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Wyświetlanie 1-15 z 1554
Tytuł:
Panoramic radiograph – a useful tool to assess the difficulty in extraction of third molars
Autorzy:
Adamska, Paulina
Adamski, Łukasz Jan
Musiał, Dominika
Tylek, Katarzyna
Studniarek, Michał
Wychowański, Piotr
Kaczoruk-Wieremczuk, Magdalena
Pyrzowska, Dorota
Jereczek-Fossa, Barbara Alicja
Starzyńska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/1196787.pdf
Data publikacji:
2020-09-16
Wydawca:
Gdański Uniwersytet Medyczny
Tematy:
Archer classification
Pell and Gregory classification
IAN classification
Pederson scale
Winter classification
Opis:
Introduction: Third molars (TMs) are the most frequently impacted teeth due to the frequent lack of space in the dental arch resulting in their malposition or inability to erupt. Partially erupted TMs that cause recurrent inflammatory conditions must be removed. The aim of this study was to assess TM position on panoramic radiographs. Materials and methods: We evaluated 200 panoramic radiographs of patients 18-72 years of age. Teeth were assessed in terms of the presence of dental follicle, cervix/root ratio and root development stage. Maxillary TMs were assessed using the Archer and Pell and Gregory classifications, whereas the mandibular ones according to Pell and Gregory, Winter, IAN and Pederson classifications. Results: 622 TMs were assessed. In the maxilla, the most common type was A-positioned, vertically angulated TM with completely formed root/roots. In the mandible, the most common type was A1-positio- ned, mesioangular TM with completely formed root/roots and without enlarged follicle. According to Pederson’s index, 59.44% TMs were moderately difficult to extract. Most roots were in contact with inferior alveolar nerve. Conclusions: The use of the classifications mentioned above is helpful in assessment of the surgery difficulty level. In the long term this allows to increase the predictability of the procedure and minimize the intra- and post-operative complications.
Źródło:
European Journal of Translational and Clinical Medicine; 2020, 3, 2; 44-52
2657-3148
2657-3156
Pojawia się w:
European Journal of Translational and Clinical Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kin term patterns and language familie
Autorzy:
Pericliev, Vladimir Borissov
Powiązania:
https://bibliotekanauki.pl/articles/677285.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Slawistyki PAN
Tematy:
kin term patterns
language classification
computational classification
Opis:
Kin term patterns and language familieThe anthropologist G. P. Murdock has found a strong correlation between the kin term patterns (or feature-values) for the relative (feature) “sibling” and language families. This important finding for language classification, however, has not been pursued further. In particular, it has not yet been tested whether the kin term patterns domain as a whole, including the patterns for other features (“grandparents”, “uncles”, “aunts”, “nephews and nieces”, etc.), is sufficient to demarcate all language families from one another. This paper presents a large-scale computational profiling of all language families in terms of their kin term patterns. The most significant findings are: (i) that language families can be quite neatly differentiated on the basis of their kin term patterns, and therefore these patterns may be considered as strong indicators of genetic affiliation, and (ii) that the kin term patterns for the features “nephews and nieces (= siblings' children)”, “siblings”, and “siblings-in-law” - i.e. all features including the idea of siblings - are the best predictors of genetic affiliation, as they are significantly more frequently used in the profiles than any other feature.  Modele terminologii powinowactwa i pokrewieństwa a rodzina językowaAntropolog G. P. Murdock odkrył silny związek między modelami powinowactwa i pokrewieństwa dla krewnych (rodzeństwa) a rodzinami językowymi. To ważne odkrycie w klasyfikacji języków nie było odpowiednio dalej wykorzystywane. W szczególności nie sprawdzono jeszcze, czy domena modeli powinowactwa i pokrewieństwa jako całości, w tym modele dla innych cech („dziadkowie”, „wujkowie”, „ciotki”, „siostrzeńcy i siostrzenice” itp.) są wystarczająco ukształtowane we wszystkich rodzinach językowych. W niniejszym artykule przedstawiono profilowanie komputerowe na dużą skalę wszystkich rodzin językowych pod kątem ich modeli powinowactwa i pokrewieństwa. Najważniejsze wnioski są następujące: (i) rodziny językowe mogą być zróżnicowane na podstawie modeli powinowactwa i pokrewieństwa, dlatego też te modele mogą być uważane za silne wskaźniki genetycznej przynależności, oraz (ii) modele dla cechy „siostrzeńcy i siostrzenice (= dzieci rodzeństwa)”, „rodzeństwo” i „rodzeństwo przyrodnie” - czyli wszystkie cechy, w tym rodzeństwa - są najlepszymi przesłankami genetycznej przynależności, ponieważ są znacznie częściej używane w profilach niż jakakolwiek inna funkcja.
