Publicaciones en las que colabora con MANUEL CHIACHIO RUANO (65)

2024

  1. Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics

    Reliability Engineering and System Safety, Vol. 243

  2. Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries

    Computers in Industry, Vol. 155

2023

  1. Modelling and Analysis of the Scheduled Maintenance for the Test Cell of the IFMIF DONES Facility

    2023 7th International Conference on System Reliability and Safety, ICSRS 2023

  2. Optimized Petri Net Model for Condition-Based Maintenance of a Turbine Blade

    Lecture Notes in Mechanical Engineering

  3. Particle Filter-Based Delamination Shape Prediction in Composites

    Lecture Notes in Civil Engineering

  4. Particle filter-based delamination shape prediction in composites subjected to fatigue loading

    Structural Health Monitoring, Vol. 22, Núm. 3, pp. 1844-1862

  5. Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns

    Engineering Applications of Artificial Intelligence, Vol. 119

2022

  1. A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing

    NDT and E International, Vol. 128

  2. A cross-sectoral review of the current and potential maintenance strategies for composite structures

    SN Applied Sciences, Vol. 4, Núm. 6

  3. Adaptive approximate Bayesian computation by subset simulation for structural model calibration

    Computer-Aided Civil and Infrastructure Engineering, Vol. 37, Núm. 6, pp. 726-745

  4. Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS

    Probabilistic Safety Assessment and Management, PSAM 2022

  5. Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS

    Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

  6. Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation

    Reliability Engineering and System Safety, Vol. 222

  7. Robust optimal sensor configuration using the value of information

    Structural Control and Health Monitoring, Vol. 29, Núm. 12

  8. Structural digital twin framework: Formulation and technology integration

    Automation in Construction, Vol. 140

  9. Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

    Engineering Applications of Artificial Intelligence, Vol. 107

2021

  1. A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

    Applied Intelligence, Vol. 51, Núm. 9, pp. 6497-6527

  2. Inteligencia artificial y tecnologías digitales para los ODS

    Real Academia de Ingeniería

  3. OptiSens—Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring

    SoftwareX, Vol. 13

  4. Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys

    Sustainability (Switzerland), Vol. 13, Núm. 11