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Journal articles on the topic 'Factor classification'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Tajima, Takuya, Nami Yamaguchi, Yudai Morita, Takuji Yokoe, and Etsuo Chosa. "Novel classification for multi-ligament knee injury including both tibiofemoral joint factor and patellofemoral joint factor (193)." Orthopaedic Journal of Sports Medicine 9, no. 10_suppl5 (2021): 2325967121S0030. http://dx.doi.org/10.1177/2325967121s00304.

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Objectives: Multi-ligament knee injury (MLKI) shows very varied symptoms which was depended on the combination of injured ligaments. Schenck`s knee dislocation classification which was one of useful classifications for surgeon in decision making. However, Schenck`s classification is only referred to the factors of cruciate ligament and collateral ligament. It is well known that knee joint consists of two important structure; tibiofemoral joint and patellofemoral joint. Knee extensor structure is one of important factors of knee function. Dislocation of patella, quadriceps or patella tendon rup

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Makarau, A., R. Müller, G. Palubinskas, and P. Reinartz. "HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B7 (July 31, 2012): 137–40. http://dx.doi.org/10.5194/isprsarchives-xxxix-b7-137-2012.

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R.J., Ramteke, and Gharde S.S. "COMPUTATIONAL MODEL FOR MENTAL FACTOR CLASSIFICATION." ICTACT Journal on Soft Computing 12, no. 4 (2022): 2685–89. http://dx.doi.org/10.21917/ijsc.2022.0383.

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Artificial Wisdom is advancement of Artificial Intelligence where wisdom should be recognized with the intelligence. Wisdom can be realized by adding values in the positive decisions. This is resulted in to the overall behavior of human being. Behavior can be demonstrated with the help of simulating thought process. Thoughts are generated in the mind along with the mental state. Mental state also known as mental factor is responsible for arousal of different types of thoughts. Ancient Indian cannon Abhidhamm claimed 52 mental factors. These are categorized in three classes such as Ethically Va

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Garcia, Enguer Beraldo, Liliane Faria Garcia, Saulo Terror Giesbrecht, et al. "ADOLESCENT IDIOPATHIC SCOLIOSIS AND SIMILAR CONDITIONS: THREE-DIMENSIONAL CLASSIFICATION." Coluna/Columna 17, no. 4 (2018): 286–92. http://dx.doi.org/10.1590/s1808-185120181704191818.

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ABSTRACT Objective: To create a new comprehensive, three-dimensional, applicable classification for Adolescent Idiopathic Scoliosis and similar conditions. Methods: The Three-Dimensional Classification was created with three components: the first, the quantitative factor, divides into three types according to the number of curves; the second, the locator factor defines the most structured point of the curve; and the third, the sagittal factor, evaluates the overall sagittal plane. To test the new classification, we studied the images of 99 patients comparing the intra- and interobserver agreem

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Mandeep, Kaur* Dr. Raman Chadha Er. Pravneet Kaur. "MULTI-FACTOR REVIEW CLASSIFICATION ALGORITHM FOR PRODUCT PROFILE BUILDING USING PROBABILISTIC CLASSIFICATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 8 (2016): 600–606. https://doi.org/10.5281/zenodo.60104.

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The online shopping portals have been grown their popularity over the recent years and have gained the multi-billion dollar business by selling the variety of the goods from their portals. The online shopping portals post the major problem to customers in the case of the pre-purchase verification of the goods, which is the major reason behind the problem arising with the higher number of after sales product returns. The touch and feel of the product during purchasing gives the customers metal satisfaction as they completely investigate the product condition before paying the amount for purchas

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Konishi, Toshiki, Satoshi Hamai, Hidetoshi Tsushima, et al. "Pre- and postoperative Coronal Plane Alignment of the Knee classification and its impact on clinical outcomes in total knee arthroplasty." Bone & Joint Journal 106-B, no. 10 (2024): 1059–66. http://dx.doi.org/10.1302/0301-620x.106b10.bjj-2023-1425.r1.

