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  • Machine learning-based recovery of thermophysical information from velocity data in supercritical fluids turbulence 

    Masclans Serrat, Núria; Vázquez-Novoa, Fernando; Bernades, Marc; Badia Sala, Rosa Maria; Jofre Cruanyes, Lluís (European Research Community on Flow, Turbulence, and Conbustion (ERCOFTAC), 2023)
    Conference report
    Open Access
    Recent research has shown the possibility to achieve microconfined turbulence utilizing supercritical fluids under high-pressure transcritical conditions. This has generated increasing interest in the hybrid nature of the ...

  • Embedded federated learning over a LoRa mesh network 

    Llisterri i Giménez, Nil; Miquel Solé, Joan; Freitag, Fèlix (Elsevier, 2023-06)
    Article
    Open Access
    In on-device training of machine learning models on microcontrollers a neural network is trained on the device. A specific approach for collaborative on-device training is federated learning. In this paper, we propose ...

  • Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts 

    Gonçalves Ageitos, María; Obiso, Vincenzo; Miller, Ron L.; Jorba Casellas, Oriol; Klose, Martina; Dawson, Matthew; Balkanski, Yves; Perlwitz, Jan; Basart Alpuente, Sara; di Tomaso, Enza; Escribano Alisio, Jeronimo; Macchia, Francesca; Montané Pinto, Gilbert; Mahowald, Natalie; Green, Robert; Thompson, David R.; Pérez García-Pando, Carlos (European Geosciences Union (EGU), 2023-08-04)
    Article
    Open Access
    Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by ...

  • Autopsy of Ethereum's post-merge reward system 

    Cortes Goicoechea, Mikel; Mohandas Daryanani, Tarun; Muñoz Tapia, José Luis; Bautista Gómez, Leonardo (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Like most modern blockchain networks, Ethereum has relied on economic incentives to promote honest participation in the chain's consensus. The distributed character of the platform, together with the "randomness" or "luck" ...

  • Simulation of flash floods in ungauged basins using post-event surveys and numerical modelling 

    Ciervo, Fabio; Papa, Maria Nicolina; Medina Iglesias, Vicente César de; Bateman Pinzón, Allen (John Wiley & sons, 2015-12-01)
    Article
    Restricted access - publisher's policy
    The hydrological and hydraulic processes of the flash flood that affected Atrani village (Amalfi Coast of Southern Italy) on 9 September 2010 are analysed using post-flood surveys and numerical modelling. Observations in ...

  • Enhancing iteration performance on distributed task-based workflows 

    Barceló Cuerda, Alex; Queralt Calafat, Anna; Cortés, Toni (Elsevier, 2023-12)
    Article
    Restricted access - publisher's policy
    Task-based programming models have proven to be a robust and versatile way to approach development of applications for distributed environments. They provide natural programming patterns with high performance. However, ...

  • Multidimensional Fourier series with quantum circuits 

    Casas, Berta; Cervera Lierta, Alba (American Physical Society (APS), 2023-06)
    Article
    Open Access
    Quantum machine learning is the field that aims to integrate machine learning with quantum computation. In recent years, the field has emerged as an active research area with the potential to bring new insights to classical ...

  • Adult Aedes albopictus in winter: implications for mosquito surveillance in southern Europe 

    Lührsen, Daniela Sofie; Zavitsanou, Evangelia; Cerecedo Iglesias, Catuxa; Pardo Araujo, Marta; Palmer, John R B; Bartumeus, Frederic; Montalvo, Tomás; Michaelakis, Antonios; Lowe, Rachel (Elsevier, 2023-09)
    Article
    Open Access

  • Projecting the future incidence and burden of dengue in Southeast Asia 

    Colón González, Felipe J.; Gibb, Rory; Khan, Kamran; Watts, Alexander; Lowe, Rachel; Brady, Oliver J. (Nature Research, 2023)
    Article
    Open Access
    The recent global expansion of dengue has been facilitated by changes in urbanisation, mobility, and climate. In this work, we project future changes in dengue incidence and case burden to 2099 under the latest climate ...

  • Raising awareness of sex and gender bias in artificial intelligence and health 

    Buslón, Nataly; Cortés, Atia; Catuara Solarz, Silvina; Cirillo, Davide; Rementeria, Maria José (Frontiers Media, 2023)
    Article
    Open Access
    Historically, biomedical research has been led by and focused on men. The recent introduction of Artificial Intelligence (AI) in this area has further proven this practice to be discriminatory for other sexes and genders, ...

  • Molecular dynamics simulation of complexation between plasmid DNA and cationic peptides 

    Tsuchiya, Kousuke; Gimenez Dejoz, Joan; Numata, Keiji (Springer Nature, 2023)
    Article
    Open Access
    The elucidation of the process by which cationic peptides condense plasmid DNA (pDNA) is important for unraveling the mechanism of peptide/pDNA complex formation, which plays a vital role in gene delivery for the genetic ...

  • SafeLS: An open source implementation of a lockstep NOEL-V RISC-V core 

    Sarraseca Julian, Marcel; Alcaide Portet, Sergi; Fuentes Díaz, Francisco Javier; Rodríguez Rivas, Juan Carlos; Chang, Feng; Lasfar, Ilham; Canal Corretger, Ramon; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Microcontrollers running safety-critical applications with high integrity requirements must provide appropriate safety measures to manage random hardware faults. For instance, automotive safety regulations (e.g., ISO26262) ...

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