Źródło:
Cognitive Studies; 2017, 17
2392-2397
Pojawia się w:
Cognitive Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detection of source code in internet texts using automatically generated machine learning models
Autorzy:
Badurowicz, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2097432.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
source code
binary classification
text classification
AutoML
Opis:
In the paper, the authors are presenting the outcome of web scraping software allowing for the automated classification of source code. The software system was prepared for a discussion forum for software developers to find fragments of source code that were published without marking them as code snippets. The analyzer software is using a Machine Learning binary classification model for differentiating between a programming language source code and highly technical text about software. The analyzer model was prepared using the AutoML subsystem without human intervention and fine-tuning and its accuracy in a described problem exceeds 95%. The analyzer based on the automatically generated model has been deployed and after the first year of continuous operation, its False Positive Rate is less than 3%. The similar process may be introduced in document management in software development process, where automatic tagging and search for code or pseudo-code may be useful for archiving purposes.
Źródło:
Applied Computer Science; 2022, 18, 1; 89--98
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Association rules in medical data classification
Autorzy:
Kasperczuk, Anna
Jasińska, Aleksandra
Zdrodowska, Małgorzata
Dardzińska-Głębocka, Agnieszka
Powiązania:
https://bibliotekanauki.pl/chapters/2204723.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
association rules
classification
classification based on association (CBA)
Opis:
This chapter is focused on the application of association rules to classify medical data. There is no data mining technique that can produce consistent results for all types of medical data. The effectiveness of a data mining technique depends, among other things, on the type of data collected for study. The purpose of the following work is to see if combining two data mining methods will give better results than using them individually. For this purpose, data on breast cancer in women was used. The results showed that using a hybrid combination of association rules to produce a classifier can improve classification performance.
Źródło:
Advances in biomedical engineering; 123–142
9788367185400
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
CHARAKTERYSTYKA SEMANTYCZNA I STRUKTURALNA FRAZEOLOGIZMÓW NOMINUJĄCYCH KONCEPTY MIŁOŚCI, EROTYKI I SEKSU WE WSPÓŁCZESNYM ROSYJSKIM ŻARGONIE MŁODZIEŻOWYM
The Semantic and Structural Description of Phraseologisms Nominating Concepts of Love, Eroticism and Sex in the Contemporary Russian Youth Jargon
Autorzy:
Nawacka, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/445104.pdf
Data publikacji:
2008-12-01
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
semantic classification
lexical-grammatical classification
structural-semantic classification
fixed phraseological units (idioms)
set phrases
Opis:
This article presents the description of phraseologisms nominating concepts of love, eroticism and sex in the contemporary Russian youth jargon. The analysis is based on 685 dictionary entries chosen from the contemporary jargon dictionaries.