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AimsThe Coronal Plane Alignment of the Knee (CPAK) classification has been developed to predict individual variations in inherent knee alignment. The impact of preoperative and postoperative CPAK classification phenotype on the postoperative clinical outcomes of total knee arthroplasty (TKA) remains elusive. This study aimed to examine the effect of postoperative CPAK classification phenotypes (I to IX), and their pre- to postoperative changes on patient-reported outcome measures (PROMs).MethodsA questionnaire was administered to 340 patients (422 knees) who underwent primary TKA for osteoarth

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Girolami, Antonio, Maria Teresa Sartori, and Paolo Simioni. "AN UPDATED CLASSIFICATION OF FACTOR XIII DEFECT." British Journal of Haematology 77, no. 4 (2008): 565–66. http://dx.doi.org/10.1111/j.1365-2141.1991.tb08629.x.

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KOHLER, H. P., A. ICHINOSE, R. SEITZ, R. A. S. ARIENS, and L. MUSZBEK. "Diagnosis and classification of factor XIII deficiencies." Journal of Thrombosis and Haemostasis 9, no. 7 (2011): 1404–6. http://dx.doi.org/10.1111/j.1538-7836.2011.04315.x.

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Hume, Terry M., Ton Snelder, Mark Weatherhead, and Rick Liefting. "A controlling factor approach to estuary classification." Ocean & Coastal Management 50, no. 11-12 (2007): 905–29. http://dx.doi.org/10.1016/j.ocecoaman.2007.05.009.

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Camiz, S., J. Denimal, and V. Pillar. "Hierarchical factor classification of variables in ecology." Community Ecology 7, no. 2 (2006): 165–79. http://dx.doi.org/10.1556/comec.7.2006.2.4.

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Elliott, Robert, David Greenaway, and Robert Hine. "Tests for factor homogeneity and industry classification." Review of World Economics 136, no. 2 (2000): 355–71. http://dx.doi.org/10.1007/bf02707692.

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12

Shanmugapriya, Dr V. "BREAST CANCER EPIDEMIOLOGY, CLASSIFICATION AND RISK FACTOR." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–6. https://doi.org/10.55041/isjem02339.

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Breast cancer remains one of the leading causes of cancer-related morbidity and mortality worldwide. This journal explores the latest advancements in breast cancer research, covering key areas such as epidemiology, risk factors, early detection methods, molecular and genetic influences, novel treatment approaches, and patient care strategies. Emphasis is placed on innovative diagnostic tools, targeted therapies, and personalized medicine, which have significantly improved survival rates and treatment outcomes.

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Grotkamp, Sabine, Wolfgang Cibis, Silke Brüggemann, et al. "Personal factors classification revisited: A proposal in the light of the biopsychosocial model of the World Health Organization (WHO)." Australian Journal of Rehabilitation Counselling 26, no. 2 (2020): 73–91. http://dx.doi.org/10.1017/jrc.2020.14.

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AbstractIn 2010, we proposed a personal factor classification which was published in this journal. Since then, the International Classification of Functioning, Disability and Health (ICF) of the World Health Organization (WHO) and the biopsychosocial model were increasingly incorporated into the German Social Law Code for participation and rehabilitation, implying that personal factors are indispensable for individual assessments. For the present study, we aimed to come up with an updated version of the personal factors classification based on current research. To achieve this goal, we employe

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Edmonds, Rohan, Brad Schmidt, and Jacob Siedlik. "Eligibility Classification as a Factor in Understanding Student-Athlete Responses to Collegiate Volleyball Competition." Sports 9, no. 3 (2021): 43. http://dx.doi.org/10.3390/sports9030043.

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The current study examined differences in heart rate variability (HRV) across student-athletes of different eligibility classifications and analyzed differences in HRV when competing at home or away. Fourteen female collegiate volleyball players volunteered for the study. Data collection encompassed an entire collegiate season, with comparisons in HRV made between home and away games, as well as pre-gameday, gameday, and post-gameday recordings for the whole squad. Comparisons were also made between student-athlete eligibility classification, with self-reported measures of sleep quality, fatig

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Patel, Nilanchal, and Brijesh Kaushal. "Classification of features selected through Optimum Index Factor (OIF) for improving classification accuracy." Journal of Forestry Research 22, no. 1 (2011): 99–105. http://dx.doi.org/10.1007/s11676-011-0133-4.

