Temat: data pre-processing - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Data preprocessing and its influence on the adsorption capacity of calculated shale. Comparison of selected methods: A case study
Autorzy:: Waszczuk, Patrycja
Powiązania:: https://bibliotekanauki.pl/articles/127611.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Mineralogiczne
Tematy:: data pre-processing
sorption capacity
Opis:: This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a material. The sample of gas-bearing shale was subjected to a volumetric sorption test. The obtained data, pressure and temperature were preprocessed by three methods: moving average, polynomial regression and locally weighted scatterplot smoothing. The results include the excess and absolute sorption calculated from data that were filtered, and data without pre-treatment and Langmuir isotherms’ coefficients for every case.
Źródło:: Mineralogia; 2017, 48, 1/4; 157-165
1899-8291
1899-8526
Pojawia się w:: Mineralogia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of artificial neural networks in preliminary selection of pigmented lesions for further melanoma diagnosis
Autorzy:: Kisielińska-Ptasznik, Anna
Figielska, Ewa
Powiązania:: https://bibliotekanauki.pl/articles/1397478.pdf
Data publikacji:: 2020
Wydawca:: Warszawska Wyższa Szkoła Informatyki
Tematy:: artificial neural network
data pre-processing
melanoma diagnosis
Opis:: The paper deals with the problem of preliminary selection of pigmented lesionsfor further melanoma diagnosis. Several algorithms for input data pre-processingare proposed and artificial neural network for the examination of pigmented lesions is used. Computational results are reported.
Źródło:: Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2020, 14, 22; 23-38
1896-396X
2082-8349
Pojawia się w:: Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Analysis of data pre-processing methods for sentiment analysis of reviews
Autorzy:: Parlar, Tuba
Ozel, Selma
Song, Fei
Powiązania:: https://bibliotekanauki.pl/articles/305513.pdf
Data publikacji:: 2019
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: data pre-processing
feature selection
sentiment analysis
text classification
Opis:: The goals of this study are to analyze the effects of data pre-processing methods for sentiment analysis and determine which of these pre-processing methods (and their combinations) are effective for English as well as for an agglutinative language like Turkish. We also try to answer the research question of whether there are any differences between agglutinative and non-agglutinative languages in terms of pre-processing methods for sentiment analysis. We find that the performance results for the English reviews are generally higher than those for the Turkish reviews due to the differences between the two languages in terms of vocabularies, writing styles, and agglutinative property of the Turkish language.
Źródło:: Computer Science; 2019, 20 (1); 123-141
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Efficiency of linear and non-linear classifiers for gas identification from electrocatalytic gas sensor
Autorzy:: Kalinowski, P.
Woźniak, Ł.
Strzelczyk, A.
Jasinski, P.
Jasinski, G.
Powiązania:: https://bibliotekanauki.pl/articles/221796.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: electrocatalytic sensor
cyclic voltammetry
data pre-processing
support vector machine (SVM)
Partial Least Squares Discriminant Analysis
Opis:: Electrocatalytic gas sensors belong to the family of electrochemical solid state sensors. Their responses are acquired in the form of I-V plots as a result of application of cyclic voltammetry technique. In order to obtain information about the type of measured gas the multivariate data analysis and pattern classification techniques can be employed. However, there is a lack of information in literature about application of such techniques in case of standalone chemical sensors which are able to recognize more than one volatile compound. In this article we present the results of application of these techniques to the determination from a single electrocatalytic gas sensor of single concentrations of nitrogen dioxide, ammonia, sulfur dioxide and hydrogen sulfide. Two types of classifiers were evaluated, i.e. linear Partial Least Squares Discriminant Analysis (PLS-DA) and nonlinear Support Vector Machine (SVM). The efficiency of using PLS-DA and SVM methods are shown on both the raw voltammetric sensor responses and pre-processed responses using normalization and auto-scaling.
Źródło:: Metrology and Measurement Systems; 2013, 20, 3; 501-512
0860-8229
Pojawia się w:: Metrology and Measurement Systems
Dostawca treści:: Biblioteka Nauki

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