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1
Developing a Machine-Learning Model to Predict Clash Resolution Options
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Artigo
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Developing a Machine-Learning Model to Predict Clash Resolution Options

Harode, Ashit ; Thabet, Walid ; Gao, Xinghua

Journal of computing in civil engineering, 2024-03, Vol.38 (2) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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2
Convolutional Neural Network Approach for Vibration-Based Damage State Prediction in a Reinforced Concrete Building
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Convolutional Neural Network Approach for Vibration-Based Damage State Prediction in a Reinforced Concrete Building

Whiteman, Michael L. ; Marin-Artieda, Claudia C. ; Tezcan, Jale

Journal of computing in civil engineering, 2024-03, Vol.38 (2) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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3
An interpretable machine learning approach to multimodal stress detection in a simulated office environment
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An interpretable machine learning approach to multimodal stress detection in a simulated office environment

Naegelin, Mara ; Weibel, Raphael P. ; Kerr, Jasmine I. ; Schinazi, Victor R. ; La Marca, Roberto ; von Wangenheim, Florian ; Hoelscher, Christoph ; Ferrario, Andrea

Journal of biomedical informatics, 2023-03, Vol.139, p.104299-104299, Article 104299 [Periódico revisado por pares]

United States: Elsevier Inc

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4
On the automatic detection of enacted compulsive hand washing using commercially available wearable devices
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On the automatic detection of enacted compulsive hand washing using commercially available wearable devices

Wahl, Karina ; Scholl, Philipp Marcel ; Wirth, Silvan ; Miché, Marcel ; Häni, Jeannine ; Schülin, Pia ; Lieb, Roselind

Computers in biology and medicine, 2022-04, Vol.143, p.105280-105280, Article 105280 [Periódico revisado por pares]

United States: Elsevier Ltd

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5
Text as Data: A New Framework for Machine Learning and the Social Sciences
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Livro
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Text as Data: A New Framework for Machine Learning and the Social Sciences

Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart

Princeton University Press 2022

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6
An air quality forecasting model based on improved convnet and RNN
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An air quality forecasting model based on improved convnet and RNN

Wang, Baowei ; Kong, Weiwen ; Zhao, Peng

Soft computing (Berlin, Germany), 2021-07, Vol.25 (14), p.9209-9218 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
POCASUM: policy categorizer and summarizer based on text mining and machine learning
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POCASUM: policy categorizer and summarizer based on text mining and machine learning

Deotale, Rushikesh ; Rawat, Shreyash ; Vijayarajan, V. ; Surya Prasath, V. B.

Soft computing (Berlin, Germany), 2021-07, Vol.25 (14), p.9365-9375 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector
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Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

Shah, Dhruvil ; Patel, Devarsh ; Adesara, Jainish ; Hingu, Pruthvi ; Shah, Manan

Visual computing for industry, biomedicine and art, 2021-06, Vol.4 (1), p.18-18, Article 18 [Periódico revisado por pares]

Singapore: Springer Singapore

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9
Machine learning in recycling business: an investigation of its practicality, benefits and future trends
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Machine learning in recycling business: an investigation of its practicality, benefits and future trends

Ni, Du ; Xiao, Zhi ; Lim, Ming K.

Soft computing (Berlin, Germany), 2021-06, Vol.25 (12), p.7907-7927 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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10
Machine learning-based design features decision support tool via customers purchasing data analysis
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Machine learning-based design features decision support tool via customers purchasing data analysis

Zhang, Jian ; Chu, Xingpeng ; Simeone, Alessandro ; Gu, Peihua

Concurrent engineering, research and applications, 2021-06, Vol.29 (2), p.124-141 [Periódico revisado por pares]

London, England: SAGE Publications

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