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Journal articles on the topic 'Classificaton'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Dozic, Slobodan, Dubravka Cvetkovic-Dozic, Milica Skender-Gazibara, and Branko Dozic. "Review of the World Health Organization classification of tumors of the nervous system." Archive of Oncology 10, no. 3 (2002): 175–77. http://dx.doi.org/10.2298/aoo0203175d.

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(Conclusion) Classifications of the nervous system tumors should be neither static nor definitive. The most recent, third, current WHO classification of nervous system tumors was published in 2000. Many substantial changes were introduced. New entities include the chordoid glioma of the third ventricle, the atypical teratoid/rhabdoid tumor, cerebellar liponeurocytoma (the former lipomatous medulloblstoma of the cerebellum), solitary fibrous tumor and perineurioma. The new tumor variants include the large cell medulloblastoma, tanacytic ependymoma and rhabdoid meningioma. Several essential changes were introduced in the meningiomas regarding histological subtypes, grading and proliferation index. In addition to new entities described in the 2000 WHO classification there are newly brain tumor entities and tumor variants, which are not included in the current classification due to the insufficient number of reporeted cases, for example papillary glioneuronal tumor, rosetted glioneuronal tumor, lipoastrocytoma and lipomatous meningioma. They will be probably accepted in the next WHO classificaton. In the current WHO classification the importance of cytogenetic and molecular biologic investigation in the understanding and further classifications of these tumors has been emphasized.

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PRATALI, RAPHAEL DE REZENDE, LUIZ EDUARDO MOREIRA PASSOS, CARLOS EDUARDO ALGAVES SOARES DE OLIVEIRA, and CARLOS FERNANDO P. S. HERRERO. "SPINOPELVIC VARIABILITY ACCORDING TO THE ROUSSOULY CLASSIFICATON CURVE TYPE." Coluna/Columna 19, no. 2 (June 2020): 112–15. http://dx.doi.org/10.1590/s1808-185120201902224176.

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ABSTRACT Objective To evaluate the variability of spinopelvic sagittal parameters and the distribution of lordosis in the lumbar spine in a sample of patients. Methods This is a cross-sectional study considering full-spine radiographs of a patient sample. The patients were classified according to the Roussouly classification and both radiographic spinopelvic alignment parameters and the lordosis measurement of each lumbar spinal segment were considered. The radiographic parameters were correlated with the Roussouly classification type. Results Ninety patients were included in the study. There was significant correlation between pelvic incidence (PI) and lumbar lordosis (LL) (R=0.89; p<0.0001). The values of PI were significantly higher in Roussouly types 3 and 4 than in types 1 and 2 (p<0.001), as were the values of LL L1-S1(p<0.001). Considering the total sample, 67% of LL L1-S1 was located between L4-S1, but with variations by the Roussouly classification curve types. Conclusion This study demonstrated a high correlation between the values of PI and LL, as well as the importance of the distal lumbar segment (L4-S1) in the overall value of LL L1-S1, which was even higher in patients with a lower PI value (Roussouly types 1 and 2). Level of evidence II; Retrospective analysis of a prospective database (Cohort); Diagnostic study.

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Manthorpe, Rolf, Peter Oxholm, Jan Ulrik Prause, and Morten Schi ΦoSdt. "Sjö syndrome: comments on the proposed crieteria for classificaton." Arthritis & Rheumatism 30, no. 8 (August 1987): 954–55. http://dx.doi.org/10.1002/art.1780300820.

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Mouzyka, Serguei, and Alexandra Fedoseeva. "Chromoendoscopy with hematoxylin in the classificaton of gastric lesions." Gastric Cancer 11, no. 1 (March 2008): 15–22. http://dx.doi.org/10.1007/s10120-007-0445-4.

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BÁLYA, DÁVID. "CNN UNIVERSAL MACHINE AS CLASSIFICATON PLATFORM: AN ART-LIKE CLUSTERING ALGORITHM." International Journal of Neural Systems 13, no. 06 (December 2003): 415–25. http://dx.doi.org/10.1142/s0129065703001807.

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Fast and robust classification of feature vectors is a crucial task in a number of real-time systems. A cellular neural/nonlinear network universal machine (CNN-UM) can be very efficient as a feature detector. The next step is to post-process the results for object recognition. This paper shows how a robust classification scheme based on adaptive resonance theory (ART) can be mapped to the CNN-UM. Moreover, this mapping is general enough to include different types of feed-forward neural networks. The designed analogic CNN algorithm is capable of classifying the extracted feature vectors keeping the advantages of the ART networks, such as robust, plastic and fault-tolerant behaviors. An analogic algorithm is presented for unsupervised classification with tunable sensitivity and automatic new class creation. The algorithm is extended for supervised classification. The presented binary feature vector classification is implemented on the existing standard CNN-UM chips for fast classification. The experimental evaluation shows promising performance after 100% accuracy on the training set.

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Eki, Ziya, Akif Akgl, and Mehmet Recep Bozkurt. "The Classificaton of EEG Signals Recorded in Drunk and Non-Drunk People." International Journal of Computer Applications 68, no. 10 (April 18, 2013): 40–44. http://dx.doi.org/10.5120/11619-7018.

