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Digital health and care study on elderly monitoring
(MDPI, 2021)
Sustainable technologies are being increasingly used in various areas of human life. While they have a multitude of benefits, they are especially useful in health monitoring, especially for certain groups of people, such ...
Artículo
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Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(ScienceDirect, 2021-08-18)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly focused on pushing the state-of-the-art in the general-purpose COCO benchmark. However, the use of ...
Artículo
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Energy efficient adaptation engines for android applications
(Elsevier, 2020)
Context The energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible ...
Artículo
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CAFE: Knowledge graph completion using neighborhood-aware features
(Elsevier, 2021)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they ...
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Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
(Wiley, 2022)
The safety operation and management of hydropower dam play a critical role in social-economic development and ensure people’s safety in many countries; therefore, modeling and forecasting the hydropower dam’s deformations ...
Ponencia
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An Approach for the Automated Generation of Engaging Dashboards
(Springer, 2019)
Organizations use Key Performance Indicators (KPIs) to monitor whether they attain their goals. To support organizations at tracking the performance of their business, software vendors offer dash boards to these ...
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Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023-06-28)
Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes between nodes, represented as embeddings. GNNs have recently become popular because of their ...
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Context-dependent reconfiguration of autonomous vehicles in mixed traffic
(Wiley, 2018)
Human drivers naturally adapt their behaviour depending on the traffic conditions, such as the current weather and road type. Autonomous vehicles need to do the same, in a way that is both safe and efficient in traffic ...
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Energy-Efficient Indoor Localization WiFi-Fingerprint System: An Experimental Study
(IEEE Computer Society, 2019)
In order to apply indoor localization systems in real environments it is necessary to provide an accurate location without implying a high impact on the user's normal behaviour. To achieve this goal, in this paper, a ...
Ponencia
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Empirical strategies in software engineering research: a literature survey
(IEEE Computer Society, 2021)
Context: The Software Engineering (SE) research continues to gain strength and interest for researchers considering the need to apply rigor and scientific validity to research results. Objective: Establishing an overview ...