Źródło:
Acta Neophilologica; 2008, X; 63-69
1509-1619
Pojawia się w:
Acta Neophilologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data Stream Classification Using Classifier Ensemble
Autorzy:
Woźniak, Michał
Kasprzak, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/1373631.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
data stream classification
classifier enslemble
pattern classification
forgetting
Opis:
For the contemporary business, the crucial factor is making smart decisions on the basis of the knowledge hidden in stored data. Unfortunately,m traditional simple methods of data analysis are not sufficient for efficient management of modern enterprizes, because they are not appropriate for the huge and growing amount of the data stored by them. Additionally data usually comes continuously in the form of so-called data stream. The great disadvantage of traditional classification methods is that they assume that statistical properties of the discovered concept are being unchanged, while in real situation, we could observe so-called concept drift, which could be caused by changes in the probabilities of classes or/and conditional probability distributions of classes. The potential for considering new training data is an important feature of machine learning methods used in security applications (spam filtering or intrusion detection) or decision support systems for marketing departments, which need to follow the changing client behavior. Unfortunately, the occurrence of concept drift dramatically decreases classification accuracy. This work presents the comprehensive study on the ensemble classifier approach applied to the problem of drifted data streams. Especially it reports the research on modifications of previously developed Weighted Aging Classifier Ensemble (WAE) algorithm, which is able to construct a valuable classifier ensemble for classification of incremental drifted stream data. We generalize WAE method and propose the general framework for this approach. Such framework can prune an classifier ensemble before or after assigning weights to individual classifiers. Additionally, we propose new classifier pruning criteria, weight calculation methods, and aging operators. We also propose rejuvenating operator, which is able to soften the aging effect, which could be useful, especially in the case if quite ”old” classifiers are high quality models, i.e., their presence increases ensemble accuracy, what could be found, e.g., in the case of recurring concept drift. The chosen characteristics of the proposed frameworks were evaluated on the basis of the wide range of computer experiments carried out on the two benchmark data streams. Obtained results confirmed the usability of proposed method to the data stream classification with the presence of incremental concept drift.
Źródło:
Schedae Informaticae; 2014, 23; 21-32
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic vehicle classification in systems with single inductive loop detector
Autorzy:
Gajda, J.
Mielczarek, M.
Powiązania:
https://bibliotekanauki.pl/articles/221584.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inductive loop detectors
magnetic signature
vehicle classification
classification algorithms
Opis:
The work proposes a new method for vehicle classification, which allows treating vehicles uniformly at the stage of defining the vehicle classes, as well as during the classification itself and the assessment of its correctness. The sole source of information about a vehicle is its magnetic signature normalised with respect to the amplitude and duration. The proposed method allows defining a large number (even several thousand) of classes comprising vehicles whose magnetic signatures are similar according to the assumed criterion with precisely determined degree of similarity. The decision about the degree of similarity and, consequently, about the number of classes, is taken by a user depending on the classification purpose. An additional advantage of the proposed solution is the automated defining of vehicle classes for the given degree of similarity between signatures determined by a user. Thus the human factor, which plays a significant role in currently used methods, has been removed from the classification process at the stage of defining vehicle classes. The efficiency of the proposed approach to the vehicle classification problem was demonstrated on the basis of a large set of experimental data.
Źródło:
Metrology and Measurement Systems; 2014, 21, 4; 619-630
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
MATHEMATICS AND PHYSICAL MOTOR EXPRESSION: A STUDY OF PRE-SCHOOL CHILDREN AT THE LEVEL OF TASKS TIME EXECUTION
Autorzy:
Serrano, João
Afonso, Paulo
Alves, Alice
Mesquita, Helena
Honório, Samuel
Powiązania:
https://bibliotekanauki.pl/articles/449152.pdf
Data publikacji:
2019-04-20
Wydawca:
Politechnika Opolska. Wydział Wychowania Fizycznego i Fizjoterapii
Tematy:
Mathematics, Motor Expression, simple classification, multiple classification, Preschool Education
Opis:
This investigation intends to examine whether there is a correlation between the speed of execution of mathematical tasks successfully resolved and the execution speed of the physical motor control tasks. The specific objectives defined are: knowing if there is a correlation between the times obtained in the activity of Mathematics and times in the activity of Motor Expression; Verify if there is a correlation between the times obtained in the activity of Mathematics and times in the group activity; Verify if there is a correlation between the times obtained in Motor Expression activity and the times obtained in the group activity. The methodology adopted for the realization of this study falls mainly on a positive paradigm, assuming a correlational nature typology. The study was conducted with a group of 22 children. These children performed three timed activities, individually, one for each domain and for the group task. The data analysis was conducted using the statistical program SPSS (version 20). After analysis and processing of data we have obtained positive correlation for all tests, however with very different correlation coefficients. We had a correlation coefficient of r = 0.051 between the activity of Mathematics and the activity of Motor Expression, revealing a tiny positive correlation. The test between the activity of Mathematics and Group Activity originated the correlation index r = 0.749; revealing a moderate positive correlation. In the test between the activity of Motor Expression and Grupo Activity, we had a correlation coefficient r = 0.191, which indicates a weak positive correlation. It was still observable that these data change when we focus only on the results of children aged 5 years old. In the first a correlation index r =0.315 was obtained, changing from tiny to weak positive; the second got an index r = 0.843, changing from moderate to strong positive; the third got an index r = 0.678, and therefore the positive correlation moderate.