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7

Bhatt, Mittal, Vishal Dahiya, and Arvind K. Singh. "A Comparative Analysis of Classificaton methods for Diagnosis of Lower Back Pain." Oriental journal of computer science and technology 11, no. 2 (June 7, 2018): 135–39. http://dx.doi.org/10.13005/ojcst11.02.09.

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In this paper different classification methods are compared using base and meta(Combination of Multiple Classifier for training) level classifiers, for the fruitful diagnosis of Lower Back Pain. The Lower Back Pain becomes chronic with age, so needs to be correctly diagnose with symptoms in the early age. Five independent classifiers were implemented at base level and meta level. At meta level, five combinations of different classifiers were implemented, using voting technique. According to the scores, the overall classification using Naïve Bayes and Multilayer Perceptron got the maximum efficiency 83.87%. The purpose of this paper is to diagnose healthy individuals efficiently. To carry out study the Lower Back Pain Symptoms Dataset is used from very famous platform for predictive modeling, Kaggle. The experiments were carried out in WEKA (Waikato Environment for Knowledge Analysis), suite of machine learning software1.

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Ai, Guoxiang. "Progress in the Measurement of Solar Magnetic Fields." International Astronomical Union Colloquium 141 (1993): 149–55. http://dx.doi.org/10.1017/s0252921100028980.

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AbstractThe historical development of optical instruments for solar physics is outlined, from white light to unpolarized and polarized monochromatic light, to Stokes profiles and simultaneous fields of view, from points to lines, plane to cube. An evolutionary series and classificaton of instruments for the solar magnetic field is described. As a next step the 2-D real time polarizing spectrograph has been proposed. The planned instruments in China for measurements of solar magnetic and velocity fields are briefly introduced.

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Et. al., T. Sathya Priya,. "Resnet Based Feature Extraction with Decision Tree Classifier for Classificaton of Mammogram Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 1147–53. http://dx.doi.org/10.17762/turcomat.v12i2.1136.

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Right now, breast cancer is considered as a most important health problem among women over the world. The detection of breast cancer in the beginning stage can reduce the mortality rate to a considerable extent. Mammogram is an effective and regularly used technique for the detection and screening of breast cancer. The advanced deep learning (DL) techniques are utilized by radiologists for accurate finding and classification of medical images. This paper develops a new deep segmentation with residual network (DS-RN) based breast cancer diagnosis model using mammogram images. The presented DS-RN model involves preprocessing, Faster Region based Convolution Neural Network (R-CNN) (Faster R-CNN) with Inception v2 model based segmentation, feature extraction and classification. To classify the mammogram images, decision tree (DT) classifier model is used. A detailed simulation process is performed to ensure the betterment of the presented model on the Mini-MIAS dataset. The obtained experimental values stated that the DS-RN model has reached to a maximum classification performance with the maximum sensitivity, specificity, accuracy and F-Measure of 98.15%, 100%, 98.86% and 99.07% respectively.

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Kim, Sung Rae, So-Hyun Kim, Il-Gon Kim, Changseok Song, Yoonjae Choi, Ki-Hwan Ji, Eun-Cheol Song, and Joung-Ho Rha. "PO15.3 Intima-Media Thickness According to TOAST Classificaton and Risk Factors in Ischemic Stroke." Clinical Neurophysiology 120 (April 2009): S90. http://dx.doi.org/10.1016/s1388-2457(09)60296-0.

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Freeman, Hugh James. "Application of the Vienna Classificaton for Crohn's Disease to a Single Clinician Database of 877 Patients." Canadian Journal of Gastroenterology 15, no. 2 (2001): 89–93. http://dx.doi.org/10.1155/2001/426968.

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An international working party at the World Congress of Gastroenterology held in Vienna, Austria from September 6 to 11, 1998 defined a classification for Crohn's disease based on patient age at diagnosis (eg, less than 40 years of age, 40 years of age or older), disease location (eg, terminal ileum, colon, ileocolon or upper gastrointestinal tract) and behaviour (eg, stricturing, penetrating). Disease location in the upper gastrointestinal tract was defined by disease being present proximal to the terminal ileum, regardless of terminal ileal or colon involvement. A 20-year, single clinician database of 877 patients from a university campus hospital was used, and comprised 492 women (56.1%) and 385 men (43.9%). Of these patients, 740 (84.4%) were diagnosed before age 40 years and 137 (15.6%) were diagnosed by 40 years of age or older. Disease was located in the terminal ileum alone in 222 patients (25.3%), colon alone in 238 patients (27.2%) and ileocolon in 304 patients (34.6%). Another 113 patients (13.1%) had disease in the upper gastrointestinal tract, usually with disease also in the terminal ileum (23 patients), colon (12 patients) or ileocolon (71 patients). Only seven of 877 patients had disease located in the upper gastrointestinal tract alone with no distal disease. Disease behaviour could be classified as nonstricturing and nonpenetrating in 256 patients (29.2%), stricturing in 294 patients (33.6%) and penetrating in 327 patients (37.2%). Of the 877 patients with Crohn's disease, 837 were white, 38 were Asian and two were black. In this tertiary care setting of a single clinician practice in a Canadian teaching hospital at the University of British Columbia, Crohn's disease predominantly affects women, and young adults with a high rate of stricturing and penetrating complications.

