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Alfredo Núñez
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2020 – today
- 2024
- [j27]Yuanchen Zeng, Alfredo Núñez Vicencio
, Zili Li:
Railway sleeper vibration measurement by train-borne laser Doppler vibrometer and its speed-dependent characteristics. Comput. Aided Civ. Infrastructure Eng. 39(16): 2408-2426 (2024) - [j26]Taniya Kapoor
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. Eng. Appl. Artif. Intell. 133: 108085 (2024) - [j25]Raúl Morales
Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile. Expert Syst. Appl. 235: 121179 (2024) - [j24]Taniya Kapoor
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5981-5995 (2024) - [c30]Taniya Kapoor
Neural Oscillators for Generalization of Physics-Informed Machine Learning. AAAI 2024: 13059-13067 - 2023
- [j23]Marko Kapetanovic
Energy model of a fuel cell hybrid-electric regional train in passenger transport service and vehicle-to-grid applications. J. Rail Transp. Plan. Manag. 28: 100415 (2023) - [i5]Taniya Kapoor
Physics-informed neural networks for solving forward and inverse problems in complex beam systems. CoRR abs/2303.01055 (2023) - [i4]Taniya Kapoor
Physics-informed machine learning for moving load problems. CoRR abs/2304.00369 (2023) - [i3]Taniya Kapoor
Neural oscillators for generalization of physics-informed machine learning. CoRR abs/2308.08989 (2023) - [i2]Taniya Kapoor
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations. CoRR abs/2311.00578 (2023) - 2022
- [j22]Marko Kapetanovic
Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains. J. Rail Transp. Plan. Manag. 23: 100338 (2022) - [j21]Jianfeng Fu
Real-Time UAV Routing Strategy for Monitoring and Inspection for Postdisaster Restoration of Distribution Networks. IEEE Trans. Ind. Informatics 18(4): 2582-2592 (2022) - [j20]Junping Zhong
Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways. IEEE Trans. Intell. Transp. Syst. 23(2): 1109-1120 (2022) - [c29]Wassamon Phusakulkajorn, Jurjen Hendriks, Jan Moraal, Rolf P. B. J. Dollevoet, Zili Li, Alfredo Núñez
A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects. FUZZ-IEEE 2022: 1-8 - [c28]Taniya Kapoor
Predicting traction return current in electric railway systems through physics-informed neural networks. SSCI 2022: 1460-1468 - 2021
- [j19]Wenqiang Liu
High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j18]Junping Zhong
A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [i1]Jianfeng Fu, Alfredo Núñez, Bart De Schutter:
A real-time distributed post-disaster restoration planning strategy for distribution networks. CoRR abs/2105.08817 (2021) - 2020
- [j17]Wenqiang Liu
Unified Deep Learning Architecture for the Detection of All Catenary Support Components. IEEE Access 8: 17049-17059 (2020) - [j16]Hongrui Wang
A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries. IEEE Trans. Intell. Transp. Syst. 21(10): 4037-4051 (2020)
2010 – 2019
- 2019
- [j15]Luis G. Marin
Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks. Expert Syst. Appl. 119: 128-141 (2019) - [j14]Alfredo Núñez
Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration. IEEE Trans. Ind. Informatics 15(3): 1496-1507 (2019) - [j13]Hongrui Wang
Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections. IEEE Trans. Instrum. Meas. 68(10): 3536-3547 (2019) - [c27]Wenqiang Liu, Zhigang Liu, Alfredo Núñez
Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring. ITSC 2019: 2183-2188 - 2018
- [j12]Junwen Chen, Zhigang Liu
Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network. IEEE Trans. Instrum. Meas. 67(2): 257-269 (2018) - [j11]Zilong Wei
An Integrated Approach for Characterizing the Dynamic Behavior of the Wheel-Rail Interaction at Crossings. IEEE Trans. Instrum. Meas. 67(10): 2332-2344 (2018) - [c26]Alfredo Núñez
A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization. CEC 2018: 1-7 - [c25]Muhammad Faris
Distributed Optimization for Railway Track Maintenance Operations Planning. ITSC 2018: 1194-1201 - 2017
- [j10]Jacqueline Llanos
Load estimation for microgrid planning based on a self-organizing map methodology. Appl. Soft Comput. 53: 323-335 (2017) - [j9]Zilong Wei, Alfredo Núñez
Evaluating Degradation at Railway Crossings Using Axle Box Acceleration Measurements. Sensors 17(10): 2236 (2017) - [c24]Hongrui Wang
Identification of the catenary structure wavelength using pantograph head acceleration measurements. I2MTC 2017: 1-6 - 2016
- [j8]Zhigang Liu, Hongrui Wang