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16

Pavuluri, Mani N., and Siu-Luen Luk. "Recognition and Classification of Psychopathology in Preschool Children." Australian & New Zealand Journal of Psychiatry 32, no. 5 (1998): 642–49. http://dx.doi.org/10.3109/00048679809113118.

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Objective: The aim of this paper is to offer a critical overview of research on preschool psychopathology, and to propose a working classification based on the empirical evidence. Method: All of the existing factor and cluster analytic studies, and those studies that attempted to establish the reliability and validity of the subcategories in preschool behaviour disorder were reviewed. Applicability of the current classifications (DSM-IV and ICD-10) to preschool age was examined. Results: Empirical evidence suggests a well-established, externalising and internalising dichotomy, and a developmen

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Al Obaidi, Ibtisam Hussein. "Histological Classification of Thymoma." Journal of the Faculty of Medicine Baghdad 61, no. 2 (2019): 68–75. http://dx.doi.org/10.32007/jfacmedbagdad.6121261.

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Background: Many thymoma classifications have been followed and have been updated by newer or alternative schemes. Many classifications were based on the morphology and histogenesis of normal thymus as the backbone, while other classifications have followed a more simplified scheme, whereby thymomas were grouped based on biological behavior. The WHO classification is currently the advocated one, which is based on “organotypical” features (i.e. histological characteristics mimicking those observed in the normal thymus) including cytoarchitecture (encapsulation and a “lobular architecture”) and

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Tabakovic, Dejan, Radovan Manojlovic, Marko Kadija, Mihailo Ille, Goran Turkovic, and Zoran Vukasinovic. "Possible factors for ankle fractures." Vojnosanitetski pregled 67, no. 3 (2010): 225–28. http://dx.doi.org/10.2298/vsp1003225t.

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Background/Aim. Classification of ankle fractures is commonly used for selecting an appropriate treatment and prognosing an outcome of definite management. One of the most used classifications is the Danis-Weber classification. To the best of our knowledge, in the available literature, there are no parameters affecting specific types of ankle fractures according to the Danis-Weber classification. The aim of this study was to analyze the correlation of the following parameters: age, body weight, body mass index (BMI), height, osteoporosis, osteopenia and physical exercises with specific types o

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Guan, Shijie, Qixue Guan, and Anqi Yin. "Zero-shot image classification based on factor space." International Journal of Web Engineering and Technology 16, no. 1 (2021): 3. http://dx.doi.org/10.1504/ijwet.2021.115686.

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Aw, Edward N. W., Joshua Jiang, and John Q. Jiang. "Factor Investing with Classification-Based Supervised Machine Learning." Journal of Investing 31, no. 3 (2022): 62–72. http://dx.doi.org/10.3905/joi.2022.1.220.

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21

Freifelder, Leonard R. "Estimation of Classification Factor Relativities: A Modelling Approach." Journal of Risk and Insurance 53, no. 1 (1986): 135. http://dx.doi.org/10.2307/252271.

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22

Girolami, Antonio. "Tentative and Updated Classification of Factor X Variants." Acta Haematologica 75, no. 1 (1986): 58–59. http://dx.doi.org/10.1159/000206084.

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23

Liao, Haibin, Shejie Lu, and Dianhua Wang. "Tied factor analysis for unconstrained face pose classification." Optik 127, no. 23 (2016): 11553–66. http://dx.doi.org/10.1016/j.ijleo.2016.09.048.

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24

Subedi, Sanjeena, Antonio Punzo, Salvatore Ingrassia, and Paul D. McNicholas. "Clustering and classification via cluster-weighted factor analyzers." Advances in Data Analysis and Classification 7, no. 1 (2013): 5–40. http://dx.doi.org/10.1007/s11634-013-0124-8.

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25

Martella, F. "Classification of microarray data with factor mixture models." Bioinformatics 22, no. 2 (2005): 202–8. http://dx.doi.org/10.1093/bioinformatics/bti779.

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26

Varadarajan, P. Rajan. "A two-factor classification of competitive strategy variables." Strategic Management Journal 6, no. 4 (1985): 357–75. http://dx.doi.org/10.1002/smj.4250060405.

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27

Putri Ayu, Aulia, and Lisda Amalia. "The Trial of Org 10172 of Acute Stroke Treatment pada Era Pandemi COVID-19." Jurnal Neuroanestesi Indonesia 12, no. 2 (2023): 74–80. http://dx.doi.org/10.24244/jni.v12i2.530.

