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Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context...
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Luis Zuloaga-Rotta, Rubén Borja-Rosales, Mirko Jerber Rodríguez Mallma, David Mauricio and Nelson Maculan
The forecasting of presidential election results (PERs) is a very complex problem due to the diversity of electoral factors and the uncertainty involved. The use of a hybrid approach composed of techniques such as machine learning (ML) and Simulation in ...
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Rouzbeh Shabani, Olav Torp, Ole Jonny Klakegg and Agnar Johansen
To succeed with projects, we need to understand and manage uncertainty. Uncertainties impact a project?s cost, time, and quality performance. The project?s front end is challenging for decision makers due to the high level of uncertainty. This paper iden...
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Paul K. Davis
This paper discusses challenges for M&S if it is to be increasingly important to decision aiding and policy analysis. It suggests an approach that?from the outset of a policy analysis project?incorporates M&S of a varied resolution with the inten...
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Riana Steen, Geir Haakonsen and Trygve Jakobsen Steiro
Crisis-induced learning (CIL), as a concept, has an ancient history. Although the academic literature offers a range of sophisticated approaches to address CIL, it is still not quite clear how we learn, how we know we have learned, and what challenges an...
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Everistus Zeluwa Orji, Ali Haydar, Ibrahim Ersan and Othmar Othmar Mwambe
This paper comprehensively assesses the application of active learning strategies to enhance natural language processing-based optical character recognition (OCR) models for image-to-LaTeX conversion. It addresses the existing limitations of OCR models a...
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Weidong Wu, Hongbo Fan, Yu Fan and Jian Wen
The accurate segmentation of colorectal polyps is of great significance for the diagnosis and treatment of colorectal cancer. However, the segmentation of colorectal polyps faces complex problems such as low contrast in the peripheral region of salient i...
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Jimyong Kim, Sangguk Yum, Seunghyun Son, Kiyoung Son and Junseo Bae
Educational facilities hold a higher degree of uncertainty in predicting maintenance and repair costs than other types of facilities. Moreover, achieving accurate and reliable maintenance and repair costs is essential, yet very little is known about a ho...
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Antonis Bikakis and Patrice Caire
In multi-agent systems, agents often need to cooperate and form coalitions to fulfil their goals, for example by carrying out certain actions together or by sharing their resources. In such situations, some questions that may arise are: Which agent(s) to...
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Dan Malowany and Hugo Guterman
Computer vision is currently one of the most exciting and rapidly evolving fields of science, which affects numerous industries. Research and development breakthroughs, mainly in the field of convolutional neural networks (CNNs), opened the way to unprec...
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