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Relevant bibliographies by topics / Factor classification

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Academic literature on the topic 'Factor classification'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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Journal articles on the topic "Factor classification"

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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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Dissertations / Theses on the topic "Factor classification"

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GOYAL, DEVENDRA. "EVALUATING WORK-FACTOR CLASSIFICATION SYSTEM." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin990816550.

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Andersson, Simon. "Trust as a factor in the information classification process." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85775.

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Risk management is an important part of every business. In order to properly conduct it, risk assessment and within it, information classification is needed. The information classification produces a list of information assets and states how they are valued within the organization. That is then used as an important part of the risk assessment process. In order to conduct such a valuation, users are consulted as they often times understand the value of information. However, using the CIA-Triad when communicating has proved to be difficult for users not knowledgeable in information security. Tru

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Funai, Tomohiko. "Extensions of Nearest Shrunken Centroid Method for Classification." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2402.

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Stylometry assumes that the essence of the individual style of an author can be captured using a number of quantitative criteria, such as the relative frequencies of noncontextual words (e.g., or, the, and, etc.). Several statistical methodologies have been developed for authorship analysis. Jockers et al. (2009) utilize Nearest Shrunken Centroid (NSC) classification, a promising classification methodology in DNA microarray analysis for authorship analysis of the Book of Mormon. Schaalje et al. (2010) develop an extended NSC classification to remedy the problem of a missing author. Dabney (200

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Key, Barbara A. "Five Whys Root Cause System Effectiveness: A Two Factor Quantitative Review." TopSCHOLAR®, 2019. https://digitalcommons.wku.edu/theses/3098.

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Several tools exist for root cause analysis (RCA). Despite this however, many practitioners are not obtaining the quality improvement desired. Those turning to literature for guidance would find most of the information resides in case studies with anecdotal outcomes. Since 5 Whys analysis has been one of the more pervasive tools in use, this study sought to add to the root cause analysis body of knowledge by investigating tool support factors. While studied in conjunction with 5 Whys, the support variables lend themselves to other root cause analysis tools as well. The purpose of the study was

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Tricot, Michel. "A propos de quelques applications de la classification automatique." Université Joseph Fourier (Grenoble ; 1971-2015), 1986. http://www.theses.fr/1986GRE10077.

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Ce travail montre trois exemples d'applications originales de la Classification automatique. Un, concerne la gestion de systèmes informatiques, un autre, les micro-circuits, le dernier, les essais thérapeutiques. Une description complète est donnée des algorithmes «pseudo-hiérarchique» utilisée, que nous avons appelés «Algorithmes de percolation généralisés». Finalement, une étude critique de la validité des résultats est proposée

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Kordogly, Rima. "The classification patterns of bank financial ratios." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6815.

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Financial ratios are key units of analysis in most quantitative financial research including bankruptcy prediction, performance and efficiency analysis, mergers and acquisitions, and credit ratings, amongst others. Since hundreds of ratios can be computed using available financial data and given the substantial overlap in information provided by many of these ratios, choosing amongst ratios has been a significant issue facing practitioners and researchers. An important contribution of the present thesis is to show that ratios can be arranged into groups where each group describes a separate fi

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Gross, Brandi Nicole. "Input of Factor Graphs into the Detection, Classification, and Localization Chain and Continuous Active SONAR in Undersea Vehicles." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56609.

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The focus of this thesis is to implement factor graphs into the problem of detection, classification, and localization (DCL) of underwater objects using active SOund Navigation And Ranging (SONAR). A factor graph is a bipartite graphical representation of the decomposition of a particular function. Messages are passed along the edges connecting factor and variable nodes, on which, a message passing algorithm is applied to compute the posterior probabilities at a particular node. This thesis addresses two issues. In the first section, the formulation of factor graphs for each section of the

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Arabanian, Laleh Sadat. "Role of NFAT (Nuclear Factor of Activated T Cells) Transcription Factors in Hematopoiesis." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-99739.

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Understanding the transcriptional mechanisms that control hematopoiesis and the interaction between hematopoietic stem cells and the bone marrow (BM) microenvironment in vivo is of considerable interest. The calcineurin-dependent transcription factor NFAT (Nuclear Factor of Activated T cells) is known as master regulator of cytokine production in T lymphocytes and therefore central for T cell-dependent immune reactions, but has also been shown to regulate a process of differentiation and tissue adaptation in various cell types. The activation of NFAT is dependent on the calcium level within th

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Schnell, Sondre Kvalvåg, Thijs J. H. Vlugt, Jean-Marc Simon, Signe Kjelstrup, and Dick Bedeaux. "Direct calculation of the thermodynamic correction factor, gamma, from molecular dynamics simulations." Diffusion fundamentals 16 (2011) 72, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13814.

