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1 - 10 of 37
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On the adaptation of recurrent neural networks for system identification
Forgione M., Muni A., Piga D., Gallieri M. Automatica (Journal of IFAC) 1552023. Type: Article
In this pape, Forgione et al. propose a transfer learning methodology to adapt recurrent neural network (RNN) models for dynamic system identification to new operating conditions. The approach is premised on the concept that the dynamics of real-w...
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Apr 9 2024 |
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 Ethics of artificial intelligence: case studies and options for addressing ethical challenges
Stahl B., Schroeder D., Rodrigues R., Springer International Publishing, Cham, Switzerland, 2023. 116 pp. Type: Book (9783031170393)
The ethical challenges presented by artificial intelligence (AI) are not entirely new; rather, they are an extension and amplification of existing ethical and societal issues. Subjects like surveillance, manipulation, and inequality have long been...
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Nov 10 2023 |
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Computational botany: methods for automated species identification
Remagnino P., Mayo S., Wilkin P., Cope J., Kirkup D., Springer International Publishing, New York, NY, 2016. 114 pp. Type: Book (978-3-662537-43-5)
A multidisciplinary domain that indirectly supports information technology (IT) and botanic areas--image analysis modeling and the associated algorithms for implementing automatic systems for plant species identification&#...
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Sep 20 2017 |
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Characterisation of a personal learning environment as a lifelong learning tool
Leone S., Springer Publishing Company, Incorporated, 2013. 102 pp. Type: Book (978-1-461462-73-6)
This book intends to present “the synergy of formal and informal learning in the dynamic construction of a lifelong learner’s personal learning environment.” It began as a PhD thesis presented at the Unive...
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Dec 6 2013 |
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Transforming scientists through technical education: a view from the trenches
Pennington D., Michener W., Katz S., Downey L., Schildhauer M. Computing in Science and Engineering 10(5): 28-33, 2008. Type: Article
This paper presents the results of two US National Science Foundation (NSF) projects: Science Environment for Ecological Knowledge (SEEK) and Science Design (SciDesign). These projects focus on the strategies adopted to target R...
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Mar 11 2009 |
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Introduction to the mathematics of medical imaging (2nd ed.)
Epstein C., Society for Industrial and Applied Mathematics, 2008. 795 pp. Type: Book
Epstein addresses a domain that indirectly supports the health care area--that is, image analysis modeling and associated algorithms. The textbook uses “x-ray computed tomography as a pedagogical machine,” ...
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Jan 27 2009 |
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Computer-aided modeling of reactive systems
Stewart W., Caracotsios M., Wiley-Interscience, New York, NY, 2008. 268 pp. Type: Book (9780470274958)
As suggested by the title, this book intends to present different techniques for parameter estimation and computational methods used for modeling complex chemical reactions and reaction processes. Stewart and Caracotsios wrote this boo...
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Sep 3 2008 |
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Do e-business strategies matter? The antecedents and relationship with firm performance
Koo C., Song J., Kim Y., Nam K. Information Systems Frontiers 9(2-3): 283-296, 2007. Type: Article
Concerned with finding the role of environmental factors in explaining the choice of strategic positions, this paper examines the impact of these strategic positions on firm performance. Of course, the research methodology and the test...
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May 1 2008 |
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Linear models of cumulative distribution function for content-based medical image retrieval
Manjunath K., Renuka A., Niranjan U. Journal of Medical Systems 31(6): 433-443, 2007. Type: Article
This paper is related to the content-based image retrieval (CBIR) techniques based on the cumulative distribution function (CDF), which provide “a considerable reduction in the retrieval time,” according to the auth...
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Feb 21 2008 |
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A statistical approach to neural networks for pattern recognition (Wiley Series in Computational Statistics)
Dunne R., Wiley-Interscience, 2007. 288 pp. Type: Book (9780471741084)
A statistical treatment of a common neural net structure, the multilayer perceptron, in a language that is familiar to working statisticians is addressed in this book. Several questions arise when statisticians are confronted with such...
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Nov 6 2007 |
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