Basque Center for Applied Mathematics -ko ikertzaileekin lankidetzan egindako argitalpenak (24)

2024

  1. Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate

    Renewable Energy, Vol. 227

  2. Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology

    Ocean Engineering, Vol. 310

  3. Quantum Genetic Algorithm with Individuals in Multiple Registers

    IEEE Transactions on Evolutionary Computation, Vol. 28, Núm. 3, pp. 788-797

  4. Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches

    Ocean Engineering, Vol. 311

2023

  1. Fault diagnosis of floating offshore wind farms, a benchmark case study

    IFAC-PapersOnLine

  2. Faulty wind farm simulation: An estimation/control-oriented model

    Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022

  3. Random access codes via quantum contextual redundancy

    Quantum, Vol. 7

  4. SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country

    Proceedings - 2023 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023

2022

  1. Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence

    Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022

2021

  1. Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation

    Neurocomputing, Vol. 462, pp. 426-439

  2. In-depth analysis of SVM kernel learning and its components

    Neural Computing and Applications, Vol. 33, Núm. 12, pp. 6575-6594

2020

  1. Bayesian Optimization Approaches for Massively Multi-modal Problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Evolving Gaussian Process Kernels for Translation Editing Effort Estimation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization

    IEEE Access, Vol. 7, pp. 184294-184302

  2. Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0

    Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43

  3. On the relevance of preprocessing in predictive maintenance for dynamic systems

    Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications (Springer International Publishing), pp. 53-92

  4. Sentiment analysis with genetically evolved Gaussian kernels

    GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference

  5. Some lower bounds for solutions of Schrodinger evolutions

    SIAM Journal on Mathematical Analysis, Vol. 51, Núm. 4, pp. 3324-3336

2018

  1. Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation

    Analytica Chimica Acta, Vol. 1013, pp. 1-12

2017

  1. A numerical study on the hydrodynamic impact of device slenderness and array size in wave energy farms in realistic wave climates

    Ocean Engineering, Vol. 142, pp. 224-232