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A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector
The growing prevalence of deep neural networks (DNNs) across various fields raises concerns about their increasing energy consumption, especially in...
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A Methodological Framework for SPL Engineering from DSML
For the last ten years, Software Product Line (SPL) tool developers have been facing the implementation of different variability requirements and the...
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Data-Driven Evaluation of Intrusion Detectors: A Methodological Framework
Intrusion detection systems are an important domain in cybersecurity research. Countless solutions have been proposed, continuously improving upon...
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A Methodological Framework to Assess Individual Sustainable Behavior
Cities are privileged places in which the transition of society towards a sustainable future could be achieved. In this direction, individuals could...
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A methodological framework for geospatial modelling of hydrogen demand in cities
Urban energy system planning is vital for cities shifting towards a more sustainable and integrated energy system. Hydrogen is considered one of the...
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A Methodological Framework for Facilitating Explainable AI Design
The advancement of artificial intelligence (AI) technologies has enabled many feats that were previously thought to be impossible. However as AI...
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“Legal personality” of artificial intelligence: methodological problems of scientific reasoning by Ukrainian and EU experts
The article provides a comprehensive analysis of scientific approaches to the formation of legal regulation of relations arising in the development...
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National Standard as a Result of Collective Scientific and Methodological Work
AbstractThis paper summarizes the results of the discussion of GOST R 7.0.108-2022 SIBID Bibliographic references to electronic documents posted in...
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Logical Modelling, Some Recent Methodological Advances Illustrated
Logical modelling is a popular mathematical framework for assessing the behaviour of regulatory and signalling networks. Despite its qualitative...
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A Methodological Framework to Cultivate Transformative Learning in Faculty Development
Object: The chapter presents the first results of an exploratory study on faculty perspective transformations due to the massive shift to blended...
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Eye tracking-based evaluation of accessible and usable interactive systems: tool set of guidelines and methodological issues
This paper describes some fundamentals and challenges in using eye tracking for the assessment of usability and accessibility in the fields in...
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Place and role of visualization among the modern methodological tools of higher education process
The study aims to analyze visualization as a methodological technique used during lectures in higher educational institutions. An empirical study of...
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RETRACTED ARTICLE: A Novel Framework in Software Engineering for Deep Learning
There are increasingly deep learning approaches being used in software engineering domain. While, there are no agreement on how to adopt deep...
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Making Sense of ARt: A Methodological Framework for the Study of Augmented Reality Art
For over a decade, artists and creators have leveraged augmented reality technology to protest and reimagine their physical worlds through socially...
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Teaching as part of open scholarship: develo** a scientometric framework for Open Educational Resources
Scientometric assessments of Open Educational Resources (OER) offer a way to quantitatively represent teaching in higher education through openly...
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Ethical and methodological challenges in building morally informed AI systems
Recent progress in large language models has led to applications that can (at least) simulate possession of full moral agency due to their capacity...
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Moderately supervised learning: definition, framework and generality
Learning with supervision has achieved remarkable success in numerous artificial intelligence (AI) applications. In the current literature, by...
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Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions
In this work, we consider multitasking in the context of solving multiple optimization problems simultaneously by conducting a single search process....
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Digital ethicswashing: a systematic review and a process-perception-outcome framework
The term “ethicswashing” was recently coined to describe the phenomenon of instrumentalising ethics by misleading communication, creating the...
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Methodological Challenges of Multimodal Corpus Analysis of Interpreter-Mediated Conversations
In this contribution we will describe methodological challenges of multimodal corpus analysis, providing the project PRAGMACOR as an example....