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Thomas, Pravin, Anand Kumar, Ahamed Subir, Brian E. McGeeney, Madhav Raje, Divyani Garg, Chaithra D. Aroor, Arunmozhimaran Elavarasi, and Kris Castle. "Classification of Head, Neck, and Face Pains First Edition (WHS-MCH1): Position paper of the WHS Classification Committee." Headache Medicine Connections 1, no. 1 (August 20, 2021): 1–108. http://dx.doi.org/10.52828/hmc.v1i1.classifications.

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Iwamoto, Koji, Hiroyasu Shimizu, Koji Araki, and Seiji Shinkai. "Correction.Synthesis and Optical Resolution of Calix[4]arenes with Molecular Asymmetry. Systematic Classificaton of All Possible Chiral Isomers Derivable from Calix[4]arene." Journal of the American Chemical Society 115, no. 25 (December 1993): 12228. http://dx.doi.org/10.1021/ja00078a600.

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Pimentel, David M. "Towards a typology of classificatory change." NASKO 3, no. 1 (November 2, 2011): 139. http://dx.doi.org/10.7152/nasko.v3i1.12798.

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Classifications of all types invariably change in response to shifting conditions in the information environment. Revising the contents of subject-based schemes is an important type of change, but the phenomenon of classificatory change has multiple interrelated aspects that go beyond content. Conceptually isolating these aspects offers a starting point for describing and comparing different types of classificatory change. The typology proposed here attempts to situate classification schemes within a context of use, interacting with other elements of the information environment. As the digital information landscape continues to evolve, there are increased opportunities for classificatory innovation. While hyperlinks have become a pervasive element in the repertory of knowledge organization, the hypertext technique of transclusion has received considerably less attention. Transclusion offers an alternative way to envision the relationship between digital resources and classification schemes. Examples from the English-language Wikipedia demonstrate how transclusion is used in the digital encyclopedia to embed modular subject-based schemes that supplement knowledge navigation and discovery.

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Prauser, H. "V. H. Heywood und J. McNeill, (Herausgeber), Phenetic and Phylogenetic Classificaton. A Symposium. XI + 164 S., 24 Abb., 15 Tab. London 1964: The Systematics Association 15 s." Zeitschrift für allgemeine Mikrobiologie 7, no. 3 (January 24, 2007): 246–47. http://dx.doi.org/10.1002/jobm.19670070321.

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Feleke, Tekabe Legesse. "Ethiosemitic languages: Classifications and classification determinants." Ampersand 8 (2021): 100074. http://dx.doi.org/10.1016/j.amper.2021.100074.

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Fedorova, Natalia. "BASIC CLASSIFIERS OF FORMAL CLASSIFICATION THEORY OF TECHNICAL SYSTEMS: HIERARCHIES, VECTORS AND MATRICES, BANDS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (July 30, 2021): 28–40. http://dx.doi.org/10.24143/2072-9502-2021-3-28-40.

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The article considers the importance of a technical system among other technical systems in order to ensure its functioning and development, to classify objects, subjects, processes of the technical and related systems. Previously, the author presented the basics of the formal classification theory. This article describes the basic classifiers and operations with them. Three types of basic classifications are identified: discrete hierarchical, discrete matrix and continuous band classifications. For them the concept, structure, dimension, basic operations (addition, multiplication, equality) are defined. In the hierarchy, the classification attributes can be sorted by subordination, when the classification attributes of the lower levels of the hierarchy detail the features of higher levels. The dimension of the hierarchical classification is the number of levels of classification features. Matrix classifications (including vector and super-matrix) are used when the classification attributes are equal and their values are discrete. Band classifications are similar in structure to matrix classifications, but the value of the classification attribute is the interval of numbers, for which the lower and upper boundaries are determined. The dimension of the matrix and band classifications is equal to the number of non-subordinate classification attributes. For all classifications, multiplication is equivalent to the introduction of new classification attributes, addition is the introduction of new values of already existing classification attributes. A unified approach to various types of classifications makes it possible to plan the structure of classifications of specific technical systems, taking into account the properties of characteristic parameters

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Vu, Catphuong, and David Gendelberg. "Classifications in Brief: AO Thoracolumbar Classification System." Clinical Orthopaedics & Related Research 478, no. 2 (December 9, 2019): 434–40. http://dx.doi.org/10.1097/corr.0000000000001086.

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Mandic-Gajic, Gordana, Radomir Samardzic, and Zeljko Spiric. "Correlation and characteristics of self-rating and clinical rating of depression among alcoholics in the course of early abstinence." Vojnosanitetski pregled 72, no. 5 (2015): 437–41. http://dx.doi.org/10.2298/vsp131223047m.

