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Walking Recognition in Mobile Devices
(MDPI AG, 2020-02-21)
[Abstract] Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for ...
Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments
(Multidisciplinary Digital Publishing Institute, 2013)
To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services ...
Efficient Parallel Numerical Solver for the Elastohydrodynamic Reynolds–Hertz Problem
(Elsevier BV * North-Holland, 2001-12-01)
[Abstract] This work presents a parallel version of a complex numerical algorithm for solving an elastohydrodynamic piezoviscous lubrication problem studied in tribology. The numerical algorithm combines regula falsi, fixed ...
Mobile Robot Positioning with 433-MHz Wireless Motes with Varying Transmission Powers and a Particle Filter
(Multidisciplinary Digital Publishing Institute, 2015)
In wireless positioning systems, the transmitter’s power is usually fixed. In this paper, we explore the use of varying transmission powers to increase the performance of a wireless localization system. To this extent, we ...
Concept Drift Detection and Adaptation for Federated and Continual Learning
(Springer, 2021)
[Abstract] Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning models, which can significantly ...
Towards a Self-Sufficient Face Verification System
(Elsevier, 2021)
[Abstract] The absence of a previous collaborative manual enrolment represents a significant handicap towards designing a face verification system for face re-identification purposes. In this scenario, the system must learn ...
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition
(Elsevier, 2022)
[Abstract] Deep Learning approaches have brought solutions, with impressive performance, to general classification problems where wealthy of annotated data are provided for training. In contrast, less progress has been ...
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
(Elsevier, 2022)
[Abstract] Federated Learning is a novel framework that allows multiple devices or institutions to train a machine learning model collaboratively while preserving their data private. This decentralized approach is prone ...