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ORCIDJuan Chiachío
Person information
- affiliation: University of Granada, Department of Structural Mechanics and Hydraulic Engineering, Spain
- affiliation: University of Nottingham, Faculty of Engineering, UK
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2020 – today
- 2024
[j17]Juan Fernández Salas
, 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: 104058 (2024)- [j16]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: 109822 (2024) - [j15]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): 4627 (2024) - 2023
- [j14]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): 105502 (2023) - [j13]Juan Fernández Salas, 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: 105790 (2023) - [c5]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: 137-143 - 2022
- [j12]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): 726-745 (2022) - [j11]Juan Fernández Salas, 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: 104511 (2022) - [j10]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: 108365 (2022) - 2021
- [j9]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): 6497-6527 (2021) - [j8]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: 100643 (2021) - 2020
- [j7]Juan Chiachío, María L. Jalón, Manuel Chiachío, Athanasios Kolios:
A Markov chains prognostics framework for complex degradation processes. Reliab. Eng. Syst. Saf. 195: 106621 (2020)
2010 – 2019
- 2019
- [j6]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): 281-298 (2019) - [j5]Juan Chiachío, Manuel Chiachío, Darren Prescott, John D. Andrews:
A knowledge-based prognostics framework for railway track geometry degradation. Reliab. Eng. Syst. Saf. 181: 127-141 (2019) - 2018
- [j4]Manuel Chiachío, Juan Chiachío, Darren Prescott, John D. Andrews:
A new paradigm for uncertain knowledge representation by Plausible Petri nets. Inf. Sci. 453: 323-345 (2018) - 2017
- [j3]Manuel Chiachío, Juan Chiachío, Shankar Sankararaman, Kai Goebel, John D. Andrews:
A new algorithm for prognostics using Subset Simulation. Reliab. Eng. Syst. Saf. 168: 189-199 (2017) - 2015
- [j2]Juan Chiachío, Manuel Chiachío, Shankar Sankararaman, Abhinav Saxena, Kai Goebel:
Condition-based prediction of time-dependent reliability in composites. Reliab. Eng. Syst. Saf. 142: 134-147 (2015) - 2014
- [j1]Manuel Chiachío, James L. Beck, Juan Chiachío, Guillermo Rus:
Approximate Bayesian Computation by Subset Simulation. SIAM J. Sci. Comput. 36(3) (2014) - [c4]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: 77-83 - [c3]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: 85-96 - [c2]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: 97-107 - [c1]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: 108
Coauthor Index
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