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Background/Aim. Depression is an alcoholism relapse risk factor, but frequently stays underdiagnosed among treated alcoholics. The correlation and characteristics of self-reported and clinically assessed depression in the course of early alcohol abstinence were explored. Methods. A total of 100 inpatient, primary male alcoholics (20-60 years) diagnosed according to Classificaton of Mental and Behavioural Disorders (ICD-10) and Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) were recruited consecutively. The Hamilton Depression Rating Scale (HDRS) and Beck Depression Inventory (BDI) were scored on admission (T1), after 4 weeks (T2) and after 8 weeks (T3). Student's t-test, repeated measures ANOVA and Pearson's correlation between the scores were done (p < 0.05). Factor analyses of symptoms were performed. Results: On HDRS T1, T2, T3 90,7%, 39.5%, 17.4% alcoholics were depressive, respectively. The mean HDRS vs BDI scores on T1, T2 and T3 were 15.16 ? 6.34, 7.35 ? 4.18, 4.23 ? 2.93 vs 14.20 ? 9.56, 8.14 ? 7.35, 5.30 ? 4.94, respectively. Depression severity significantly lowered in the course of abstinence (ANOVA). The HRDS and BDI correlations on T1, T2 and T3 were significant (r1 = 0.763, r2 = 0.684, r3 = 0.613 respectively). Dysphoric mood, anxious, vegetative and cognitive HDRS subscales on T1, T2 and T3 were detected, but not BDI factors, thus BDI symptoms were analysed. Conclusions. The majority of alcoholics had depression on admission. A predominant mild-degree with a significant lowering of depression severity and positive significant correlations between HRDS and BDI scores in the course of abstinence were detected. The dysphoric mood on the HDRS sub-scale, and self-blame, anhedonia and guilt BDI symptoms were most prominent and persisted. The BDI could be a useful tool not only for routine screening and reassessment of depression, but also for exploring emotional content during early abstinence and planning tailored integrative therapy and relapse prevention for alcoholics.

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Jacob, Elin K. "Proposal for a Classification of Classifications built on Beghtol’s Distinction between “Naïve Classification” and “Professional Classification”." KNOWLEDGE ORGANIZATION 37, no. 2 (2010): 111–20. http://dx.doi.org/10.5771/0943-7444-2010-2-111.

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Di Lauro, Salvatore, Mustafa R. Kadhim, David G. Charteris, and J. Carlos Pastor. "Classifications for Proliferative Vitreoretinopathy (PVR): An Analysis of Their Use in Publications over the Last 15 Years." Journal of Ophthalmology 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/7807596.

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Purpose. To evaluate the current and suitable use of current proliferative vitreoretinopathy (PVR) classifications in clinical publications related to treatment.Methods. A PubMed search was undertaken using the term “proliferative vitreoretinopathy therapy”. Outcome parameters were the reported PVR classification and PVR grades. The way the classifications were used in comparison to the original description was analyzed. Classification errors were also included. It was also noted whether classifications were used for comparison before and after pharmacological or surgical treatment.Results. 138 papers were included. 35 of them (25.4%) presented no classification reference or did not use any one. 103 publications (74.6%) used a standardized classification. The updated Retina Society Classification, the first Retina Society Classification, and the Silicone Study Classification were cited in 56.3%, 33.9%, and 3.8% papers, respectively. Furthermore, 3 authors (2.9%) used modified-customized classifications and 4 (3.8%) classification errors were identified. When the updated Retina Society Classification was used, only 10.4% of authors used a full C grade description. Finally, only 2 authors reported PVR grade before and after treatment.Conclusions. Our findings suggest that current classifications are of limited value in clinical practice due to the inconsistent and limited use and that it may be of benefit to produce a revised classification.

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Kwaśnik, Barbara H. "Changing Perspectives on Classification as a Knowledge-Representation Process." KNOWLEDGE ORGANIZATION 46, no. 8 (2019): 656–67. http://dx.doi.org/10.5771/0943-7444-2019-8-656.

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No matter how immutable a classification may seem, it is, after all, an artifact of the human imagination and functions in a particular place and time. The author describes her personal inquiry into classification as a knowledge-representation process. She traces her changing perspectives on how classifications should be viewed and evaluated by posing the following questions: 1) How does the classification process enable or constrain knowing about something or discovering something we did not already know?; 2) In what ways might we develop classifications that enhance our ability to discover meaningful information in the information stores that form a part of our scholarly as well as our everyday lives?; and 3) How might classifications mask or distort knowledge, and how might they serve to disenfranchise people and ideas? These questions are considered through a discussion of classification structures, personal classification, the link of classification to theory, everyday working classifications, translation of classifications, cognitive aspects, browsing, genres, warrant, and the difficulties of navigating complex ontological commitments. The through thread is the importance of context, because classifications can only be seen with respect to the human endeavors that generate them.

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Berrios, German E. "Classifications in Psychiatry: A Conceptual History." Australian & New Zealand Journal of Psychiatry 33, no. 2 (April 1999): 145–60. http://dx.doi.org/10.1046/j.1440-1614.1999.00555.x.

