Blar i AURA på forfatter "Beferull-Lozano, Baltasar"
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Adaptive Medium Access Control for Distributed Processing in Wireless Sensor Networks
Asensio-Marco, César; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2018) -
Channel Gain Cartography via Mixture of Experts
Lopez Ramos, Luis Miguel; Teganya, Yves; Beferull-Lozano, Baltasar; Kim, Seung-Jun (Journal article; Peer reviewed, 2020) -
Consensus-Based Distributed State Estimation of Biofilm in Reverse Osmosis Membranes by WSNs
Alonso, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2017)The appearance of biofilm has become a serious problem in many reverse osmosis based systems such as the ones found in water treatment and desalination plants. In these systems, the use of traditional techniques such as ... -
Cross-layer MAC Protocol for Unbiased Average Consensus under Random Interference
Asensio-Marco, César; Alonso-Román, Daniel; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2018)Wireless Sensor Networks have been revealed as a powerful technology to solve many different problems through sensor nodes cooperation. One important cooperative process is the so-called average gossip algorithm, which ... -
Cyber-Physical Systems for Smart Water Networks: A Review
Bhardwaj, Jyotirmoy; Krishnan, Joshin Parakkulangarayil; Marin, Diego F. Larios; Beferull-Lozano, Baltasar; Cenkeramaddi, Linga Reddy; Harman, Christopher Peter (Peer reviewed; Journal article, 2021)There is a growing demand to equip Smart Water Networks (SWN) with advanced sensing and computation capabilities in order to detect anomalies and apply autonomous event-triggered control. Cyber-Physical Systems (CPSs) have ... -
Decentralized subspace projection in large networks
Ghari, Siavash Mollaebrahim; Asensio-Marco, César; Romero, Daniel; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018) -
Dynamic network identification from non-stationary vector autoregressive time series
Lopez-Ramos, Luis M.; Romero, Daniel; Zaman, Bakht; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018) -
Energy Efficient Consensus Over Directed Graphs
Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)Consensus algorithms are iterative methods that represent a basic building block to achieve superior functionalities in increasingly complex sensor networks by facilitating the implementation of many signal-processing tasks ... -
Experimental Validation for Spectrum Cartography using Adaptive Multi-kernels
Idsøe, Henning; Hamid, Mohamed; Cenkeramaddi, Linga Reddy; Jordbru, Thomas; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2017) -
Fast Distributed Subspace Projection via Graph Filters
Weerasinghe, Thilina Nuwan; Romero, Daniel; Asensio-Marco, César; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)A significant number of linear inference problems in wireless sensor networks can be solved by projecting the observed signal onto a given subspace. Decentralized approaches avoid the need for performing such an operation ... -
Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models
Cardenas, Juan Diego; Elnourani, Mohamed Gafar Ahmed; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2022)Aquaponic systems provide a reliable solution to grow vegetables while cultivating fish (or other aquatic organisms) in a controlled environment. The main advantage of these systems compared with traditional soil-based ... -
Joint Topology and Radio Resource Optimization for Device-to-Device Based Mobile Social Networks
Hamid, Mohamed; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)In this paper, we consider a joint topology and radio resource optimization for device-to-device (D2D) based mobile social networks. The considered social network is an interest based which is modeled as a d -intersection ... -
Localization-Free Power Cartography
Teganya, Yves; Lopez-Ramos, Luis M.; Romero, Daniel; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2018)Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using measurements of spatially distributed sensors. Applications of these maps include ... -
Location-Free Spectrum Cartography
Teganya, Yves; Romero, Daniel; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2019) -
Low-complexity detection for uplink massive MIMO SCMA systems
Sharma, Sanjeev; Deka, Kuntal; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2020) -
Online Edge Flow Imputation on Networks
Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar; Isufi, Elvin (Peer reviewed; Journal article, 2022)An online algorithm for missing data imputation for networks with signals defined on the edges is presented. Leveraging the prior knowledge intrinsic to real-world networks, we propose a bi-level optimization scheme that ... -
Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs
Money, Rohan Thekkemarickal; Krishnan, Joshin Parakkulangarayil; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2022)Extracting causal graph structures from multivariate time series, termed topology identification, is a fundamental problem in network science with several important applications. Topology identification is a challenging ... -
Online Machine Learning for Graph Topology Identification from Multiple Time Series
Zaman, Bakht (Doctoral Dissertations at the University of Agder; no. 298, Doctoral thesis, 2020)High dimensional time series data are observed in many complex systems. In networked data, some of the time series are influenced by other time series. Identifying these relations encoded in a graph structure or topology ... -
An Online Multiple Kernel Parallelizable Learning Scheme
Moreno, Emilio Ruiz; Beferull-Lozano, Baltasar (Journal article; Peer reviewed, 2023)The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be challenging and computationally demanding, ... -
Quantization in Graph Convolutional Neural Networks
Saad, Leila Ben; Beferull-Lozano, Baltasar (Chapter; Peer reviewed, 2021)