org/10.3390/ijgi8090395.

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In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression (MLR), simple linear regression (SLR), support vector regression (SVR) were used. Traditional methods of slope analysis (e.g., first established in the first half of the twentieth century) used widely as engineering design tools. Offering more progressive design tools, such as machine learning-based predictive algorithms, they draw the attention
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Omweri, F.S. "Multiple Streams Approach and Implementation of Road Safety Policy Measures in Kisii and Kisumu Counties, Kenya." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 03 (2024): 1173–87. https://doi.org/10.5281/zenodo.10846608.

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This study aimed to assess the implementation gaps in road safety policy measures in Kisii and Kisumu counties, Kenya, using the multiple streams framework. The study aimed to determine the impact of problem, policy, and politics on the implementation of road safety policy measures. A sample size of 335 was used, and interviews were conducted with traffic base commanders, county matatu owners' associations, and county directors. The reliability and validity of the study instrument were assessed using Cronbach's alpha, factor analysis, and expert opinion. Data was analyzed using descriptive and
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Cao, Xueqin, Bo Jiao, Donglin Wen, et al. "Evaluation of the correlation of dorsal root ganglia and spinal nerves with clinical symptoms in patients with postherpetic neuralgia using magnetic resonance neurography." PeerJ 11 (August 31, 2023): e15998. http://dx.doi.org/10.7717/peerj.15998.

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Purpose To assess changes of dorsal root ganglia (DRG) and spinal nerves in patients with postherpetic neuralgia (PHN), and investigate the correlation between DRG morphology and clinical symptoms in PHN patients using magnetic resonance neurography (MRN). Methods In this case-control study, forty-nine lesioned DRG in 30 patients and 49 normal DRG in 30 well-matched (age, sex, height, weight) healthy controls were assessed. Clinical symptoms of patients (pain, allodynia, itching, and numbness) were assessed. MRN features (DRG volume (VDRG), the largest diameter (Dmax) of spinal nerves, signal
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Khamitova, D. M., A. U. Yeleussinova, D. S. Kadyrbekova, and B. A. Kaliyaskarova. "Development trends and factors influencing international tourism in regions (based on Almaty and East Kazakhstan regions)." Bulletin of "Turan" University, no. 1 (March 24, 2025): 239–50. https://doi.org/10.46914/1562-2959-2025-1-1-239-250.

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The purpose of the article is to determine the development trends and factors of influence of international tourism in the regions, on the basis of correlation and regression analysis, the relationship of dependent variables with other variables is determined, the return on investment in fixed assets is calculated and conclusions are drawn based on the results of correlation and regression analysis. The study analyzed data from UN Tourism, the world leader in the field of tourism, as well as research works by world scientists interested in the rapid development of the tourism industry. The ide
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Onyeonoro, Ugochukwu U., Joseph N. Chukwu, Charles C. Nwafor, et al. "Evaluation of Patient Satisfaction with Tuberculosis Services in Southern Nigeria." Health Services Insights 8 (January 2015): HSI.S27177. http://dx.doi.org/10.4137/hsi.s27177.

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Objective Knowing tuberculosis (TB) patients’ satisfaction enables TB program managers to identify gaps in service delivery and institute measures to address them. This study is aimed at evaluating patients’ satisfaction with TB services in southern Nigeria. Materials and Methods A total of 378 patients accessing TB care were studied using a validated Patient Satisfaction (PS-38) questionnaire on various aspects of TB services. Factor analysis was used to identify eight factors related to TB patient satisfaction. Test of association was used to study the relation between patient satisfaction s
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Suh, Yuyeon. "The Effect of Korean Learners' Perception of the Quality of Korean Language Teaching on Learning Satisfaction: The Mediating Effect of Learning Commitment." Korean Association For Learner-Centered Curriculum And Instruction 24, no. 8 (2024): 791–802. http://dx.doi.org/10.22251/jlcci.2024.24.8.791.

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Objectives This study aims to verify the effect of the perceived quality of Korean language teaching on learning satisfaction for international students learning Korean for academic purposes in Korea and to verify the mediating effect of learning commitment in this relationship. Methods A survey was distributed to 250 international students taking Korean language education at language schools and universities located in Seoul and Gyeongbuk Province, and factor analysis, correlation analysis, and multilinear regression analysis were performed on 247 valid sample data finally collected using SPS
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Pucci, Martina, Vittoria Gammaldi, Luca Maria Capece, et al. "Association between Obesity and Atrial Function in Patients with Non-Valvular Atrial Fibrillation: An Echocardiographic Study." Journal of Clinical Medicine 13, no. 10 (2024): 2895. http://dx.doi.org/10.3390/jcm13102895.