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Background and Objective: The Trial of Org 10172 of Acute Stroke Treatment (TOAST) classification was introduced to classify ischemic stroke based on potential etiological mechanisms. The purpose of this study was to assess the characteristics of acute ischemic stroke patients based on the TOAST classification during the COVID-19 pandemic era. Subject and Methods: This research was a descriptive cross-sectional study from the medical records of acute ischemic stroke patients who were treated in Neurology ward of Hasan Sadikin Hospital in 2021. Results: A total of 136 acute ischemic stroke pati

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28

Lee, Young Eal, and Kun Jai Lee. "Study on Development for Classification Factors of Radioactive Substances." Korean Journal of Life Cycle Assessment 2, no. 1 (2000): 43–51. http://dx.doi.org/10.62765/kjlca.2000.2.1.43.

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Limitation associated with classification factor of radioactive substance based on the critical volume approach is analysed and the classification factors of radioactive substances are developed using the concept of radiation protection and radiological risk model. To calculate the classification factor of radioactive substance, information on the concentration of radionuclides in medium, the length of exposure period, and average usage rate of medium by population are necessary. The classification factor of radioactive substance developed is age and gender specific and considers both of expos

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Jungbauer, Frederic, Claudia Scherl, Nicole Rotter, et al. "C-Reactive Protein Kinetic as a Potential Predictive and Prognostic Factor during Treatment with Checkpoint Inhibitors in R/M-HNSCC." Cancers 16, no. 13 (2024): 2424. http://dx.doi.org/10.3390/cancers16132424.

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Introduction The kinetic of C-reactive protein (CRP) in the early phase of therapy with checkpoint inhibitors (CPI) and its prognostic value has already been investigated in several tumor entities. In particular, flare dynamics have been described as a positive prognostic parameter. The aim of this retrospective study is to examine the extent to which such an application can also be transferred to patients with recurrent or metastatic squamous cell carcinoma of the head and neck region (R/M-HNSCC). Material and Methods All patients treated with CPI for R/M-HNSCC at our clinic between 2018 and

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Wang, Mei, Pai Wang, Jzau-Sheng Lin, Xiaowei Li, and Xuebin Qin. "Nonlinear Inertia Classification Model and Application." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/987686.

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Classification model of support vector machine (SVM) overcomes the problem of a big number of samples. But the kernel parameter and the punishment factor have great influence on the quality of SVM model. Particle swarm optimization (PSO) is an evolutionary search algorithm based on the swarm intelligence, which is suitable for parameter optimization. Accordingly, a nonlinear inertia convergence classification model (NICCM) is proposed after the nonlinear inertia convergence (NICPSO) is developed in this paper. The velocity of NICPSO is firstly defined as the weighted velocity of the inertia PS

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Ishkov, Alexander D., and Tatyana V. Bernyukevich. "EFFECTIVE USE OF THE ORGANIZATION’S PERSONNEL AS A FACTOR IN INCREASING LABOR PRODUCTIVITY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 8/1, no. 149 (2024): 196–204. http://dx.doi.org/10.36871/ek.up.p.r.2024.08.01.021.

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Labor productivity is a significant factor in the success of organizations, and the effective use of personnel is one of the promising ways to increase productivity: the proper use of the labor potential of employees, including psychophysiological, intellectual and socio-personal aspects, allows to maximize the abilities of personnel and increase their contribution to the achievement of organizational goals. Various personality typologies, primarily those of C.G. Jung and his followers, have been widely used in personnel management since the middle of the last century. In this case, the biolog

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Nault, Jean Charles, and Jessica Zucman Rossi. "Molecular Classification of Hepatocellular Adenomas." International Journal of Hepatology 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/315947.

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Hepatocellular adenomas (HCAs) are benign tumors developed in normal liver most frequently in women before menopause. HCAs lead to diagnostic pitfalls and several difficulties to assess the risk of malignant transformation in these young patients. Recent advances in basic knowledge have revealed a molecular classification related to risk factors, pathological features, and risk of transformation in hepatocellular carcinoma. Three major molecular pathways have been identified altered in specific HCA subgroups that are defined by either (1) inactivation of hepatocyte nuclear factor 1A (HNF1A) tr

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33

Wang, Qiang. "Review of Classification and Prevention of Subgrade Defects." Journal of Engineering Research and Reports 25, no. 11 (2023): 135–41. http://dx.doi.org/10.9734/jerr/2023/v25i111028.

