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Showing total 12 results
12 results

1. Impact of Architect/Engineer (A/E) consultant qualifications on project outcomes.

Author

Eltahan, Amira, Al Hattab, Malak, and Hammad, Ahmed

Subjects
ENGINEERS, ARCHITECTS, CONSULTANTS, ARTIFICIAL neural networks, PERFORMANCE management
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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2. Prediction of soil-water characteristic curves using two artificial intelligence (AI) models and AI aid design method for sands.

Author

Li, Yao and Vanapalli, Sai K.

Subjects
ARTIFICIAL intelligence, ARTIFICIAL neural networks, SAND
Abstract

Copyright of Canadian Geotechnical Journal is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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3. Estimating lateral placement and lane indiscipline of urban mixed traffic of a developing country: an ANN-assisted approach.

Author

Saini, Harish Kumar and Biswas, Subhadip

Subjects
CITY traffic, ARTIFICIAL neural networks
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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4. The role of spatial scale in drought monitoring and early warning systems: a review.

Author

Mardian, Jacob

Subjects
DROUGHT forecasting, DROUGHTS, MODIS (Spectroradiometer), DOWNSCALING (Climatology), ARTIFICIAL neural networks, RAINFALL
Abstract

The article discusses about natural disaster drought. Topics discussed include an explanation and impact of drought on socioeconomic condition of a place, discussed about the type of drought and its relation to spatial scale which include meteorological drought, agricultural drought, flash drought and others; and contains definition of spatial scale, drought monitoring and early warning system.

Published
2022
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5. Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods.

Author

Dhakal, Nirmal, Elseifi, Mostafa A., Zihan, Zia U.A., Zhang, Zhongjie, Fillastre, Christophe N., and Upadhyay, Jagannath

Subjects
DEEP learning, CRACKING of pavements, SURFACE cracks, ASPHALT pavements, PAVEMENT management, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, CONCRETE pavements
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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6. Integrating model tree and modified stepwise regression in concrete slump prediction and steel fabrication estimating.

Author

Mohsenijam, Arash, Lu, Ming, and Naumets, Serhii

Subjects
ARTIFICIAL neural networks, REGRESSION trees, STEEL, CIVIL engineering, MACHINE learning
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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7. Developing SonReb models to predict the compressive strength of concrete using different percentage of recycled brick aggregate.

Author

Thapa, Sheetal, Sharma, Richi Prasad, and Halder, Lipika

Subjects
BRICKS, COMPRESSIVE strength, ARTIFICIAL neural networks, MULTIPLE regression analysis, CONCRETE testing, NONDESTRUCTIVE testing
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022
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8. Prediction of pressure coefficient on setback building by artificial neural network.

Author

Bairagi, Amlan Kumar and Dalui, Sujit Kumar

Subjects
AERODYNAMICS of buildings, ARTIFICIAL neural networks, AERODYNAMIC load, FLUID dynamics, FUZZY neural networks, WIND tunnel testing, ATMOSPHERIC boundary layer
Abstract

The article presents a study which examined the coefficients of pressure (Cp), drag (Cfy) and lift (Cfx) on square shape and setback building models. Also cited are the use of computational fluid dynamics (CFD) method to calculate the various aerodynamic coefficients, and the use of artificial neural network (ANN) method to determine the intermediate wind angle Cp.

Published
2021
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9. Assessing the performance of artificial neural networks to predict ionospheric TEC over Nigeria during different space weather events.

Author

Abe, O.E., Rukera, S.S., Adeyemi, B., Ogunmodimu, O., Emmanuel, I., Oluwadare, T.S., and Omole, O.V.

Subjects
ARTIFICIAL neural networks, SPACE environment, SOLAR activity, ALGORITHMS, COST functions, GEOMAGNETISM
Abstract

Copyright of Canadian Journal of Physics is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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10. The use of artificial neural networks for modelling rumen fill.

Author

Adebayo, Rasheed A., Moyo, Mehluli, Gueguim Kana, Evariste B., and Nsahlai, Ignatius V.

Subjects
ARTIFICIAL neural networks, RANDOM forest algorithms, ALGORITHMS
Abstract

Copyright of Canadian Journal of Animal Science is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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11. Automatic manpower allocation for public construction projects using a rough set enhanced neural network.

Author

Chen, Jieh-Haur, Yang, Li-Ren, Wang, Jui-Pin, Lin, Shang-I, Cheng, Jiun-Yao, Lee, Meng-Hsueh, and Chen, Chih-Lin

Subjects
ROUGH sets, CONSTRUCTION projects, LABOR supply, ARTIFICIAL neural networks, BUILDING design & construction
Abstract

Copyright of Canadian Journal of Civil Engineering is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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12. A neural network approach for solution of the Schrödinger equation for a particle in the Pöschl–Teller potential.

Author

Arora, Garvit, Singh, Apoorva, and Bandhu, Ashutosh Vishwa

Subjects
GROUND state energy, ARTIFICIAL neural networks, FINITE difference method, QUANTUM mechanics, SCHRODINGER equation
Abstract

Copyright of Canadian Journal of Physics is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021
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