Enrico Zio
Control and Systems Engineering · 1992–2022
A researcher in the Science corpus: 25 papers; trusts 100 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 101 citations into it; #2,276 of 8,257 by trust here, #1,122 by citations
- Statistics and Probability — 75 citations into it; #9,840 of 12,932 by trust here, #5,294 by citations
- Artificial Intelligence — 62 citations into it; #33,067 of 35,345 by trust here, #31,361 by citations
- Mechanical Engineering — 51 citations into it
- Civil and Structural Engineering — 43 citations into it; #3,265 of 6,160 by trust here, #3,042 by citations
- Mechanics of Materials — 30 citations into it
- Safety, Risk, Reliability and Quality — 29 citations into it; #542 of 1,220 by trust here, #484 by citations
- Electrical and Electronic Engineering — 28 citations into it
Whom Enrico Zio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Terje Aven
- Nima Khakzad
- Reuven Y. Rubinstein
- Adam Rose
- Lotfi A. Zadeh
- Lenore Lauri Newman
- Didier Dubois
- Gian Paolo Cimellaro
- Hamed Amini
- Arnaud Doucet
Who trusts Enrico Zio overall
- Terje Aven
- Jason Deutsch
- Dawn An
- Chong Zhang
- Olga Fink
- Racha Khelif
- Sharif Rahman
- David He
- Zhaoyi Xu
- Theja Tulabandhula
Papers from Enrico Zio's perspective
Ordered by how strongly the researchers Enrico Zio trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer (2013) — 94 citations
- Some considerations on the treatment of uncertainties in risk assessment for practical decision making (2011) — 345 citations
- Prognostics and health management: A review from the perspectives of design, development and decision (2022) — 297 citations
- Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation (2022) — 83 citations
- Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice (2021) — 651 citations
- Deep Learning with Long Short-Term Memory Networks for Diagnosing Faults in Smart Grids (2021)
- A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer (2021) — 529 citations
- Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm (2020) — 100 citations
- Probabilistic-based combined high and low cycle fatigue assessment for turbine blades using a substructure-based kriging surrogate model (2020) — 79 citations
- Remaining useful life prediction using multi-scale deep convolutional neural network (2020) — 353 citations
- Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture (2019) — 341 citations
- Artificial intelligence for fault diagnosis of rotating machinery: A review (2018) — 1,920 citations
- The future of risk assessment (2018) — 321 citations
- Challenges in the vulnerability and risk analysis of critical infrastructures (2016) — 402 citations
- Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method (2015) — 53 citations
- Uncertainty in Risk Assessment (2014) — 57 citations
- Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model (2013) — 47 citations
- The Monte Carlo Simulation Method for System Reliability and Risk Analysis (2012) — 437 citations
- Particle filtering prognostic estimation of the remaining useful life of nonlinear components (2011) — 352 citations
- A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system (2010) — 320 citations