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Subgrade defects classification is one of the important means for highway management and maintenance departments to prevent and reduce disaster, and it is also the basis for using engineering analogy methods to prevent subgrade defects. For this reason, firstly, subgrade defects are divided into slope defects and subgrade subsidence defects according to the definition. and the existing subgrade defects classification methods are divided into single-factor index classification method and multi-factor index classification method, and through comparison, it is concluded that the multi-factor inde

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Tseng, Serena, Mu-En Lee, and Pei-Chin Lin. "A Review of Childhood Acute Myeloid Leukemia: Diagnosis and Novel Treatment." Pharmaceuticals 16, no. 11 (2023): 1614. http://dx.doi.org/10.3390/ph16111614.

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Acute myeloid leukemia (AML) is the second most common hematologic malignancy in children. The incidence of childhood AML is much lower than acute lymphoblastic leukemia (ALL), which makes childhood AML a rare disease in children. The role of genetic abnormalities in AML classification, management, and prognosis prediction is much more important than before. Disease classifications and risk group classifications, such as the WHO classification, the international consensus classification (ICC), and the European LeukemiaNet (ELN) classification, were revised in 2022. The application of the new i

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35

SATO, RYOSUKE. "Type classification of extreme quantized characters." Ergodic Theory and Dynamical Systems 41, no. 2 (2019): 593–605. http://dx.doi.org/10.1017/etds.2019.58.

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The notion of quantized characters was introduced in our previous paper as a natural quantization of characters in the context of asymptotic representation theory for quantum groups. As in the case of ordinary groups, the representation associated with any extreme quantized character generates a von Neumann factor. From the viewpoint of operator algebras (and measurable dynamical systems), it is natural to ask what is the Murray–von Neumann–Connes type of the resulting factor. In this paper, we give a complete solution to this question when the inductive system is of quantum unitary groups $U_

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Girolami, Antonio, Paola Simioni, and Grazia Ruzza. "The Classification of Congenital Factor X Deficiency and Abnormalities." Annals of Saudi Medicine 10, no. 2 (1990): 218–20. http://dx.doi.org/10.5144/0256-4947.1990.218.

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37

Voronina, Maria Yurievna, Alexey Alexeevich Kislitsyn, and Yurii Nikolaevich Orlov. "Two-factor patterns construction in problems of texts classification." Keldysh Institute Preprints, no. 43 (2022): 1–24. http://dx.doi.org/10.20948/prepr-2022-43.

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Two-factor patterns of empirical distributions of bigram frequencies for machine classification of texts by authors and subject are constructed. Text attributes are recognized by the nearest neighbor method in relation to reference distributions. The proximity between distributions is understood in the sense of the norm in L1. The "author-topic" pair of an unknown text is defined as a nearest neighbor pattern. The problem of recognizing the author regardless of the topic of the text and the topic regardless of the author is analyzed. The possibilities of enlarging and detailing classification

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38

Parthiban, Latha, S. Sahunthala, and Angelina Geetha. "XML document classification effectively using improved high-performance factor." International Journal of Engineering Systems Modelling and Simulation 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijesms.2022.10044365.

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39

Leśniak, A. "Classification of the Bid/No Bid Criteria – Factor Analysis." Archives of Civil Engineering 61, no. 4 (2015): 79–90. http://dx.doi.org/10.1515/ace-2015-0037.

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Abstract For the construction company, tendering is the most popular way of acquiring contracts. The decision to participate in the tender needs to be made carefully, as it affects the condition of the company and is an important aspect in its quest for success. The bid/no bid decision making is a complex process involving a number of factors. The research carried out so far has mainly concerned the identification of the various kinds of influences on contractors’ bidding decisions. The researchers, on the basis of contractors’ opinions, created rank lists in an attempt to categorize the facto

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40

Ivy, Julie Simmons, and Stephen M. Pollock. "Classification of spot welds using power factor time profiles." International Journal of Production Research 39, no. 3 (2001): 549–66. http://dx.doi.org/10.1080/00207540150504340.

