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Dervilis, Nikolaos

  1. On statistic alignment for domain adaptation in structural health monitoring
    2022/05/24 by J.E. Poole, Paul Gardner, Poole, Jack +7 · 4 citations
    Engineering · #Infrastructure Maintenance and Monitoring #Structural Health Monitoring Techniques #Concrete Corrosion and Durability
  2. VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems
    2023/04/11 by Thomas J. Simpson, Konstantinos Vlachas, Simpson, Thomas +7 · 3 citations
    Computer Science · Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Model Reduction and Neural Networks #Modeling and Simulation Systems #Numerical Analysis (math.NA) #Real-time simulation and control systems #and Science (cs.CE)
  3. Quantifying the value of information transfer in population-based SHM
    2023/11/06 by Aidan J. Hughes, Hughes, Aidan J., Jack Poole +7 · 2 citations
    Engineering · #Applications (stat.AP) #Concrete Corrosion and Durability #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Structural Health Monitoring Techniques
  4. On topological data analysis for structural dynamics: an introduction to persistent homology
    2022/09/12 by Tristan Gowdridge, Nikolaos Dervilis, Gowdridge, Tristan +3 · 1 citation
    Computer Science · #Chaotic Dynamics (nlin.CD) #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis #and Science (cs.CE)
  5. Multitask learning for improved scour detection: A dynamic wave tank study
    2024/08/29 by Simon M. Brealy, Aidan J. Hughes, Brealy, Simon M. +11 · 1 citation
    Environmental Science · #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Hydrology and Sediment Transport Processes #Machine Learning (cs.LG) #Water Quality Monitoring Technologies