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Zhang, Ye. "On The Importance of Light Source Classification in Indoor Light Energy Harvesting." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34414.

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Indoor light energy harvesting plays an important role in field of renewable energy. Indoor lighting condition is usually described by level of illumination. However, measured data alone does not by classification of different light sources, result is not representative. Energy harvesting system needs to be evaluated after classification to obtain more accurate value. This is also importance of different light source classification. In this thesis, a complete set of indoor light energy harvesting system is introduced, two models are proposed to evaluate energy, robustness is improved by mixing

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Books on the topic "Factor classification"

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L, Lenskiĭ A., ed. Uskorennoe reshenie zadach klassifika͡tsii v faktornom prostranstve bez poteri tochnosti. V͡TS AN SSSR, 1990.

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Tidball, Ronald R. Geography of soil geochemistry of Missouri agricultural soils ; Geochemical classification by factor analysis of Missouri agricultural soils. U.S. Dept. of the Interior, Geological Survey, 1985.

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Mukherji, Shekhar. Functional classification of Indian towns by factor-cluster method, 1981 and 1991. International Institute for Population Sciences, 1994.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards., ed. FIRE version 5.0 source classification codes and emission factor listing for criteria air pollutants. Office of Air Quality Planning and Standards, Office of Air and Radiation, U.S. Environmental Protection Agency, 1995.

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T, Costa Paul, and Widiger Thomas A, eds. Personality disorders and the five-factor model of personality. American Psychological Association, 1994.

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Book chapters on the topic "Factor classification"

1

Giroux, Élodie. "Risk Factor and Causality in Epidemiology." In Classification, Disease and Evidence. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8887-8_9.

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Corazziari, Isabella. "Dynamic Factor Analysis." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60126-2_22.

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Cavicchia, Carlo, and Maurizio Vichi. "Building Hierarchies of Factors with Disjoint Factor Analysis." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54468-2_1.

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Berger, Paul D., Robert E. Maurer, and Giovana B. Celli. "Two-Factor Cross-Classification Designs." In Experimental Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64583-4_6.

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Bavaud, François. "Generalized Factor Analyses for Contingency Tables." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_56.

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Hamilton, M., J. Hughes, and M. Hill. "Symptom Patterns in Schizophrenia A Factor-Analytic Study." In Clinical Psychopathology Nomenclature and Classification. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-5049-9_80.

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Crocker, R. L. "The Plant Factor in Soil Formation." In Selected Papers in Soil Formation and Classification. Soil Science Society of America, Inc., 2015. http://dx.doi.org/10.2136/sssaspecpub1.c16.

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Dlugosz, Stephan. "Factor Selection in Observational Studies – An Application of Nonlinear Factor Selection to Propensity Scores." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10745-0_39.

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Coppi, R., and P. D’Urso. "The Dual Dynamic Factor Analysis Models." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55991-4_5.

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Strahl, Danuta, and Józef Dziechciarz. "Study Major Choice — Factor Preference Measurement." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60187-3_51.

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Conference papers on the topic "Factor classification"

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Febrianti, Asterina, Riki Handriansah, and Hardianto Iridiastadi. "Contributing Factors of Truck Crashes in Indonesia: Human Factor and Classification System (HFACS)." In 2024 IEEE 6th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS). IEEE, 2024. https://doi.org/10.1109/ecbios61468.2024.10885496.

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Giovanni, Dwi, Favian Dewanta, and Levy Olivia Nur. "Spreading Factor Classification In Lora Communication Based on Machine Learning." In 2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2024. https://doi.org/10.1109/comnetsat63286.2024.10861922.

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Dewi, Demara Hediana, Achmad Choiruddin, and Desak Gede Agung Suprabawati. "Exploring Breast Cancer Risk Factor Through Machine Learning Algorithm: Random Forest Classification." In 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2025. https://doi.org/10.1109/icaiic64266.2025.10920739.

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Yusuf, Latifa, Ashwin Shejwalkar, and Ilamparithi Thirumarai-Chelvan. "Effect of Power Factor of a Synchronous Machine on Eccentricity Faults Classification Accuracies." In 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2024. http://dx.doi.org/10.1109/ccece59415.2024.10667158.

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Mandavalli, Satish. "Factor-based Trading Strategy for Index Rebalancing: Predicting Abnormal Returns using Logistic Classification." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11041962.

