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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Dipayan Mazumder, Mithun Datta, Alexander C. Bodoh and Ashiq A. Sakib
The increasing demand for high-speed, energy-efficient, and miniaturized electronics has led to significant challenges and compromises in the domain of conventional clock-based digital designs, most notably reduced circuit reliability, particularly in mi...
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Ivan Kosyanenko,Roman Bolbakov
Pág. 53 - 59
In today's team-based software development, good commit messages - comments on changes made in natural language - are essential. The metric for evaluating a commit message is its relevance. A good commit message should not only describe the changes made,...
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Jaime Ruiz-Serra and Michael S. Harré
Theory of mind (ToM) is the psychological construct by which we model another?s internal mental states. Through ToM, we adjust our own behaviour to best suit a social context, and therefore it is essential to our everyday interactions with others. In ado...
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Tomasz Rak
This study aims to identify the most effective input parameters for performance modelling of container-based web systems. We introduce a method using queueing Petri nets to model web system performance for containerized structures, leveraging prior measu...
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Abba Mahmud, Stephen O. Ogunlana, W.T. Hong, Ibrahim Wuni Yahaya, Sani Rueben Akoh
Qualitative data plays an important role in system dynamics (SD) modelling, particularly in model conceptualization. Among the various forms of data, information from the mental database of stakeholders is considered the most important which can be acces...
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Jinkun Yang, Haitao Ma and Le Chen
In the process of globalization, the transformation of production methods has triggered a restructuring of scales, resulting in the emergence of a new spatial phenomenon known as cross-border regions. Previous studies have focused on the coordination of ...
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Okan Bulut, Guher Gorgun, Tarid Wongvorachan and Bin Tan
Rapid guessing is an aberrant response behavior that commonly occurs in low-stakes assessments with little to no formal consequences for students. Recently, the availability of response time (RT) information in computer-based assessments has motivated re...
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Panagiotis Farmakis, Athanasios Chassiakos and Stylianos Karatzas
Hub-and-Spoke (H&S) network modeling is a form of transport topology optimization in which network joins are connected through intermediate hub nodes. The Short Sea Shipping (SSS) problem aims to efficiently disperse passenger flows involving multipl...
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Bradley Walters, Sandra Ortega-Martorell, Ivan Olier and Paulo J. G. Lisboa
A lack of transparency in machine learning models can limit their application. We show that analysis of variance (ANOVA) methods extract interpretable predictive models from them. This is possible because ANOVA decompositions represent multivariate funct...
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