Pitt-Francis, Joe, Chen, Dan, Slaymaker, Mark, Simpson, Andre, Brady, Michael, van Leeuwen, Ingeborg, Reddington, Fiona, Quirke, Phil, Brown, Gina, Gavaghan, David (2006)
Computational & Mathematical Methods in Medicine
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Dobrinkova, Nina (2012)
Serdica Journal of Computing
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This paper presents the main achievements of the author’s PhD dissertation. The work is dedicated to mathematical and semi-empirical approaches applied to the case of Bulgarian wildland fires. After the introductory explanations, short information from every chapter is extracted to cover the main parts of the obtained results. The methods used are described in brief and main outcomes are listed. ACM Computing Classification System (1998): D.1.3, D.2.0, K.5.1.
Westera, Wim (2010)
Serdica Journal of Computing
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This paper is a reflection on the history and future of technology-enhanced learning. Over the last century various new technologies were introduced in education. Often, educational revolutions were proclaimed. Unfortunately, most of these new technologies failed to meet the high expectations. This paper reviews the rise and fall of various "revolutionary" learning technologies and analyses what went wrong. Three main driving factors are identified that influence the educational system:...
Annales Studia Geographica (2015)
Annales Universitatis Paedagogicae Cracoviensis Studia Geographica
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Jin Tan David Yang, Chun-Yen Tsai, Ming Jey Huang (2005)
Computer Science and Information Systems
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Marina Jovanović Milenković, Zoran Radojičić, Dejan Milenković, Dragan Vukmirović (2009)
Computer Science and Information Systems
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Juan Carlos Augusto, Paul McCullagh (2007)
Computer Science and Information Systems
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Jelica Protić, Dejan Ristanović (2011)
Computer Science and Information Systems
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Murtagh, Fionn (2008)
Journal Électronique d'Histoire des Probabilités et de la Statistique [electronic only]
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Thomas Fevens, Adam Krzyżak (2008)
International Journal of Applied Mathematics and Computer Science
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According to the World Health Organization (WHO), breast cancer (BC) is one of the most deadly cancers diagnosed among middle-aged women. Precise diagnosis and prognosis are crucial to reduce the high death rate. In this paper we present a framework for automatic malignancy grading of fine needle aspiration biopsy tissue. The malignancy grade is one of the most important factors taken into consideration during the prediction of cancer behavior after the treatment. Our framework is based...
(1990)
Kybernetika
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