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Background: Historical accounts of psychiatric classifications have hitherto been written in terms of a ‘received view’. This contains two assumptions, that: (i) the activity of classifying is inherent to the human mind; and (ii) psychiatric ‘phenomena’ are stable natural objects. Objectives: The aim of this article is to provide an outline of the evolution of psychiatric classifications from the perspective of conceptual history. This is defined as a theoretical and empirical inquiry into the principles, sortal techniques and contexts in which alienists carried out their task. It assumes that all psychiatric classifications are cultural products, and endeavours to answer the question of whether classificatory models imported from the natural sciences can be applied to man-made constructs (such as mental illness) definitionally based on ‘personalised semantics’. Methods: Exemplars of classificatory activity are first mapped and contextualised. Then, it is suggested that in each historical period crafting classifications has been like playing a game of chess with each move being governed by rules. This is illustrated by offering an analysis of the 1860–1861 French debate on classification. Results and Conclusions: (1) Medicine is not a contemplative but a modificatory activity and hence classifications are only valuable if they can release new information about the object classified. (2) It should not be inferred from the fact that psychiatric classifications are not working well (i.e. that they only behave as actuarial devices) that they must be given up. Conceptual work needs to continue to identify ‘invariants’ (i.e. stable elements that anchor classifications to ‘nature’. (3) Because mental disorders are more than unstable behavioural epiphenomena wrapped around stable molecular changes, ‘neurobiological’ invariants may not do. Stability depends upon time frames. Furthermore, it is unlikely that gene-based classifications will ever be considered as classifications of mental disorders. For once, they would have low predictive power because of their lack of information about the defining codes of mental illness. ‘Social’ and ‘psychological’ invariants have problems of their own.

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Bernstein, J., B. A. Monaghan, J. S. Silber, and W. G. DeLong. "Taxonomy and treatment – a classification of fracture classifications." Journal of Bone and Joint Surgery. British volume 79-B, no. 5 (September 1997): 706–7. http://dx.doi.org/10.1302/0301-620x.79b5.0790706.

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Tassy, Pascal. "THE CLASSIFICATION OF PROBOSCIDEA: HOW MANY CLADISTIC CLASSIFICATIONS?" Cladistics 4, no. 1 (March 1988): 43–57. http://dx.doi.org/10.1111/j.1096-0031.1988.tb00467.x.

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Kohn, Mark D., Adam A. Sassoon, and Navin D. Fernando. "Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis." Clinical Orthopaedics and Related Research® 474, no. 8 (February 12, 2016): 1886–93. http://dx.doi.org/10.1007/s11999-016-4732-4.

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Alton, Timothy B., and Albert O. Gee. "Classifications in Brief: Letournel Classification for Acetabular Fractures." Clinical Orthopaedics and Related Research® 472, no. 1 (November 9, 2013): 35–38. http://dx.doi.org/10.1007/s11999-013-3375-y.

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Rosenbaum, Andrew J., and John A. DiPreta. "Classifications in Brief: Eichenholtz Classification of Charcot Arthropathy." Clinical Orthopaedics and Related Research® 473, no. 3 (November 21, 2014): 1168–71. http://dx.doi.org/10.1007/s11999-014-4059-y.

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Farias, Felipe de Oliveira, Jussara P. Ennes, and José Roberto Zorzatto. "Aesthetic Value of the Relationship between the Shapes of the Face and Permanent Upper Central Incisor." International Journal of Dentistry 2010 (2010): 1–6. http://dx.doi.org/10.1155/2010/561957.

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The relationship between the shapes of face and teeth has been analyzed for esthetic purposes and exploited commercially. The methodology to assess this correlation, described in the literature, does not enable reliable application of the concepts. Digital photos of face and incisors of 100 youths were measured with the software Image Tool 3.0 and classified as to shape. The same photographs were also analyzed and classified by a visual criterion. Statistical analysis of the metrical classification was performed by Pearson's correlation coefficient. The Kappa test was used to determine the coefficient of agreement between the observers and the obtained data, and to assess the agreement between both classifications (metrical and visual). The classificatory analysis made by the observers indicated a marked level of disagreement, also identified between their classification and that obtained by metrical analysis. The results indicated no relationship between the shapes of the face and the central incisor.

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Shi, Li Jun, Xian Cheng Mao, and Zheng Lin Peng. "Method for Classification of Remote Sensing Images Based on Multiple Classifiers Combination." Applied Mechanics and Materials 263-266 (December 2012): 2561–65. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2561.

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This paper presents a new method for classification of remote sensing image based on multiple classifiers combination. In this method, three supervised classifications such as Mahalanobis Distance, Maximum Likelihood and SVM are selected to sever as the sub-classifications. The simple vote classification, maximum probability category method and fuzzy integral method are combined together according to certain rules. And adopted color infrared aerial images of Huairen country as the experimental object. The results show that the overall classification accuracy was improved by 12% and Kappa coefficient was increased by 0.12 compared with SVM classification which has the highest accuracy in single sub-classifications.

