Browsing Department of Information and Communication Technology by Author "Beferull-Lozano, Baltasar"
Now showing items 1-20 of 32
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Accurate Graph Filtering in Wireless Sensor Networks
Ben Saad, Leila; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2020)Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet-of-Things (IoT) paradigm. The recent emerging graph signal processing field can also contribute to enabling the IoT by providing ... -
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 ... -
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 ... -
Fast Graph Filters for Decentralized Subspace Projection
Romero, Daniel; Ghari, Siavash Mollaebrahim; Beferull-Lozano, Baltasar; Marco, Cesar Asensio (Peer reviewed; Journal article, 2020)A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their local neighbors to obtain a sequence of ... -
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 Hyperparameter Search Interleaved with Proximal Parameter Updates
Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (Chapter, 2020)There is a clear need for efficient hyperparameter optimization (HO) algorithms for statistical learning, since commonly applied search methods (such as grid search with N-fold cross-validation) are inefficient and/or ... -
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 ... -
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, ... -
Online Topology Identification From Vector Autoregressive Time Series
Zaman, Bakht; Lopez Ramos, Luis Miguel; Romero, Daniel; Beferull-Lozano, Baltasar (Peer reviewed; Journal article, 2020)Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multi-variate data sets in a format amenable for ...