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Yadav, Sameer, J. Sharmila Joseph, Mayank Nagar, Vidyabharathi Dakshinamurthi, Usha M, and Vedant Dubey. "Optimized BIGRU-Attention Network for OSA and Cardiovascular Disease Prediction with Risk Factor Classification." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911218.

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Yoanda, Yurika Prisilia, and Cutifa Safitri. "An Optimization of Classification Algorithms for Detecting Unauthorized Logins in Multi-Factor Authentication Environments." In 2024 7th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2024. https://doi.org/10.1109/isriti64779.2024.10963582.

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Das, Kaushik, and Moumita Saha. "Tunable Q-factor Wavelet Transform Based Features for Classification of Emotions Using EEG Signals." In 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T). IEEE, 2025. https://doi.org/10.1109/icpc2t63847.2025.10958579.

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Bozhchenko, Alexandr, and Sergey Semenov. "On the classification of damaging factors in forensic medicine." In Issues of determining the severity of harm caused to human health as a result of the impact of a biological factor. Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/conferencearticle_5fdcb03a403b58.93332884.

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The article considers the disadvantages of modern forensic classifications of damaging factors. Attention is drawn to the fact that the mental damaging factor undoubtedly exists, but the assessment of its specific role in the formation of “damage” is the subject of forensic psychiatry, which is an independent medical discipline. The social factor mainly affects the behavior of an individual (population group), but its specific features are also not evaluated by methods and techniques of forensic medicine. There is a discrepancy between general and particular classifications — in particular, th

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Wang, Ying, Fanhui Zeng, Hui Sun, Xiaotong Liu, Kaile Lin, and Kaijie Zhang. "Factor Implicit Model of Machine Classification Learning Based on Factor Space Theory." In IS4SI Summit 2023. MDPI, 2023. http://dx.doi.org/10.3390/cmsf2023008074.

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Reports on the topic "Factor classification"

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Barros-Poblete, Marisol, Rodrigo Torres-Castro, Mauricio Henríquez, Anita Guequen, Isabel Blanco, and Carlos Flores. Dysbiosis as a prognostic factor for clinical worsening in chronic respiratory disease: A systematic review and metanalysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.4.0089.

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Review question / Objective: Is dysbiosis a prognostic factor for clinical worsening in patients with chronic respiratory diseases?. Condition being studied: Dysbiosis, defined as changes in the quantitative and qualitative composition of the microbiota. Eligibility criteria: Over 18 years old adult patients with chronic respiratory diseases clinical diagnosis (cystic fibrosis, chronic obstructive pulmonary disease, asthma, idiopathic pulmonary fibrosis, interstitial lung disease, sarcoidosis, bronchiectasis, non-CF bronchiectasis, pulmonary hypertension) according to the International Statist

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Zhai, Fan, Thomas Hertel, and Zhi Wang. Labor Market Distortions, Rural-Urban Inequality and the Opening of China’s Economy. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp27.

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This paper evaluates the impact of some key labor market reforms on rural-urban inequality and income distribution, using a household-disaggregated, recursive dynamic computable general equilibrium (CGE) model of China. We also explore how these factor market reforms interact with product market reforms currently underway as part of China’s WTO accession process. The simulation results show that the reforms in rural land rental market and Hukou system, as well as increasing off-farm labor mobility would reduce the urban-rural income ratio dramatically. Furthermore, the combination of WTO acces

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ตั้งกิจวานิชย์, พิสิฐ. บทบาทของตัวบ่งชี้ทางระบบภูมิคุ้มกันที่เกี่ยวข้องกับการรักษาด้วยยาต้านไวรัสและการเกิดมะเร็งตับในผู้ป่วยที่ติดเชื้อไวรัสตับอักเสบบีแบบเรื้อรัง : รายงานการวิจัย. จุฬาลงกรณ์มหาวิทยาลัย, 2017. https://doi.org/10.58837/chula.res.2017.14.

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B-cell activating factor (BAFF) เป็น cytokine ที่สำคัญในการกระตุ้นเซลล์เม็ดเลือดขาวชนิด B cell ที่เกี่ยวข้องกับการเกิดไวรัสตับอักเสบบี แต่อย่างไรก็ตามบทบาทของ BAFF ในผู้ป่วยมะเร็งตับที่เกิดจากการติดเชื้อไวรัสตับอักเสบบียังไม่ทราบแน่ชัด การศึกษานี้จึงมีวัตถุประสงค์ในการตรวจวัดระดับ BAFF ในพลาสมาและหาความสัมพันธ์กับความหลากหลายทางพันธุกรรมบนยีน BAFF rs9514828 และ rs12583006 และการทำนายและพยากรณ์ความรุนแรงของโรค โดยตรวจวัดระดับของ BAFF ในพลาสมาของผู้ที่มีสุขภาพดีกลุ่มควบคุม 100 คน กลุ่มผู้ป่วยที่มีการติดเชื้อไวรัสตับอักเสบบี 290 คน และกลุ่มผู้ป่วยมะเร็งตับจากการติดเชื้อไวรัสตับอักเสบบี 200 คน ผลก

