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Review | 07-September-2016

Imaging of juvenile idiopathic arthritis. Part I: Clinical classifications and radiographs

Iwona Sudoł-Szopińska, Genowefa Matuszewska, Piotr Gietka, Mateusz Płaza, Marta Walentowska-Janowicz

Journal of Ultrasonography, Volume 16 , ISSUE 66, 225–236

Review | 29-September-2017

Imaging of juvenile spondyloarthritis. Part I: Classifications and radiographs

classifications of juvenile spondyloarthropathies and discusses their radiographic presentation. Typical radiographic features of individual types of juvenile spondyloarthritis are listed (including ankylosing spondylitis, juvenile psoriatic arthritis, reactive arthritis and arthritis in the course of inflammatory bowel diseases). The second part will describe changes visible on ultrasonography and magnetic resonance imaging. In patients with juvenile spondyloarthropathies, these examinations are conducted to

Iwona Sudoł-Szopińska, Piotr Gietka, Michał Znajdek, Genowefa Matuszewska, Magdalena Bogucevska, Ljubinka Damjanovska-Krstikj, Slavcho Ivanoski

Journal of Ultrasonography, Volume 17 , ISSUE 70, 167–175

Review | 25-September-2018

Classifications and imaging of juvenile spondyloarthritis

Iwona Sudoł-Szopińska, Iris Eshed, Lennart Jans, Nele Herregods, James Teh, Jelena Vojinovic

Journal of Ultrasonography, Volume 18 , ISSUE 74, 224–233

Research Article | 01-September-2017

MACHINE VISION BASED MISSING FASTENER DETECTION IN RAIL TRACK IMAGES USING SVM CLASSIFIER

Missing fastener detection is a critical task due to its similar characteristics with surrounding environments. In this paper, a machine vision based fully automatic detection and classification of missing fastener detection system is proposed using Support Vector Machine (SVM) classifier. This proposed system consists of preprocessing, transformation, feature extraction and classifications. Image resizing is performed as preprocessing step and Gabor transform is used as transformation

R. Manikandan, M. Balasubramanian, S. Palanivel

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 5, 574–589

Review | 29-March-2016

Diagnostic imaging of psoriatic arthritis. Part I: etiopathogenesis, classifications and radiographic features

Iwona Sudoł-Szopińska, Genowefa Matuszewska, Brygida Kwiatkowska, Grzegorz Pracoń

Journal of Ultrasonography, Volume 16 , ISSUE 64, 65–77

Article | 11-April-2018

Intrusion Detection Based on Self-adaptive Differential Evolutionary Extreme Learning Machine

of research for detecting possible intrusions and attacks. In this paper, we propose an improved learning algorithm named self-adaptive differential evolution extreme learning machine (SADE-ELM) for classifying and detecting the intrusions. We compare our methods with commonly used ELM, DE-ELM techniques in classifications. Simulation results show that the proposed SADE-ELM approach achieves higher detection accuracy in classification case.

Junhua Ku, Bing Zheng, Dawei Yun

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 54–60

Review | 29-September-2017

Imaging of juvenile spondyloarthritis. Part II: Ultrasonography and magnetic resonance imaging

Juvenile spondyloarthropathies are mainly manifested by symptoms of peripheral arthri­tis and enthesitis. Early involvement of sacroiliac joints and spine is exceptionally rare in children; this usually happens in adulthood. Conventional radiographs visualize late inflammatory lesions. Early diagnosis is possible with the use of ultrasonography and magnetic resonance imaging. The first part of the article presented classifications and radiographic presentation of juvenile

Iwona Sudoł-Szopińska, Michał Znajdek, Piotr Gietka, Violeta Vasilevska-Nikodinovska, Lukas Patrovic, Vladka Salapura

Journal of Ultrasonography, Volume 17 , ISSUE 70, 176–181

Article | 03-December-2017

An 18S rDNA Perspective on the Classification of Criconematoidea

In the nematode family Criconematidae, a taxonomy primarily based on cuticle characters has created classifications that are notoriously volatile. Molecular characters may lead to their stabilization. A phylogenetic tree of Criconematoidea was constructed using 166 new near full-length 18S rDNA sequences and 58 sequences from GenBank. Bayesian and maximum likelihood (ML) analyses produced trees with similar topologies. Major features include a strongly supported clade that includes

THOMAS POWERS, TIMOTHY HARRIS, REBECCA HIGGINS, PETER MULLIN, KIRSTEN POWERS

Journal of Nematology, Volume 49 , ISSUE 3, 236–244

Article | 01-June-2015

BUILDING A PARALLEL DECISION-MAKING SYSTEM BASED ON RULE-BASED CLASSIFIERS IN MOLECULAR ROBOTICS

-based classifiers from a binary tree classification as a decision-making system. In our framework for molecular robot development, the system components of molecular robots and simple classifier rules were used to alleviate the computational burden. The design consists of a basic model that generates rule-based classifier gates in several binary tree and cancer classifications based on micro (mi)RNA expression. Simulation results showed that detection and classification were rapid using this system

Wibowo Adi, Kosuke Sekiyama

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 944–965

Article | 31-March-2018

SELECTING A LOGISTICS SERVICE PROVIDER: A DEFINITION OF CRITERIA THAT CONSIDER THE REQUIREMENTS OF AN EXTERNAL COMPETITIVE ENVIRONMENT

A large number of criteria, the very diverse use of terminology and different classifications of criteria used to select a logistics service provider (LSP) reflect the lack of consensus in defining criteria. Moreover, whether the criteria are consistent with external requirements has not been analysed, which are vitally important for the success and competitiveness of the supply chain. This paper therefore presents a carefully prepared and evaluated classification system of criteria aligned

Patricija BAJEC, Danijela TULJAK-SUBAN

Transport Problems, Volume 12 , ISSUE SE, 157–168

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