| A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects I Palomares, E Martínez-Cámara, R Montes, P García-Moral, M Chiachio, ... Applied Intelligence 51, 6497-6527, 2021 | 228 | 2021 |
| Reliability in composites–A selective review and survey of current development M Chiachio, J Chiachio, G Rus Composites Part B: Engineering 43 (3), 902-913, 2012 | 199 | 2012 |
| Approximate Bayesian computation by subset simulation M Chiachio, JL Beck, J Chiachio, G Rus SIAM Journal on Scientific Computing 36 (3), A1339-A1358, 2014 | 137 | 2014 |
| A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones Mechanical Systems and Signal Processing 122, 192-205, 2019 | 120 | 2019 |
| Condition-based prediction of time-dependent reliability in composites J Chiachío, M Chiachío, S Sankararaman, A Saxena, K Goebel Reliability Engineering & System Safety 142, 134-147, 2015 | 97 | 2015 |
| Bayesian model selection and parameter estimation for fatigue damage progression models in composites J Chiachío, M Chiachío, A Saxena, S Sankararaman, G Rus, K Goebel International Journal of Fatigue 70, 361-373, 2015 | 85 | 2015 |
| Structural digital twin framework: Formulation and technology integration M Chiachío, M Megía, J Chiachío, J Fernandez, ML Jalón Automation in Construction 140, 104333, 2022 | 80 | 2022 |
| Optimal sensor configuration for ultrasonic guided-wave inspection based on value of information S Cantero-Chinchilla, J Chiachío, M Chiachío, D Chronopoulos, A Jones Mechanical Systems and Signal Processing 135, 106377, 2020 | 57 | 2020 |
| A Markov chains prognostics framework for complex degradation processes J Chiachío, ML Jalón, M Chiachío, A Kolios Reliability Engineering & Systems Safety, 2019 | 55 | 2019 |
| Predicting fatigue damage in composites: A Bayesian framework M Chiachío, J Chiachío, G Rus, JL Beck Structural Safety 51, 57-68, 2014 | 54 | 2014 |
| Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization S Cantero-Chinchilla, JL Beck, M Chiachío, J Chiachío, D Chronopoulos, ... Mechanical Systems and Signal Processing 144, 106901, 2020 | 51 | 2020 |
| A multilevel Bayesian method for ultrasound-based damage identification in composite laminates J Chiachío, N Bochud, M Chiachío, S Cantero, G Rus Mechanical Systems and Signal Processing 88, 462-477, 2017 | 50 | 2017 |
| Intelligent health indicator construction for prognostics of composite structures utilizing a semi-supervised deep neural network and SHM data M Moradi, A Broer, J Chiachío, R Benedictus, TH Loutas, D Zarouchas Engineering Applications of Artificial Intelligence 117, 105502, 2023 | 49 | 2023 |
| Uncertainty quantification in neural networks by approximate Bayesian computation: Application to fatigue in composite materials J Fernandez, M Chiachio, J Chiachio, R Munoz, F Herrera Engineering Applications of Artificial Intelligence 107, 104511, 2022 | 45 | 2022 |
| An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites J Chiachío, M Chiachío, A Saxena, G Rus, K Goebel Annual Conference of the Prognostics and Health Management Society, 2013, 2013 | 44 | 2013 |
| Logical inference for inverse problems G Rus, J Chiachío, M Chiachío Inverse Problems in Science and Engineering 24 (3), 448-464, 2016 | 37 | 2016 |
| A knowledge-based prognostics framework for railway track geometry degradation J Chiachío, M Chiachío, D Prescott, J Andrews Reliability Engineering & System Safety 181, 127-141, 2019 | 34 | 2019 |
| A new paradigm for uncertain knowledge representation by Plausible Petri nets M Chiachío, J Chiachío, D Prescott, J Andrews Information Sciences 453, 323-345, 2018 | 32 | 2018 |
| A new algorithm for prognostics using Subset Simulation M Chiachio, J Chiachio, S Sankararaman, K Goebel, J Andrews Reliability Engineering & System Safety 168, 189-199, 2017 | 31 | 2017 |
| A Bayesian approach for damage assessment in welded structures using Lamb-wave surrogate models and minimal sensing MA Fakih, M Chiachio, J Chiachio, S Mustapha NDT & E International 128, 102626, 2022 | 30 | 2022 |
Guillermo RusUniversity of GranadaEmail verificata su ugr.es