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F

Fernando Salazar

center internacional de mètodes numèrics en enginyeria, barcelona, spain

19H指数
119论文数
1.9K被引数
收录论文 29
发表时间
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Doped silicene for acetone molecule trapping and sensing: DFT calculations掺杂硅烯用于丙酮分子捕获与传感：DFT计算
errMaterials Letters
IF2.7
err2025-10-09
err0
PREAI
errDinorah Romero-Palacios; Jose A. Moreno-Banda; Lucia G. Arellano; Álvaro Miranda; Fernando Salazar; Luis A. Pérez; Miguel Cruz-Irisson
err分享
err收藏
A robust approach for anomaly detection using 1D convolutional Siamese neural networks to enhance structural health monitoring in dams一种基于1D卷积Siamese神经网络的鲁棒性异常检测方法，以提升大坝结构健康监测效果
errStructural Health Monitoring
IF0
err2025-09-17
err0
PREAI
errChristian Tutivén; Luis Moyón; Fernando Salazar
err分享
err收藏
Adaptive Warning Thresholds for Dam Safety: A KDE-Based Approach大坝安全自适应预警阈值：基于KDE的方法
errinfrastructures
IF0
err2025-08-11
err0
errOAAI
errNathalia Silva-Cancino; Fernando Salazar; Joaquín Irazábal; Juan Mata
err分享
err收藏
Influence of breach parameter models on hazard classification of off-stream reservoirs
errpetroleum science and engineering
IF4.3
err2025-03-01
err1
errOAAI
errSilva-Cancino, Nathalia; Salazar, Fernando; Blade, Ernest; Sanz-Ramos, Marcos
err分享
err收藏
Detection of outliers in dam monitoring time series with autoencoders
errJOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
IF4.3
err2025-02-07
err0
errOAAI
errIrazabal, Joaquin; Salazar, Fernando; Silva-Cancino, Nathalia; Vicente, David J.
err分享
err收藏
Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure( vol 260 , 114190 , 2022)
errENGINEERING STRUCTURES
IF6.4
err2025-01-01
err0
PREAI
errSalazar, Fernando; Hariri-Ardebili, Mohammad Amin
err分享
err收藏
Toward the development of an ML-driven decision support system for wastewater treatment: A bacterial inactivation prediction approach in solar photochemical processes
errJOURNAL OF ENVIRONMENTAL MANAGEMENT
IF8.4
err2025-01-01
err0
PREAI
errPascacio, Pavel; Vicente, David J.; Berruti, Ilaria; Granados, Samira Nahim; Oller, Isabel; Polo-Lopez, M. Inmaculada; Salazar, Fernando
err分享
err收藏
Predictive modeling of Enterococcus sp. removal with limited data from different advanced oxidation processes: A machine learning approach
errJOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
IF7.2
err2024-06-01
err3
errOAAI
errPascacio, Pavel; Vicente, David J.; Salazar, Fernando; Guerra-Rodriguez, Sonia; Rodriguez-Chueca, Jorge
err分享
err收藏
Evaluation of different machine learning approaches for predicting high concentration episodes of ground-level ozone: A case study in Catalonia, Spain预测地面高浓度臭氧事件的不同机器学习方法的评估: 西班牙加泰罗尼亚的案例研究
errATMOSPHERIC POLLUTION RESEARCH
IF3.5
err2024-03-01
err6
PREAI
errVicente, D. J.; Salazar, F.; Lopez-Chacon, S. R.; Soriano, C.; Martin-Vide, J.
err分享
err收藏
A Probabilistic Approach for Off-Stream Reservoir Failure Flood Hazard Assessment一种用于河外水库故障洪水灾害评估的概率方法
errWATER
IF3
err2023-06-12
err10
errOAAI
errSanz-Ramos, Marcos; Blade, Ernest; Silva-Cancino, Nathalia; Salazar, Fernando; Lopez-Gomez, David; Martinez-Gomariz, Eduardo
err分享
err收藏
Combining Synthetic and Observed Data to Enhance Machine Learning Model Performance for Streamflow Prediction
errWATER
IF3
err2023-05-26
err6
errOAAI
errLopez-Chacon, Sergio Ricardo; Salazar, Fernando; Blade, Ernest
err分享
err收藏
Theoretical study of [111]-germanium nanowires as anode materials in rechargeable batteries: a density functional theory approach[111]-锗纳米线作为可充电电池阳极材料的理论研究: 密度泛函理论方法
errREVISTA MEXICANA DE FISICA
IF1
err2023-05-01
err3
errOAAI
errJimenez-Sanchez, R.; Morales Vergara, P.; Salazar, F.; Miranda, A.; Trejo, A.; Hernandez-Hernandez, I. J.; Perez, L. A.; Cruz-Irisson, M.
err分享
err收藏
Soft Computing and Machine Learning in Dam Engineering
errWATER
IF3
err2023-02-27
err3
errOAAI
errHariri-Ardebili, Mohammad Amin; Salazar, Fernando; Pourkamali-Anaraki, Farhad; Mazza, Guido; Mata, Juan
err分享
err收藏
A Machine Learning-Based Surrogate Model for the Identification of Risk Zones Due to Off-Stream Reservoir Failure基于机器学习的替代模型，用于识别由于河外储层故障引起的风险区
errWATER
IF3
err2022-08-04
err10
errOAAI
errSilva-Cancino, Nathalia; Salazar, Fernando; Sanz-Ramos, Marcos; Blade, Ernest
err分享
err收藏
Coupling machine learning and stochastic finite element to evaluate heterogeneous concrete infrastructure
errENGINEERING STRUCTURES
IF6.4
err2022-06-01
err28
PREAI
errSalazar, Fernando; Hariri-Ardebili, Mohammad Amin
err分享
err收藏
Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction用于结构大坝行为解释和预测的机器学习模型的验证
errWATER
IF3
err2021-10-01
err22
errOAAI
errMata, Juan; Salazar, Fernando; Barateiro, Jose; Antunes, Antonio
err分享
err收藏
Anomaly Detection in Dam Behaviour with Machine Learning Classification Models基于机器学习分类模型的大坝行为异常检测
errWATER
IF3
err2021-08-30
err20
errOAAI
errSalazar, Fernando; Conde, Andre; Irazabal, Joaquin; Vicente, David J.
err分享
err收藏
A Review on Thermo-mechanical Modelling of Arch Dams During Construction and Operation: Effect of the Reference Temperature on the Stress Field
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2020-06-11
err22
errOAAI
errSalazar, Fernando; Vicente, David J.; Irazabal, Joaquin; De-Pouplana, Ignasi; San Mauro, Javier
err分享
err收藏
Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems在大坝工程问题的材料和建模不确定性量化中进行软计算
errSOFT COMPUTING
IF2.5
err2019-12-23
err26
PREAI
errHariri-Ardebili, Mohammad Amin; Salazar, Fernando
err分享
err收藏
A Performance Comparison of Machine Learning Algorithms for Arced Labyrinth Spillways
errWATER
IF3
err2019-03-16
err26
errOAAI
errSalazar, Fernando; Crookston, Brian M.
err分享
err收藏

研究方向

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