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Background: Obesity is a public health problem which prevalence has increased worldwide and is associated with different degrees of hemodynamic alterations and structural cardiac changes. The aim of the study is to investigate the impact of body mass index (BMI) on left atrial function using standard and advanced echocardiography in a population of patients with non-valvular atrial fibrillation (AF). Methods: 395 adult patients suffering from non-valvular AF, divided into three tertiles based on BMI value, carry out a cardiological examination with standard and advanced echocardiography. Resul
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Wang, Dongdong, Qiuyue Han, Shan Yang, et al. "A DTI-based radiomics model for predicting epidermal growth factor receptor (EGFR) amplification in adult IDH1-wild glioblastomas." Acta Radiologica 65, no. 10 (2024): 1291–99. http://dx.doi.org/10.1177/02841851241265164.

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Background Molecular alteration events are common in glioblastomas, the isocitrate dehydrogenase (IDH)-wild of which have had poor survival results so far. The progress of radiomics-based model provides novel sights for its preoperatively noninvasive prediction. Purpose To develop a radiomics-based model for predicting epidermal growth factor receptor (EGFR) amplification status in IDH1-wild glioblastomas of adults by pretreatment diffusion tensor imaging (DTI). Material and Methods A total of 124 patients with diagnosed glioblastomas were retrospectively collected. Six conventional magnetic r
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Liu, Da, and Leehsing Lu. "The Analysis of Time Management and Students’ Self-efficacy of Blended Learning: A Case Study of College English Course in the University of Science and Technology Liaoning." International Journal of Sociologies and Anthropologies Science Reviews 4, no. 2 (2024): 549–66. http://dx.doi.org/10.60027/ijsasr.2024.4510.

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Background and Aim: This study delves into the realm of time management training within an English blended learning course, focusing on its influence on student self-efficacy and its subsequent effects on learning outcomes and perceptions. Anchored in the theories of Complex Adaptive Blended Learning Systems (CABLS), Goal Setting, and Self-efficacy, the research aims to uncover the combined impact of time management and self-efficacy enhancement on students' competence, and overall learning experiences. The objective is to assess how structured time management training, when integrated with bl
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Dissertations / Theses on the topic "Tensor methods, Factor analysis, Multilinear regression"

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BRANDI, GIUSEPPE. "Decompose et Impera: tensor methods in high-dimensional data." Doctoral thesis, Luiss Guido Carli, 2018. http://hdl.handle.net/11385/201174.

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This thesis is written with the scope of exploring multiway data. Multiway data, also referred to as tensor data, is a collection of data points in multidimensional matrices. At a first glance one may think that these objects are only a convenient representation of a datasets. They are not just a col- lection of data, they have their own structure. For this reason, multiway data need specific models to be correctly analysed. In this spirit, I developed my personal idea on data analysis which can be represented by following statement: \It is not the data that should fit models, but model
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Savas, Berkant. "Algorithms in data mining using matrix and tensor methods." Doctoral thesis, Linköpings universitet, Beräkningsvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11597.

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In many fields of science, engineering, and economics large amounts of data are stored and there is a need to analyze these data in order to extract information for various purposes. Data mining is a general concept involving different tools for performing this kind of analysis. The development of mathematical models and efficient algorithms is of key importance. In this thesis we discuss algorithms for the reduced rank regression problem and algorithms for the computation of the best multilinear rank approximation of tensors. The first two papers deal with the reduced rank regression problem,
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Conference papers on the topic "Tensor methods, Factor analysis, Multilinear regression"

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Andov, Stojan, Violeta Cvetkoska, and Tea Mijac. "Unveiling Global Road Accident Patterns - Insights, Analytics, and Implications for Safer Driving Practices." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2023. http://dx.doi.org/10.47063/ebtsf.2023.0031.

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Every day, we are confronted with alarming news of serious injuries and fatalities resulting from car accidents. In the past decade, these incidents have been on the rise, posing a significant concern for individuals and societies worldwide. The impact of these accidents is particularly devastating when innocent lives, including children, are affected by the long-lasting consequences. While driver behavior remains a major contributing factor to road accidents, there are also other indirect reasons such as infrastructure issues and weather conditions. Addressing this global problem is of utmost
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