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41

Mindell, Jodi A., and Frank Andrasik. "Headache Classification and Factor Analysis with a Pediatric Population." Headache: The Journal of Head and Face Pain 27, no. 2 (1987): 96–101. http://dx.doi.org/10.1111/j.1526-4610.1987.hed2702096.x.

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42

Nguyen, Kieu Anh, and Walter Chen. "Enhancing Cover Management Factor Classification Through Imbalanced Data Resolution." Environments 11, no. 11 (2024): 250. http://dx.doi.org/10.3390/environments11110250.

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This study addresses the persistent challenge of class imbalance in land use and land cover (LULC) classification within the Shihmen Reservoir watershed in Taiwan, where LULC is used to map the Cover Management factor (C-factor). The dominance of forests in the LULC categories leads to an imbalanced dataset, resulting in poor prediction performance for minority classes when using machine learning techniques. To overcome this limitation, we applied the Synthetic Minority Over-sampling Technique (SMOTE) and the 90-model SMOTE-variants package in Python to balance the dataset. Due to the multi-cl

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Clark, Kelly N., Grace Blyth, Meagan Plant, Kyle Wilson, and Christine K. Malecki. "Dual-factor mental health in adolescence: Comparing classification methods." Journal of School Psychology 107 (December 2024): 101391. http://dx.doi.org/10.1016/j.jsp.2024.101391.

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44

Popa, Sorin, Dimitri Shlyakhtenko, and Stefaan Vaes. "Classification of regular subalgebras of the hyperfinite II1 factor." Journal de Mathématiques Pures et Appliquées 140 (August 2020): 280–308. http://dx.doi.org/10.1016/j.matpur.2020.02.009.

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Qi, Fei, Satoshi Fudo, Saburo Neya, and Tyuji Hoshino. "A Dominant Factor for Structural Classification of Protein Crystals." Journal of Chemical Information and Modeling 55, no. 8 (2015): 1673–85. http://dx.doi.org/10.1021/acs.jcim.5b00052.

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Nam, Wonwoo, and Byung Wook Kim. "Deep Learning based Depression Classification using Environmental Factor Selection." Transactions of The Korean Institute of Electrical Engineers 69, no. 7 (2020): 1102–10. http://dx.doi.org/10.5370/kiee.2020.69.7.1102.

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Steane, Michelle A., Paul D. McNicholas, and Rickey Y. Yada. "Model-Based Classification via Mixtures of Multivariatet-Factor Analyzers." Communications in Statistics - Simulation and Computation 41, no. 4 (2011): 510–23. http://dx.doi.org/10.1080/03610918.2011.595984.

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Jhangeer, Adil, M. Farasat Shamir, Tayyaba Naz, and Nazish Iftikhar. "Classification of Cosmic Scale Factor via Noether Gauge Symmetries." International Journal of Theoretical Physics 54, no. 7 (2014): 2343–53. http://dx.doi.org/10.1007/s10773-014-2456-3.

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Sahunthala, S., Angelina Geetha, and Latha Parthiban. "XML document classification effectively using improved high-performance factor." International Journal of Engineering Systems Modelling and Simulation 14, no. 3 (2023): 117–24. http://dx.doi.org/10.1504/ijesms.2023.131788.

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López-Silva, Maiquel, Hernández Dayma Sadami Carmenates, Nancy Delgado-Hernández, and Bereche Nataly Noelia Chunga. "Explicit pipe friction factor equations: evaluation, classification, and proposal." Revista Facultad de Ingeniería, Universidad de Antioquia, no. 111 (October 9, 2023): 38–47. https://doi.org/10.17533/udea.redin.20230928.

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The Colebrook equation has been used to estimate the friction factor (<em>f</em>) in turbulent fluids. In this regard, many equations have been proposed to eliminate the iterative process of the Colebrook equation. The goal of this article was to perform an evaluation, classification, and proposal of the friction factor for better development of hydraulic projects. In this study, Gene Expression Programming (GEP), Newton-Raphson, and Python algorithms were applied. The accuracy and model selection were performed with the Maximum Relative Error (∆<em>f/f</em>), Percentage Standard Deviation (PS

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