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FURTADO, Luiz Felipe de Almeida, Thiago Sanna Freire SILVA, Pedro José Farias FERNANDES, and Evelyn Márcia Leão de Moraes NOVO. "Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques." Acta Amazonica 45, no. 2 (June 2015): 195–202. http://dx.doi.org/10.1590/1809-4392201401439.

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Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

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Alvargonzález, David. "La clasificación de las ciencias desde la filosofía del cierre categorial." Revista de Humanidades, no. 37 (July 17, 2019): 99. http://dx.doi.org/10.5944/rdh.37.2019.21202.

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Resumen: En este artículo se presenta una clasificación de las ciencias realizada desde la filosofía del cierre categorial de Gustavo Bueno. En primer lugar, voy a comentar ciertos presupuestos de la teoría buenista que afectan a esta tarea clasificatoria. Luego distinguiré las clasificaciones basadas en criterios ontológicos de las basadas en criterios gnoseológicos. A continuación, presentaré un criterio gnoseológico de clasificación de las ciencias que, aunque es diferente del propuesto por Gustavo Bueno, es interno a la filosofía del cierre categorial. Pasaré luego a aplicar ese criterio y propondré una clasificación de las ciencias que trataré de justificar confrontándola con otras alternativas.Abstract: This paper presents a classification of the sciences carried out from the Gustavo Bueno's philosophy of categorial closure. Firstly, I will comment on certain assumptions of Bueno's theory that affect this classificatory task. Then, I will distinguish the classifications based on ontological criteria from those based on gnoseological criteria. Next, I will present a gnoseological criterion of classification of sciences that, although different from that proposed by Gustavo Bueno, is internal to the philosophy of categorial closure. Finally, I will apply that criterion and I will propose a classification of the sciences, confronting it with other alternatives

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Nonomura, Machi, Akira Yoshizawa, Masanobu Mizuta, and Shin-ichi Sato. "Comparison of Scope Classifications for Predicting the Need for Airway Intervention in Acute Supraglottitis." International Journal of Practical Otolaryngology 04, no. 01 (January 2021): e6-e10. http://dx.doi.org/10.1055/s-0041-1722883.

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Abstract Background Acute supraglottitis (AS) can cause airway obstruction, sometimes necessitating airway intervention. Some scope classifications were developed to predict the need for airway intervention in patients with AS; however, the most suitable classification for predicting the need for airway intervention remains unclear. Objective This study was performed to validate and compare the usefulness of three scope classifications (Katori's, Tanaka's, and Ovnat-Tamir's classifications) for predicting the need for airway intervention in patients with AS. Materials and Methods We recruited 75 patients (44 males and 31 females aged 20–94 years) with AS who visited Kurashiki Central Hospital between January 2015 and September 2019. The areas under the receiver operating characteristic curves (AUCs) of the scope classifications for predicting the need for airway intervention were measured. Results Of the 75 patients, airway intervention was needed in 23 patients. The AUC was 0.818 (95% confidence interval [CI]: 0.715–0.922) for Katori's classification, 0.803 (95% CI: 0.699–0.907) for Tanaka's classification, and 0.814 (95% CI: 0.705–0.922) for Ovnat-Tamir's classification. Conclusion Although all three classifications appeared to be useful, the AUC tended to be the highest for Katori's classification.

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Gracheva, R. G. "Genetic and substantive soil classifications and their applicability in geobotanical research." Plant Biology and Horticulture: theory, innovation, no. 149 (December 10, 2019): 55–64. http://dx.doi.org/10.36305/0201-7997-2019-149-55-64.

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The first soil classifications dividing soils according to their individual properties and reflecting the resource value of soils were, in fact, substantive classifications. The appearance of soil science that studies soils as special natural bodies changing in space according to natural laws has led to the emergence of genetic soil classifications. The most detailed multilevel Classification of soils of the USSR (1977) is ecological genetic classification based on the relationship between soils and soil formation conditions, where the type of vegetation cover is the top hierarchy level. With the development of soil science, inconsistencies between the genetic classification and the growing volume of knowledge, difficulties in its formalization, and contradictions with the zonal approach have appeared. A paradigm of substantive classification has emerged based on modern measurable morphological and analytical indicators of soils. It is most fully implemented in the World reference base for soil resources (WRB); a compromise option is the substantive- genetic Soil Classification of Russia (2004). In these classifications, for the first time soils with strong human influence (Antrosols and Technosols) are included at a high classification level. The tasks of substantive classifications are the certainty of soil identification; however, discrete classification cells with tight boundaries do not correspond to the continual nature of soils. When using WRB 2014, geobotanical studies receive a certain “freedom” from soils, at the same time, the rigid framework of the parameters of soil properties makes it possible to more accurately identify soil-depended condition of the vegetation cover.

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H. Goldman, Brian, Abby L. Halpern, Matthew J. Deal, and Menar Wahood. "Classifications in Brief: Fernandez Classification of Distal Radius Fractures." International Journal of Orthopaedics 6, no. 5 (2019): 1129–32. http://dx.doi.org/10.17554/j.issn.2311-5106.2019.06.319.

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G., Dr Ayyappan. "Various classifications for caesarian section classification dataset data set." Indian Journal of Computer Science and Engineering 9, no. 6 (December 20, 2018): 145–47. http://dx.doi.org/10.21817/indjcse/2018/v9i6/180906013.