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ตั้งกิจวานิชย์, พิสิฐ. บทบาทของตัวบ่งชี้ทางระบบภูมิคุ้มกันที่เกี่ยวข้องกับการรักษาด้วยยาต้านไวรัสและการเกิดมะเร็งตับในผู้ป่วยที่ติดเชื้อไวรัสตับอักเสบบีแบบเรื้อรัง : รายงานการวิจัย. จุฬาลงกรณ์มหาวิทยาลัย, 2018. https://doi.org/10.58837/chula.res.2018.29.

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B-cell activating factor (BAFF) เป็น cytokine ที่สำคัญในการกระตุ้นเซลล์เม็ดเลือดขาวชนิด B cell ที่เกี่ยวข้องกับการเกิดไวรัสตับอักเสบบี แต่อย่างไรก็ตามบทบาทของ BAFF ในผู้ป่วยมะเร็งตับที่เกิดจากการติดเชื้อไวรัสตับอักเสบบียังไม่ทราบแน่ชัด การศึกษานี้จึงมีวัตถุประสงค์ในการตรวจวัดระดับ BAFF ในพลาสมาและหาความสัมพันธ์กับความหลากหลายทางพันธุกรรมบนยีน BAFF rs9514828 และ rs12583006 และการทำนายและพยากรณ์ความรุนแรงของโรค โดยตรวจวัดระดับของ BAFF ในพลาสมาของผู้ที่มีสุขภาพดีกลุ่มควบคุม 100 คน กลุ่มผู้ป่วยที่มีการติดเชื้อไวรัสตับอักเสบบี 290 คน และกลุ่มผู้ป่วยมะเร็งตับจากการติดเชื้อไวรัสตับอักเสบบี 200 คน ผลก

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Tian, Cong, Jianlong Shu, Wenhui Shao, Zhengxin Zhou, Huayang Guo та Jingang Wang. The efficacy and safety of IL Inhibitors, TNF-α Inhibitors, and JAK Inhibitor on ankylosing spondylitis: A Bayesian network meta-analysis of a “randomized, double-blind, placebo-controlled” trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0117.

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Review question / Objective: In this study, we conducted a Bayesian network meta-analysis to evaluate the efficacy and safety of interleukin (IL) inhibitors, tumor necrosis factor-alpha (TNF-α) inhibitors, and Janus kinase (JAK) inhibitors on ankylosing spondylitis (AS).The purpose of this study is to compare the effectiveness and safety of different interventions for treating AS to provide insights into the decision-making in clinicalpractice. Condition being studied: Ankylosing spondylitis. Based on the Bayesian hierarchical model, we conducted a network meta-analysis using the gemtc package

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Aiken, Catherine. Classifying AI Systems. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200025.

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This brief explores the development and testing of artificial intelligence system classification frameworks intended to distill AI systems into concise, comparable and policy-relevant dimensions. Comparing more than 1,800 system classifications, it points to several factors that increase the utility of a framework for human classification of AI systems and enable AI system management, risk assessment and governance.

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Berry, Miriam. Some factors influencing case classification in a public welfare agency. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.232.

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Eichengreen, Barry, and Raul Razo-Garcia. How Reliable are De Facto Exchange Rate Regime Classifications? National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17318.

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Walsh, Daniel C., and Adrian E. Raftery. Classification of Mixtures of Spatial Point Processes via Partial Bayes Factors. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada459757.

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Wilkowski, Maxey, and Eiber. L51705 Cyclic Pressure Fatigue Life of Pipelines with Plain Dents Dents with Gouges and Dents with Welds. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010606.

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Research has been conducted to study the effects of dents, gouges, and weld seams on pipelines under cyclic internal pressure loading. The work associated with this project has involved both experimental and finite element analysis on pipes with D/t ratios from 19 to 94 experimentally and 18 to 100 theoretically. In support of this research, operators were surveyed regarding the expected dent shapes and failures that had occurred as a result of pipeline dents. The experimental portion of the work involved pipes (one 24" and several 12" NPS pipes) with controlled dents which were combined with

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