Articles de revista
Recent Submissions
-
A new strategy for multitarget drug discovery/repositioning through the identification of similar 3D amino acid patterns among proteins structures: The case of Tafluprost and its efects on cardiac ion channels
(Frontiers Media SA, 2022-03-18)
Article
Open AccessThe identification of similar three-dimensional (3D) amino acid patterns among different proteins might be helpful to explain the polypharmacological profile of many currently used drugs. Also, it would be a reasonable ... -
Adaptive power shifting for power-constrained heterogeneous systems
(Institute of Electrical and Electronics Engineers (IEEE), 2022-05-12)
Article
Open AccessThe number and heterogeneity of compute devices, even within a single compute node, has been steadily on the rise. Since all systems must operate under a power cap, the number of discrete devices that can run simultaneously ... -
Deep learning-based real-time analysis of lightpath optical constellations [Invited]
(Institute of Electrical and Electronics Engineers (IEEE), 2022-06-01)
Article
Restricted access - publisher's policyOptical network automation requires accurate physical layer models, not only for provisioning but also for real-time analysis. In particular, In-Phase (I) and Quadrature (Q) constellation analysis enables deep understanding ... -
Non-linear models for black carbon exposure modelling using air pollution datasets
(Elsevier, 2022-09-01)
Article
Open AccessBlack carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ... -
Multi-GPU design and performance evaluation of homomorphic encryption on GPU clusters
(2021-02-01)
Article
Open AccessWe present a multi-GPU design, implementation and performance evaluation of the Halevi-Polyakov-Shoup (HPS) variant of the Fan-Vercauteren (FV) levelled Fully Homomorphic Encryption (FHE) scheme. Our design follows a data ... -
Clustering and graph mining techniques for classification of complex structural variations in cancer genomes
(Nature, 2022-02-28)
Article
Open AccessFor many years, a major question in cancer genomics has been the identification of those variations that can have a functional role in cancer, and distinguish from the majority of genomic changes that have no functional ... -
Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios
(2022-03)
Article
Open AccessThis paper describes the application of acceleration techniques into existing implementations of Sequential Gaussian Simulation and Sequential Indicator Simulation. These implementations might incorporate Locally Varying ... -
Intent-based networking and its application to optical networks [invited tutorial]
(2022-01-01)
Article
Restricted access - publisher's policyThe intent-based networking (IBN) paradigm targets defining high-level abstractions so network operators can define what their desired outcomes are without specifying how they would be achieved. The latter can be achieved ... -
IGNNITION: Bridging the gap between graph neural networks and networking systems
(2021-11)
Article
Open AccessRecent years have seen the vast potential of graph neural networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, recommender systems). In particular, GNNs are becoming increasingly popular in ... -
H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
(Elsevier, 2021-06)
Article
Open AccessThe H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a ... -
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
(2021-07-01)
Article
Open AccessDuring the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in ... -
Packet flow capacity autonomous operation based on reinforcement learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-12)
Article
Open AccessAs the dynamicity of the traffic increases, the need for self-network operation becomes more evident. One of the solutions that might bring cost savings to network operators is the dynamic capacity management of large ...
RSS 1.0