Luciano Sanchez

Professor

University of Oviedo

Spain

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Luciano Sanchez is a Professor at Universidad de Oviedo, Spain. His research focuses on advanced methods in data science and machine learning, particularly in applications related to industrial reliability assessment, optimization strategies, and health monitoring systems. Recent publications highlight his work on Echo State Networks, generative models, and deep learning approaches for battery diagnosis and health assessments.

Articles (20)

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2025

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2021

Collaborators (6)

Jose Otero

Associate Professor

University of Oviedo

SPAIN

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José R. Villar

University of Oviedo

SPAIN

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Julián Velasco

University of Oviedo

SPAIN

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Nahuel Costa Cortez

Assistant Professor

University of Oviedo

SPAIN

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Inés Couso

Professor (Catedrática de Universidad)

University of Oviedo

SPAIN

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Enol García González

Assistant Professor

University of Oviedo

SPAIN

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Luciano Sanchez

Research Interests

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About

Articles (20)

Few-shot generative compression approach for system health monitoring

Data imputation in the frequency domain using Echo State Networks

Addressing data scarcity in industrial reliability assessment with Physically Informed Echo State Networks

Slime Mould Metaheuristic for optimization and robot path planning

Integrating imprecise data in generative models using interval-valued Variational Autoencoders

ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

Stochastic dominance and statistical preference for random variables coupled by arbitrary copulas

Stochastic dominance and statistical preference for random variables coupled by arbitrary copulas

ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection

Simplified models of remaining useful life based on stochastic orderings

Physics-informed learning under epistemic uncertainty with an application to system health modeling

Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment

Li-ion battery degradation modes diagnosis via Convolutional Neural Networks

IS LIQUEFIED NATURAL GAS AN ALTERNATIVE TO NON-ELECTRIFIED RAIL TRACTION?

Variational encoding approach for interpretable assessment of remaining useful life estimation

The Null Space of Fuzzy Inclusion Measures

Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data

Ex-post correction of pacemaker mode switch episodes in undersensed atrial fibrillation

Artificial Intelligence Applied to Evaluate Emissions and Energy Consumption in Commuter Railways: Comparison of Liquefied Natural Gas as an Alternative Fuel to Diesel

Electrification of the low cost competition vehicle. a paradigma change,Electrificación del vehículo de competición de bajo coste. Un cambio de paradigm

Collaborators (6)

Jose Otero

José R. Villar

Julián Velasco

Nahuel Costa Cortez

Inés Couso

Enol García González

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