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Published in 2020 at "Software and Systems Modeling"
DOI: 10.1007/s10270-020-00783-9
Abstract: The network functions virtualization (NFV) advent is making way for the rapid deployment of network services (NS) for telecoms. Automation of network service management is one of the main challenges currently faced by the NFV…
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Keywords:
model driven;
process enactment;
process;
nfv systems ... See more keywords
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Published in 2020 at "Software and Systems Modeling"
DOI: 10.1007/s10270-020-00812-7
Abstract: This theme section aims to disseminate the latest trends in the use and combination of Model-Driven Engineering (MDE) and Component-Based Software Engineering (CBSE). On the one hand, MDE aims to increase productivity in the development…
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Keywords:
theme section;
engineering;
model driven;
component based ... See more keywords
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Published in 2021 at "Software and Systems Modeling"
DOI: 10.1007/s10270-021-00905-x
Abstract: Recommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are…
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Keywords:
recommender;
systems model;
model driven;
recommender systems ... See more keywords
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Published in 2022 at "Software and Systems Modeling"
DOI: 10.1007/s10270-021-00908-8
Abstract: Mobile robots operate in various environments (e.g. aquatic, aerial, or terrestrial), they come in many diverse shapes and they are increasingly becoming parts of our lives. The successful engineering of mobile robotics systems demands the…
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Keywords:
model driven;
mde approaches;
engineering;
robotics ... See more keywords
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Published in 2025 at "Software and Systems Modeling"
DOI: 10.1007/s10270-024-01235-4
Abstract: Generative artificial intelligence (AI) systems are capable of synthesizing complex artifacts such as text, source code or images according to the instructions provided in a natural language prompt. The quality of the input prompt, in…
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Keywords:
framework;
prompt engineering;
engineering;
language ... See more keywords
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Published in 2024 at "Software and Systems Modeling"
DOI: 10.1007/s10270-025-01263-8
Abstract: Model-driven engineering (MDE) has seen significant advancements with the integration of machine learning (ML) and deep learning techniques. Building upon the groundwork of previous investigations, our study provides a concise overview of current large language…
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Keywords:
large language;
driven engineering;
language;
language models ... See more keywords
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Published in 2020 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-020-00366-3
Abstract: Model-driven engineering (MDE) promotes the use of models throughout the software development cycle in order to increase abstraction and reduce software complexity. It favors the definition of domain-specific modeling languages (DSMLs) thanks to frameworks dedicated…
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Keywords:
engineering;
mde;
model driven;
model ... See more keywords
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Published in 2017 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-016-0404-1
Abstract: Currently, videogame development for mobile devices is a highly profitable and competitive industry worldwide. This profitability can be ascribed to the popularity that new technologies such as smartphones and tablets have acquired over the last…
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Keywords:
driven approach;
model driven;
model;
use case ... See more keywords
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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.492
Abstract: Abstract In order to achieve its goal in using intelligent adaptive and predictive technical systems with self-X functions and cognitive information processing in continuous interaction with environment, the Industry 4.0 initiative implies integration of Cyber-Physical…
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Keywords:
agent;
driven development;
cyber physical;
model driven ... See more keywords
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Published in 2020 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2019.100282
Abstract: Abstract Background Skin cancer is a common form of cancer, and early detection increases the survival rate. Objective To build deep learning models to classify dermal cell images and detect skin cancer. Methods A model-driven…
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Keywords:
dermal cell;
cell images;
deep learning;
model driven ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.07.071
Abstract: Abstract Face sketch synthesis refers to the technique generating a sketch from an input photo. Existing methods are data-driven, which synthesize a sketch by linearly combining K candidate sketch patches which are purposely selected from…
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Keywords:
face sketch;
data driven;
sketch synthesis;
model driven ... See more keywords