Juan Chiachío

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Dempster Shafer

Mechanical Properties

Top Venues

Reliab. Eng. Syst. Saf.

Eng. Appl. Artif. Intell.

Comput. Aided Civ. Infrastructure Eng.

Publications

Juan Fernández Salas, Juan Chiachío, José Barros, Manuel Chiachío, Chetan S. Kulkarni
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Reliab. Eng. Syst. Saf. 243 (2024)
Masoud Haghbin, Juan Chiachío, Sergio Muñoz, Jose Luis Escalona Franco, Antonio J. Guillén, Adolfo Crespo Marquez, Sergio Cantero-Chinchilla
Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle's Acceleration Measurements. Sensors 24 (14) (2024)
Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, Juan Chiachío, Manuel Chiachío
Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries. Comput. Ind. 155 (2024)
Mohammad Hisham Ismail, Manuel Chiachío, Juan Chiachío, Fernando Arranz
Modelling and Analysis of the Scheduled Maintenance for the Test Cell of the IFMIF DONES Facility. ICSRS (2023)
Morteza Moradi, Agnes Broer, Juan Chiachío, Rinze Benedictus, Theodoros H. Loutas, Dimitrios Zarouchas
Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Juan Fernández, Juan Chiachío, Manuel Chiachío, José Barros, Matteo Corbetta
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns. Eng. Appl. Artif. Intell. 119 (2023)
Juan Fernández, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Eng. Appl. Artif. Intell. 107 (2022)
José Barros, Manuel Chiachío, Juan Chiachío, Frank Cabanilla
Adaptive approximate Bayesian computation by subset simulation for structural model calibration. Comput. Aided Civ. Infrastructure Eng. 37 (6) (2022)
Manuel Chiachío, Ali Saleh, Susannah Naybour, Juan Chiachío, John D. Andrews
Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation. Reliab. Eng. Syst. Saf. 222 (2022)
Sergio Cantero-Chinchilla, James L. Beck, Juan Chiachío, Manuel Chiachío, Dimitrios Chronopoulos
OptiSens - Convex optimization of sensor and actuator placement for ultrasonic guided-wave based structural health monitoring. SoftwareX 13 (2021)
Iván Palomares, Eugenio Martínez-Cámara, Rosana Montes, Pablo García-Moral, Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco J. Melero, Daniel Molina, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Appl. Intell. 51 (9) (2021)
Juan Chiachío, María L. Jalón, Manuel Chiachío, Athanasios Kolios
A Markov chains prognostics framework for complex degradation processes. Reliab. Eng. Syst. Saf. 195 (2020)
Juan Chiachío, Manuel Chiachío, Darren Prescott, John D. Andrews
A knowledge-based prognostics framework for railway track geometry degradation. Reliab. Eng. Syst. Saf. 181 (2019)
Manuel Chiachío, Juan Chiachío, Darren Prescott, John D. Andrews
Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring. Comput. Aided Civ. Infrastructure Eng. 34 (4) (2019)
Manuel Chiachío, Juan Chiachío, Darren Prescott, John D. Andrews
A new paradigm for uncertain knowledge representation by Plausible Petri nets. Inf. Sci. 453 (2018)
Manuel Chiachío, Juan Chiachío, Shankar Sankararaman, Kai Goebel, John D. Andrews
A new algorithm for prognostics using Subset Simulation. Reliab. Eng. Syst. Saf. 168 (2017)
Juan Chiachío, Manuel Chiachío, Shankar Sankararaman, Abhinav Saxena, Kai Goebel
Condition-based prediction of time-dependent reliability in composites. Reliab. Eng. Syst. Saf. 142 (2015)
Juan Manuel Melchor Rodriguez, Guillermo Rus, Nicolas Bochud, Laura Peralta, Juan Chiachío, Manuel Chiachío, Antonio Gómez
Model-based probability of detection of pathologies in soft tissue. IWBBIO (2014)
Juan Chiachío, Manuel Chiachío, Guillermo Rus-Carlborg, Nicolas Bochud, Laura Peralta, Juan Manuel Melchor Rodriguez
Information-theory approach to model class assessment for tissue-engineered cultures consistence evolution. IWBBIO (2014)
Manuel Chiachío, James L. Beck, Juan Chiachío, Guillermo Rus
Approximate Bayesian Computation by Subset Simulation. SIAM J. Sci. Comput. 36 (3) (2014)
Laura Peralta, Guillermo Rus, Nicolas Bochud, Juan Manuel Melchor Rodriguez, Juan Chiachío, Manuel Chiachío
FDTD simulations for ultrasound propagation in a 2-D cervical tissue model. IWBBIO (2014)
Guillermo Rus, Nicolas Bochud, Juan Manuel Melchor Rodriguez, Laura Peralta, Juan Chiachío, Manuel Chiachío, Antonio Gómez
Ultrasonic monitoring of artificial tissue mechanical properties in biorreactor. IWBBIO (2014)