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Wilkerson, Jacob, and Navin D. Fernando. "Classifications in Brief: The Dorr Classification of Femoral Bone." Clinical Orthopaedics & Related Research 478, no. 8 (May 6, 2020): 1939–44. http://dx.doi.org/10.1097/corr.0000000000001295.

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Tian, Chunwei, Guanglu Sun, Qi Zhang, Weibing Wang, Teng Chen, and Yuan Sun. "Integrating Sparse and Collaborative Representation Classifications for Image Classification." International Journal of Image and Graphics 17, no. 02 (April 2017): 1750007. http://dx.doi.org/10.1142/s0219467817500073.

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Collaborative representation classification (CRC) is an important sparse method, which is easy to carry out and uses a linear combination of training samples to represent a test sample. CRC method utilizes the offset between representation result of each class and the test sample to implement classification. However, the offset usually cannot well express the difference between every class and the test sample. In this paper, we propose a novel representation method for image recognition to address the above problem. This method not only fuses sparse representation and CRC method to improve the accuracy of image recognition, but also has novel fusion mechanism to classify images. The implementations of the proposed method have the following steps. First of all, it produces collaborative representation of the test sample. That is, a linear combination of all the training samples is first determined to represent the test sample. Then, it gets the sparse representation classification (SRC) of the test sample. Finally, the proposed method respectively uses CRC and SRC representations to obtain two kinds of scores of the test sample and fuses them to recognize the image. The experiments of face recognition show that the combination of CRC and SRC has satisfactory performance for image classification.

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Manske, Mary Claire, Colin D. Kennedy, and Jerry I. Huang. "Classifications in Brief: The Wassel Classification for Radial Polydactyly." Clinical Orthopaedics and Related Research® 475, no. 6 (September 9, 2016): 1740–46. http://dx.doi.org/10.1007/s11999-016-5068-9.

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Gorbaty, Jacob D., Jason E. Hsu, and Albert O. Gee. "Classifications in Brief: Rockwood Classification of Acromioclavicular Joint Separations." Clinical Orthopaedics and Related Research® 475, no. 1 (September 16, 2016): 283–87. http://dx.doi.org/10.1007/s11999-016-5079-6.

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Vo, Kiet V., Daniel J. Hackett, Albert O. Gee, and Jason E. Hsu. "Classifications in Brief: Walch Classification of Primary Glenohumeral Osteoarthritis." Clinical Orthopaedics and Related Research® 475, no. 9 (March 17, 2017): 2335–40. http://dx.doi.org/10.1007/s11999-017-5317-6.

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Zeltser, David W., and Seth S. Leopold. "Classifications in Brief: Schatzker Classification of Tibial Plateau Fractures." Clinical Orthopaedics and Related Research® 471, no. 2 (June 29, 2012): 371–74. http://dx.doi.org/10.1007/s11999-012-2451-z.

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Telleria, Jessica J. M., and Albert O. Gee. "Classifications In Brief: Paprosky Classification of Acetabular Bone Loss." Clinical Orthopaedics and Related Research® 471, no. 11 (August 31, 2013): 3725–30. http://dx.doi.org/10.1007/s11999-013-3264-4.

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Alton, Timothy, Daniel J. Patton, and Albert O. Gee. "Classifications in Brief: The Hawkins Classification for Talus Fractures." Clinical Orthopaedics and Related Research 473, no. 9 (September 2015): 3046–49. http://dx.doi.org/10.1007/s11999-015-4136-x.

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Tartaglione, Jason P., Andrew J. Rosenbaum, Mostafa Abousayed, and John A. DiPreta. "Classifications in Brief: Lauge-Hansen Classification of Ankle Fractures." Clinical Orthopaedics and Related Research® 473, no. 10 (April 22, 2015): 3323–28. http://dx.doi.org/10.1007/s11999-015-4306-x.

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Sīle, Linda, Raf Guns, Frédéric Vandermoere, Gunnar Sivertsen, and Tim C. E. Engels. "Tracing the context in disciplinary classifications: A bibliometric pairwise comparison of five classifications of journals in the social sciences and humanities." Quantitative Science Studies 2, no. 1 (2021): 65–88. http://dx.doi.org/10.1162/qss_a_00110.

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Abstract Despite the centrality of disciplinary classifications in bibliometric analyses, it is not well known how the choice of disciplinary classification influences bibliometric representations of research in the social sciences and humanities (SSH). This is especially crucial when using data from national databases. Therefore, we examine the differences in the disciplinary profile of an article along with the absolute and relative number of articles across disciplines using five disciplinary classifications for journals. We use data on journal articles (2006–2015) from the national bibliographic databases VABB-SHW in Flanders (Belgium) and Cristin in Norway. Our study is based on pairwise comparisons of the local classifications used in these databases, the Web of Science subject categories, the Science-Metrix, and the ERIH PLUS journal classifications. For comparability, all classifications are mapped to the OECD Fields of Research and Development classification. The findings show that the choice of disciplinary classification can lead to over- or underestimation of the absolute number of publications per discipline. In contrast, if the focus is on the relative numbers, the choice of classification has practically no influence. These findings facilitate an informed choice of a disciplinary classification for journals in SSH when using data from national databases.