Źródło:
Journal of Physical Education & Health - Social Perspective; 2018, 7, 12; 37-47
2084-7971
Pojawia się w:
Journal of Physical Education & Health - Social Perspective
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
O FRAZEOLOGIZMACH WE WSPÓŁCZESNYM ROSYJSKIM ŻARGONIE NARKOMANÓW
About Phraseologisms in the Contemporary Jargon of Russian Drug Addicts
Autorzy:
Piotrowska-Mazurowska, Monika
Powiązania:
https://bibliotekanauki.pl/articles/445094.pdf
Data publikacji:
2008-12-01
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
phraseologism
jargon
semantic classification
synonymous variants
lexical-grammatical classification
Opis:
This article focuses on the issue of drug nominations above the word level. It assumed that every jargon expression composed of two or more elements is a phraseologism. The analysis encompasses 274 phraseological expressions excerpted from the most recent lexicogra- phic sources. Among the analyzed drug nominations there were observed all kinds of expressions divided according to semantic as well as formal criteria. Moreover, phraseological phonetic, mor- phological-grammatical, word-formation and lexical variants were distinguished.
Źródło:
Acta Neophilologica; 2008, X; 71-77
1509-1619
Pojawia się w:
Acta Neophilologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of optimization of ALS point cloud on classification
Autorzy:
Błaszczak-Bąk, W.
Sobieraj, A.
Powiązania:
https://bibliotekanauki.pl/articles/298363.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
optimization
classification
intensity
Opis:
Airborne laser scanning (ALS) is one of the LIDAR technologies (Light Detection and Ranging). It provides information about the terrain in form of a point cloud. During measurement is acquired: spatial data (object’s coordinates X, Y, Z) and collateral data such as intensity of reflected signal. The obtained point cloud is typically applied for generating a digital terrain model (DTM) and a digital surface model (DSM). For DTM and DSM generation it is necessary to apply filtration or classification algorithms. They allow to divide a point cloud into object groups (e.g.: terrain points, vegetation, etc.). In this study classification is conducted with one extra parameter–intensity. The obtained point groups were used for digital spatial model generation. Classification is a time and work consuming process, therefore there is a need to reduce the time of ALS point cloud processing. Optimization algorithm enables to decrease the number of points in a dataset. In this study the main goal was to test the impact of optimization on the results of a classification. Studies were conducted in two variants. Variant 1 includes classification of the original point cloud where points are divided in the groups: roofs, asphalt road, tree/bushes, grass. On variant 2 before classification, an optimization algorithm was performed in the original point cloud. Obtained from these two variants object groups were used to generate a spatial model, which was then statistically analyzed.
Źródło:
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2013, 16(2); 147-164
1505-4675
2083-4527
Pojawia się w:
Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Frequency of various craniofacial clefts observed in a single center during a period of 34 years
Autorzy:
Fijałkowska, Marta
Antoszewski, Bogusław
Powiązania:
https://bibliotekanauki.pl/articles/1391851.pdf
Data publikacji:
2020
Wydawca:
Index Copernicus International
Tematy:
classification
cleft
types
Opis:
Background: Orofacial clefts are the most common congenital anomalies of the head and neck. Aim: The aim of this paper is to present own group of patients with different types of isolated orofacial clefts. Material and method: A retrospective study presenting patients with different facial clefts was carried out in the group of 473 patients born in the city of Lodz. Results: In the whole group there were: 434 patients with cleft lip and/or palate, 28 with nose clefts and 11 with rare facial clefts classified according to Tessier categorization. Conclusion: In our group, the majority of cases comprised of typical cleft lip and/or palate. Nose clefts are not always a part of craniofacial clefts, but isolated nose clefts can occur and can be observed as midline defects or ala nasi anomaly. A simple system may be adequate for surgical repair, with the more detailed classification schemes important for further understanding of the disease.
