Juan Chiachío

Orcid: 0000-0003-1243-8694

Affiliations:
  • University of Granada, Department of Structural Mechanics and Hydraulic Engineering, Spain
  • University of Nottingham, Faculty of Engineering, UK


According to our database1, Juan Chiachío authored at least 21 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics.
Reliab. Eng. Syst. Saf., March, 2024

Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries.
Comput. Ind., February, 2024

2023
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns.
Eng. Appl. Artif. Intell., March, 2023

Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data.
Eng. Appl. Artif. Intell., 2023

Modelling and Analysis of the Scheduled Maintenance for the Test Cell of the IFMIF DONES Facility.
Proceedings of the 7th International Conference on System Reliability and Safety, 2023

2022
Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation.
Reliab. Eng. Syst. Saf., 2022

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials.
Eng. Appl. Artif. Intell., 2022

Adaptive approximate Bayesian computation by subset simulation for structural model calibration.
Comput. Aided Civ. Infrastructure Eng., 2022

2021
OptiSens - Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring.
SoftwareX, 2021

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Appl. Intell., 2021

2020
A Markov chains prognostics framework for complex degradation processes.
Reliab. Eng. Syst. Saf., 2020

2019
A knowledge-based prognostics framework for railway track geometry degradation.
Reliab. Eng. Syst. Saf., 2019

Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring.
Comput. Aided Civ. Infrastructure Eng., 2019

2018
A new paradigm for uncertain knowledge representation by Plausible Petri nets.
Inf. Sci., 2018

2017
A new algorithm for prognostics using Subset Simulation.
Reliab. Eng. Syst. Saf., 2017

2015
Condition-based prediction of time-dependent reliability in composites.
Reliab. Eng. Syst. Saf., 2015

2014
Approximate Bayesian Computation by Subset Simulation.
SIAM J. Sci. Comput., 2014

Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

FDTD simulations for ultrasound propagation in a 2-D cervical tissue model.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Model-based probability of detection of pathologies in soft tissue.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014


  Loading...