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Otley, Amanda, Michelle Morris, Andy Newing, and Mark Birkin. "Local and Application-Specific Geodemographics for Data-Led Urban Decision Making." Sustainability 13, no. 9 (April 26, 2021): 4873. http://dx.doi.org/10.3390/su13094873.

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This work seeks to introduce improvements to the traditional variable selection procedures employed in the development of geodemographic classifications. It presents a proposal for shifting from a traditional approach for generating general-purpose one-size-fits-all geodemographic classifications to application-specific classifications. This proposal addresses the recent scepticism towards the utility of general-purpose applications by employing supervised machine learning techniques in order to identify contextually relevant input variables from which to develop geodemographic classifications with increased discriminatory power. A framework introducing such techniques in the variable selection phase of geodemographic classification development is presented via a practical use-case that is focused on generating a geodemographic classification with an increased capacity for discriminating the propensity for Library use in the UK city of Leeds. Two local classifications are generated for the city, one a general-purpose classification, and the other, an application-specific classification incorporating supervised Feature Selection methods in the selection of input variables. The discriminatory power of each classification is evaluated and compared, with the result successfully demonstrating the capacity for the application-specific approach to generate a more contextually relevant result, and thus underpins increasingly targeted public policy decision making, particularly in the context of urban planning.

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Chen, Chia-Mei, and Shi-Hao Wang. "Advancing Malware Classification With an Evolving Clustering Method." International Journal of Applied Metaheuristic Computing 9, no. 3 (July 2018): 1–12. http://dx.doi.org/10.4018/ijamc.2018070101.

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This article describes how honeypots and intrusion detection systems serve as major mechanisms for security administrators to collect a variety of sample viruses and malware for further analysis, classification, and system protection. However, increased variety and complexity of malware makes the analysis and classification challenging, especially when efficiency and timely response are two contradictory yet equally significant criteria in malware classification. Besides, similarity-based classifications exhibit insufficiency because the mutation and fuzzification of malware exacerbate classification difficulties. In order to improve malware classification speed and attend to mutation, this research proposes the ameliorated progressive classification that integrates static analysis and improved k-means algorithm. This proposed classification aims at assisting network administrators to have a malware classification preprocess and make efficient malware classifications upon the capture of new malware, thus enhancing the defense against malware.

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Govedar, Zoran. "Classification of trees and the effects of thinning in the artificially established spruce stand in the area of Sokolina-Kotor Varos." Bulletin of the Faculty of Forestry, no. 96 (2007): 29–43. http://dx.doi.org/10.2298/gsf0796029g.

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The classifications of trees are mainly based on descriptive (attributive) characters and they have a great significance in thinning. In forestry practice (tree marking for felling, forest inventory, etc) in the Republic of Srpska, the most frequently applied classifications are silvicultural-technical (UT) and technical classification of trees, which are based on the knowledge of tree species, stem diameter and stem quality. In IUFRO classification, based on the silvicultural role of trees, and in UT classification, the trees are classified in three categories. The knowledge and application of these classifications is especially significant in the management of artificially established stands. Economic losses in spruce plantations occur because of untimely tending, especially thinning, which has multiple adverse effects on tree quality. The aim of this paper is to point out the application and the relation of UT and IUFRO classifications, as well as the effect of thinning on tree quality structure in both classifications. The research was performed in a 29-years-old spruce plantation established in the belt of mixed forests of beech and fir. The silvicultural-technical and IUFRO classifications were performed and compared in the aim of their application in different thinning treatments (high thinning of light and moderate weight and mixed thinning of moderate weight). Taking into account the state of spruce plantations in the Republic of Srpska, the effect of thinning on stand quality structure was researched and UT classification of trees applied in practice was compared with IUFRO classification.

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Fortune, Nicola, Stephanie Short, and Richard Madden. "Building a statistical classification: A new tool for classification development and testing." Statistical Journal of the IAOS 36, no. 4 (November 25, 2020): 1213–21. http://dx.doi.org/10.3233/sji-200633.

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Statistical classifications are essential for collecting consistent data that can be compared over space and time. However, a publicly-documented body of practice concerning how to undertake the development and testing of a statistical classification is currently lacking. What aspects of the classification should be tested during the development process? How do we judge whether the classification is fit-for-purpose? How should problems and shortcomings be identified so that they can be remedied? To fill this gap, we drew on existing, authoritative sources to develop an analytic structure for use in the development and testing of statistical classifications. It consists of two components: (1) a statistical classification development and testing framework reflecting the required features of a statistical classification; and (2) a 4-tier model representing the main elements that make up a statistical classification, to use as a heuristic structure within which to locate issues identified and consider how they can be addressed. In this paper, we outline the development of the framework and model, and reflect on their application in testing a draft classification of health interventions. We propose this analytic structure as a new tool to support those engaged in the development of statistical classifications.

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