Źródło:
Polish Journal of Surgery; 2020, 92, 1; 29-33
0032-373X
2299-2847
Pojawia się w:
Polish Journal of Surgery
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The voice on the classification of science
Autorzy:
Michałek, Rudolf
Powiązania:
https://bibliotekanauki.pl/articles/703316.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
science
classification
degree
Opis:
The article presents the idea of the classification of science which may be useful at conferring the scientific titles and degrees. The proposed change consists in omitting of domains in the classification of science.
Źródło:
Nauka; 2008, 3
1231-8515
Pojawia się w:
Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Document controversy classification based on the wikipedia category structure
Autorzy:
Jankowski-Lorek, M.
Zieliński, K.
Powiązania:
https://bibliotekanauki.pl/articles/305229.pdf
Data publikacji:
2015
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Wikipedia
controversy
classification
Opis:
Dispute and controversy are parts of our culture and cannot be omitted on the Internet (where it becomes more anonymous). There have been many studies on controversy, especially on social networks such as Wikipedia. This free on-line encyclopedia has become a very popular data source among many researchers studying behavior or natural language processing. This paper presents using the category structure of Wikipedia to determine the controversy of a single article. This is the first part of the proposed system for classification of topic controversy score for any given text.
Źródło:
Computer Science; 2015, 16 (2); 185-198
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Categorization of persons based on their mentions in Polish news texts
Autorzy:
Pachocki, Maciej
Wróblewska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/385228.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
fined‐grained named entity classification
text classification
categorization of persons
Opis:
Our goal described in this paper was to design, imple‐ ment and test a method of categorization of mentions of persons in Polish news texts. We gathered and classified the input data in order to measure the accuracy of the method. Train and test data were constructed by using lists of persons collected from YAGO knowledge base and Polish Wikipedia. During tests the efficiency of categori‐ zation depending on different representations of a per‐ son was studied. Experiments were executed on our and a chosen solution from literature. The results are shown and discussed in the paper.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 42-49
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Vessel classification method based on vessel behavior in the port of Rotterdam
Autorzy:
Zhou, Y.
Daamen, W.
Vellinga, T.
Hoogendoorn, S.
Powiązania:
https://bibliotekanauki.pl/articles/135299.pdf
Data publikacji:
2015
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
AIS
data analysis
vessel classification
vessel behavior
port
classification method
Opis:
AIS (Automatic Identification System) data have proven to be a valuable source to investigate vessel behavior. The analysis of AIS data provides a possibility to recognize vessel behavior patterns in a waterway area. Furthermore, AIS data can be used to classify vessel behavior into several categories. The analysis results would help the port authority and other equivalent parties in port design and optimization or marine traffic management. For researchers, it provides a systematic way to understand, simulate and predict vessel behavior. This paper focuses on vessel classification in the Botlek area, Rotterdam from the perspective of vessel behavior. In this paper, the vessel properties, including vessel type, GT (Gross Tonnage), length and beam, have been analyzed to investigate the vessel behavior, which is described by four factors including heading, COG (Course over Ground), SOG (Speed over Ground), and position. In order to discover the behavior patterns in normal situations, several thresholds are set in order to filter the collected AIS data to define such situations. By plotting the AIS data, behavioral changes with the changes of properties have been observed. Hence, the correlations between vessel behavior and different vessel properties are investigated. The results reveal that a vessel’s sailing position and COG are both strongly determined by beam, while SOG is affected by GT. For the heading of a vessel, no obvious correlation with any vessel property is found. Each behavioral factor is clustered according to the correlated vessel property. This way, the criteria to classify the vessels are determined. The vessel classification results based on their behavior would likely to lead to more consistency in the analysis, simulation and prediction of the vessel behavior. The reason is that the development of such a simulation model is based on a systematic recognition of the vessel behavior patterns.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2015, 42 (114); 86-92
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 1554

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