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On-demand serverless video surveillance with optimal deployment of deep neural networks
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] We present an approach to optimally deploy Deep Neural Networks (DNNs) in serverless cloud architectures.
A serverless architecture allows running code in response to events, automatically managing the required
computing ...
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
(Public Library Science, 2015-07-09)
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. ...
Enhancing VTOL Multirotor Performance with a Passive Rotor Tilting Mechanism
(IEEE-Institute of Electrical and Electronics Engineers, 2021-04-23)
This article discusses the benefits of introducing a simple passive mechanism to enable rotor tilting in Vertical Take-Off and Landing (VTOL) multirotor vehicles. Such a system is evaluated in relevant Urban Air Mobility ...
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization
(Elsevier, 2022-04)
[EN] The control of Variable-Speed Wind-Turbines (VSWT) extracting electrical power from the wind kinetic energy are composed of subsystems that need to be controlled jointly, namely the blade pitch and the generator torque ...
Video Activity Recognition: State-of-the-Art
(MDPI, 2019-07-18)
Video activity recognition, although being an emerging task, has been the subject of important research efforts due to the importance of its everyday applications. Surveillance by video cameras could benefit greatly by ...
RANSAC for Robotic Applications: A Survey
(2022-12-28)
Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a ...
Automatic feedback and assessment of team-coding assignments in a DevOps context
(Springer, 2023)
We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software ...
Towards the Use of Similarity Distances to Music Genre Classification: a Comparative Study
(Public Library Science, 2018-02-14)
Music genre classification is a challenging research concept, for which open questions remain regarding classification approach, music piece representation, distances between/within genres, and so on. In this paper an ...
Towards zero-shot cross-lingual named entity disambiguation
(Elsevier, 2021-12-01)
[EN]In cross-Lingual Named Entity Disambiguation (XNED) the task is to link Named Entity mentions in text in some native language to English entities in a knowledge graph. XNED systems usually require training data for ...
Image captioning for effective use of language models in knowledge-based visual question answering
(Elsevier, 2023-02)
Integrating outside knowledge for reasoning in visio-linguistic tasks such as visual question answering (VQA) is an open problem. Given that pretrained language models have been shown to include world knowledge, we propose ...