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Refinado por: assunto: Maschinelles Lernen remover
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1
Visualization and Analysis of Oil and Gas Pipeline Corrosion Research: A Bibliometric Data-Mining Approach
Visualization and Analysis of Oil and Gas Pipeline Corrosion Research: A Bibliometric Data-Mining Approach
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Visualization and Analysis of Oil and Gas Pipeline Corrosion Research: A Bibliometric Data-Mining Approach

Xu, Lei ; Yu, Pengfei ; Wen, Shaomu ; Tang, Yongfan ; Wang, Yunfu ; Tian, Yuan ; Mao, Ting ; Li, Changjun

Journal of pipeline systems, 2024-08, Vol.15 (3) [Periódico revisado por pares]

Reston: American Society of Civil Engineers

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2
Machine-Learning Applications in Structural Response Prediction: A Review
Machine-Learning Applications in Structural Response Prediction: A Review
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Machine-Learning Applications in Structural Response Prediction: A Review

Afshar, Aref ; Nouri, Gholamreza ; Ghazvineh, Shahin ; Hosseini Lavassani, Seyed Hossein

Practice periodical on structural design and construction, 2024-08, Vol.29 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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3
Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach
Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach
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Predicting Concrete Bridge Deck Deterioration: A Hyperparameter Optimization Approach

Almarahlleh, Nour ; Liu, Hexu ; Abudayyeh, Osama ; Almamlook, Rabia

Journal of performance of constructed facilities, 2024-06, Vol.38 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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4
Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets
Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets
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Supporting the Design of On-Site Infiltration Systems: From a Hydrological Model to a Web App to Meet Pluriannual Stormwater Volume Reduction Targets

Sage, Jérémie ; Berthier, Emmanuel ; Marie-Christine Gromaire ; Chebbo, Ghassan

Journal of hydrologic engineering, 2024-06, Vol.29 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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5
A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems
A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems
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A Probabilistic Method for Integrating Physics-Based and Data-Driven Storm Outage Prediction Models for Power Systems

Hughes, William ; Nyame, Sita ; Taylor, William ; Spaulding, Aaron ; Hong, Mingguo ; Luo, Xiaochuan ; Maslennikov, Slava ; Cerrai, Diego ; Anagnostou, Emmanouil ; Zhang, Wei

ASCE-ASME journal of risk and uncertainty in engineering systems. Part A, Civil Engineering, 2024-06, Vol.10 (2)

Reston: American Society of Civil Engineers

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6
Particle Swarm Optimization for Inverse Modeling of Soils in Urban Green Stormwater Infrastructure Sites
Particle Swarm Optimization for Inverse Modeling of Soils in Urban Green Stormwater Infrastructure Sites
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Particle Swarm Optimization for Inverse Modeling of Soils in Urban Green Stormwater Infrastructure Sites

Pastore, Kellen ; Shakya, Matina ; Hess, Amanda ; Sample-Lord, Kristin ; Clayton, Garrett

Journal of sustainable water in the built environment, 2024-05, Vol.10 (2) [Periódico revisado por pares]

Reston: American Society of Civil Engineers

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7
Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic
Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic
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Integrating Machine Learning Models into Building Codes and Standards: Establishing Equivalence through Engineering Intuition and Causal Logic

Naser, M. Z.

Journal of structural engineering (New York, N.Y.), 2024-05, Vol.150 (5) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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8
Developing Closed-Form Equations of Maximum Drag and Moment on Rigid Vegetation Stems in Fully Nonlinear Waves
Developing Closed-Form Equations of Maximum Drag and Moment on Rigid Vegetation Stems in Fully Nonlinear Waves
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Developing Closed-Form Equations of Maximum Drag and Moment on Rigid Vegetation Stems in Fully Nonlinear Waves

Zhu, Ling ; Chen, Qin

Journal of waterway, port, coastal, and ocean engineering, 2024-05, Vol.150 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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9
2D Aggregate Gradation Conversion Framework Integrated with 3D Random Aggregate Method and Machine-Learning for Asphalt Concrete
2D Aggregate Gradation Conversion Framework Integrated with 3D Random Aggregate Method and Machine-Learning for Asphalt Concrete
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2D Aggregate Gradation Conversion Framework Integrated with 3D Random Aggregate Method and Machine-Learning for Asphalt Concrete

Wei, Xin ; Sun, Yiren ; Gong, Hongren ; Zhao, Yanqing ; Hu, Mingjun ; Chen, Jingyun

Journal of materials in civil engineering, 2024-05, Vol.36 (5) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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10
Synthesizing Ontology and Graph Neural Network to Unveil the Implicit Rules for US Bridge Preservation Decisions
Synthesizing Ontology and Graph Neural Network to Unveil the Implicit Rules for US Bridge Preservation Decisions
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Synthesizing Ontology and Graph Neural Network to Unveil the Implicit Rules for US Bridge Preservation Decisions

He, Chuanni ; Liu, Min ; Hsiang, Simon M ; Pierce, Nicholas

Journal of management in engineering, 2024-05, Vol.40 (3) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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