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Mostrando ítems 1-20 de 25
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Artículo
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
(Elsevier, 2023-06)Background: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern ...
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A Mashup-based Framework for Business Process Compliance Checking
(IEEE Computer Society, 2020)Business process compliance ensures that the business processes of an organisation are designed and executed according ...
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A new P-Lingua toolkit for agile development in membrane computing
(Elsevier, 2022)Membrane computing is a massively parallel and non-deterministic bioinspired computing paradigm whose models are called P ...
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A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
(Elsevier, 2022-12)Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of ...
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A systematic review of capability and maturity innovation assessment models: Opportunities and challenges
(Elsevier, 2023)Public funding, being the primary source for innovation, imposes restrictions caused by a lack of trust between the roles ...
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An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems
(IEEE Computer Society, 2022)Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their ...
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ARTE: Automated Generation of Realistic Test Inputs for Web APIs
(IEEE Computer Society, 2022)Automated test case generation for web APIs is a thriving research topic, where test cases are frequently derived from the ...
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Ponencia
Automated reasoning on feature models
(2005)Software Product Line (SPL) Engineering has proved to be an effective method for software production. However, in the SPL ...
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CARMEN: A framework for the verification and diagnosis of the specification of security requirements in cyber-physical systems
(Elsevier, 2021)In the last years, cyber-physical systems (CPS) are receiving substantial mainstream attention especially in industrial ...
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Detecting the ultra low dimensionality of real networks
(Nature Research, 2022)Reducing dimension redundancy to find simplifying patterns in high dimensional datasets and complex networks has become a ...
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DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content ...
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Effects of Mindfulness on Conceptual Modeling Performance: a Series of Experiments
(IEEE Computer Society, 2022)Context. Mindfulness is a meditation technique whose main goal is keeping the mind calm and educating attention by focusing ...
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Elastic Smart Contracts in Blockchains
(IEEE Computer Society, 2021)In this paper, we deal with questions related to blockchains in complex Internet of Things (IoT)-based ecosystems. Such ...
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Entity reconciliation in big data sources: A systematic mapping study
(Elsevier, 2017)The entity reconciliation (ER) problem aroused much interest as a research topic in today’s Big Dataera, full of big and ...
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Estimation of Sleep Stages Analyzing Respiratory and Movement Signals
(IEEE, 2021-07)The scoring of sleep stages is an essential part of sleep studies. The main objective of this research is to provide an ...
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External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters ...
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Flexible runtime support of business processes under rolling planning horizons
(Elsevier, 2021)This work has been motivated by the needs we discovered when analyzing real-world processes from the healthcare domain ...
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Generation of synthetic data with Conditional Generative Adversarial Networks
(Oxford University Press, 2022)The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new ...
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Artículo
Model Transformation Modularization as a Many-Objective Optimization Problem
(IEEE Computer Society, 2017)Model transformation programs are iteratively refined, restructured, and evolved due to many reasons such as fixing bugs and ...
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Artículo
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
(Elsevier, 2022-11)Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other ...