Ensemble EMD-Based Automatic Extraction of the Catenary Structure Wavelength From the Pantograph-Catenary Contact Force. IEEE Trans. Instrum. Meas. 65(10): 2272-2283 (2016) - [c23]R. Morales, Doris Sáez
Microgrid planning based on fuzzy interval models of renewable resources. FUZZ-IEEE 2016: 336-343 - [c22]Shahrzad Faghih-Roohi, Siamak Hajizadeh, Alfredo Núñez
Deep convolutional neural networks for detection of rail surface defects. IJCNN 2016: 2584-2589 - [c21]Zhou Su, Alfredo Núñez
Model Predictive Control for rail condition-based maintenance: A multilevel approach. ITSC 2016: 354-359 - 2015
- [j7]Zili Li, Maria Molodova, Alfredo Núñez
Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure. IEEE Trans. Ind. Electron. 62(7): 4385-4397 (2015) - [j6]Diego Muñoz-Carpintero
A Methodology Based on Evolutionary Algorithms to Solve a Dynamic Pickup and Delivery Problem Under a Hybrid Predictive Control Approach. Transp. Sci. 49(2): 239-253 (2015) - [c20]Zhou Su, Alfredo Núñez
Model Predictive Control for Maintenance Operations Planning of Railway Infrastructures. ICCL 2015: 673-688 - [c19]Francesco Acquaviva, Alfredo Núñez Vicencio
Customer-Oriented Optimal Vehicle Assignment in Mobility-on-Demand Systems. ITSC 2015: 2849-2854 - [c18]Franka Veltman, Luis G. Marin
Prediction Interval Modeling Tuned by an Improved Teaching Learning Algorithm Applied to Load Forecasting in Microgrids. SSCI 2015: 651-658 - 2014
- [j5]Alfredo Núñez
Hybrid-fuzzy modeling and identification. Appl. Soft Comput. 17: 67-78 (2014) - [j4]Maria Molodova, Zili Li, Alfredo Núñez
Automatic Detection of Squats in Railway Infrastructure. IEEE Trans. Intell. Transp. Syst. 15(5): 1980-1990 (2014) - [c17]Alfredo Núñez
Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study. IEEE BigData 2014: 48-53 - [c16]Maria Molodova, Maider Oregui, Alfredo Núñez
Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands. ITSC 2014: 822-827 - [c15]Shuai Liu, José Ramón Domínguez Frejo
Tractable robust predictive control approaches for freeway networks. ITSC 2014: 1857-1862 - 2013
- [c14]Fernanda Avila, Doris Sáez, Guillermo Jimenez-Estevez
Fuzzy demand forecasting in a predictive control strategy for a renewable-energy based microgrid. ECC 2013: 2020-2025 - [c13]José Ramón Domínguez Frejo, Alfredo Núñez, Bart De Schutter, Eduardo F. Camacho:
Model predictive control for freeway traffic using discrete speed limit signals. ECC 2013: 4033-4038 - [c12]Alfredo Núñez
A Multiobjective-Based Switching Topology for Hierarchical Model Predictive Control Applied to a Hydro-Power Valley. ICONS 2013: 534-539 - [c11]Maria Molodova, Zili Li
Monitoring the railway infrastructure: Detection of surface defects using wavelets. ITSC 2013: 1316-1321 - 2012
- [c10]Zulkifli Hidayat
Identification of distributed-parameter systems with missing data. CCA 2012: 1014-1019 - [c9]Marco Rinaldi, Luca Massimiliano Capisani, Antonella Ferrara, Alfredo Núñez, Mohammad Hajiahmadi, Bart De Schutter:
Distributed identification of the Cell Transmission traffic model: A case study. ACC 2012: 6545-6550 - [c8]Alfredo Núñez
Distributed identification of fuzzy confidence intervals for traffic measurements. CDC 2012: 6995-7000 - [c7]Gonzalo Bustos
Comparison of fixed speed wind turbines models: A case study. IECON 2012: 961-966 - [c6]Jacqueline Llanos
Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks. IJCNN 2012: 1-8 - 2011
- [c5]Zulkifli Hidayat
Decentralized Kalman filter comparison for distributed-parameter systems: A case study for a 1D heat conduction process. ETFA 2011: 1-8 - [c4]Zulkifli Hidayat
Observers for linear distributed-parameter systems: A survey. ROSE 2011: 166-171 - 2010
- [c3]Diego Muñoz-Carpintero
Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Alfredo Núñez
Hierarchical multiobjective model predictive control applied to a dynamic pickup and delivery problem. ITSC 2010: 1553-1558
2000 – 2009
- 2009
- [j3]Cristián E. Cortés
Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem. Transp. Sci. 43(1): 27-42 (2009) - 2008
- [j2]Javier Causa, Gorazd Karer
Hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor. Comput. Chem. Eng. 32(12): 3254-3263 (2008) - [j1]Doris Sáez
Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering. Comput. Oper. Res. 35(11): 3412-3438 (2008) - 2006
- [c1]Alfredo Núñez
Hybrid Predictive Control based on Fuzzy Model. FUZZ-IEEE 2006: 1947-1953
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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