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1

Optimizing Space Complexity using Color Spaces in CBIR Systems for Medical Diagnosis

100%

Kenny S. P. K.

World News of Natural Sciences

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2020

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vol. 30

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issue 2

96-103

EN

Content based Image Retrieval systems are now used in various automated systems because they largely produce accurate results as they do not depend on the metadata for telling what the image is but rather define it on the basis contents of the image like color, shape, texture and spatial locations. Content based Image retrieval systems have a repository of similar images and when a query image is presented to system it matches similar images in the database. This process aids in various applications like security checks to medical diagnosis. But all CBIR systems in common have to store the images which take a huge space. Here in this work, a unique approach is being devised to reduce the space complexity for a CBIR system used for detecting cervical cancer. When it comes to medical image it is not the question of how to reduce space, but along with it, the original contents of the image also has to be preserved.

2

C&RT model application in classification of biomass for energy production and environmental protection

88%

Sajdak M., Piotrowski O.

Open Chemistry

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2013

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vol. 11

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issue 2

259-270

EN

Biomass is most often used to produce energy via its combustion and co-combustion along with conventional energy carriers. The prevalence of this method results from the lack of sufficient facilities that can provide a quick and simple chemical classification method, which would show a broader range of possible applications of biofuel in the energy industry. The aim of this study was the development of novel method of classification allowing for quick determine of the direction of the biomass usage by applying classification and regression models of trees (C&RTs). The proper functioning of a C&RT model is based on a very large database of results collected by the Institute for Chemical Processing of Coal during years of work in this field. The created model may be used as decision tool for grouping various biomass sources with respect to their further application in energy generation. [...]

3

Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining

75%

Regulski K., Rojek G., Wilk-Kołodziejczyk D., Gumienny G., Kacprzyk B., Mrzygłód B.

Archives of Foundry Engineering

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2017

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vol. 17

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issue 3

4

Specificity of SPC Procedures Application in Foundry in Aspect of Data Acquisition and Data Exploration

75%

Ignaszak Z., Sika R.

Archives of Foundry Engineering

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2012

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issue 4

5

Mining Data of Noisy Signal Patterns in Recognition of Gasoline Bio-Based Additives using Electronic Nose

75%

Osowski S., Siwek K.

Metrology and Measurement Systems

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2017

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vol. 24

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issue 1

6

Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach

71%

Bevilacqua M., Ciarapica F. E., Antomarioni S., Bevilacqua M., Ciarapica F. E., Antomarioni S.

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vol. 10

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issue 1

7

A Visual mining based framework for classification accuracy estimation

63%

Arun P. V.

|

2013

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vol. 62

|

issue 2

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1 Kenny S. P. K.

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Optimizing Space Complexity using Color Spaces in CBIR Systems for Medical Diagnosis

C&RT model application in classification of biomass for energy production and environmental protection

Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining

Specificity of SPC Procedures Application in Foundry in Aspect of Data Acquisition and Data Exploration

Mining Data of Noisy Signal Patterns in Recognition of Gasoline Bio-Based Additives using Electronic Nose

Lean principles for organizing items in an automated storage and retrieval system:an association rule mining – based approach

A Visual mining based framework for classification accuracy estimation