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Refinado por: assunto: Maschinelles Lernen remover
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11
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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12
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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13
A machine learning access network selection in a heterogeneous wireless environment
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A machine learning access network selection in a heterogeneous wireless environment

Bendaoud, Fayssal ; Abdennebi, Marwen

Concurrency and computation, 2024-04, Vol.36 (9), p.n/a [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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14
Efficient asynchronous federated learning with sparsification and quantization
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Efficient asynchronous federated learning with sparsification and quantization

Jia, Juncheng ; Liu, Ji ; Zhou, Chendi ; Tian, Hao ; Dong, Mianxiong ; Dou, Dejing

Concurrency and computation, 2024-04, Vol.36 (9), p.n/a [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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15
A feed forward deep neural network model using feature selection for cloud intrusion detection system
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A feed forward deep neural network model using feature selection for cloud intrusion detection system

Sharma, Hidangmayum Satyajeet ; Singh, Khundrakpam Johnson

Concurrency and computation, 2024-04, Vol.36 (9), p.n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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16
Collective Effect in a Multicomponent Ensemble Combining Single Atoms and Nanoparticles for Efficient and Durable Oxygen Reduction
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Collective Effect in a Multicomponent Ensemble Combining Single Atoms and Nanoparticles for Efficient and Durable Oxygen Reduction

Xu, Xiaochun ; Li, Xinyi ; Lu, Wenting ; Sun, Xiaoyuan ; Huang, Hong ; Cui, Xiaoqiang ; Li, Lu ; Zou, Xiaoxin ; Zheng, Weitao ; Zhao, Xiao

Angewandte Chemie International Edition, 2024-04, Vol.63 (15), p.e202400765-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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17
Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?
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Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Makogon, Aleksei ; Kanoufi, Frederic ; Shkirskiy, Viacheslav

ChemElectroChem, 2024-04, Vol.11 (7), p.n/a [Periódico revisado por pares]

Weinheim: John Wiley & Sons, Inc

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18
Explainable Stacking-Based Learning Model for Traffic Forecasting
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Explainable Stacking-Based Learning Model for Traffic Forecasting

Chen, Chengyong ; Liu, Jinghan ; Li, Yuexiang ; Zhang, Yan

Journal of transportation engineering, Part A, 2024-04, Vol.150 (4) [Periódico revisado por pares]

Reston: American Society of Civil Engineers

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19
Analysis and Modeling of Pressure Pipe Failures in Auckland, New Zealand
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Analysis and Modeling of Pressure Pipe Failures in Auckland, New Zealand

Lopez, Laura L. ; van Zyl, Jakobus E. ; Harkness, Brendon

Journal of water resources planning and management, 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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20
Fat, Oil, and Grease Sewer Waste Management System: A Modeling Platform for Simulating the Formation of FOG Deposits in Sewer Networks
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Fat, Oil, and Grease Sewer Waste Management System: A Modeling Platform for Simulating the Formation of FOG Deposits in Sewer Networks

Simmons, Nathan S. ; Ducoste, Joel J.

Journal of environmental engineering (New York, N.Y.), 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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