المؤلفون: Lei, Li, Zhou, Yongquan^{Aff1, Aff2, Aff3, IDs13369022073008_cor2}, Huang, Huajuan^{Aff1, Aff3}, Luo, Qifang^{Aff1, Aff3}

المصدر: Arabian Journal for Science and Engineering. 48(8):9693-9712

المؤلفون: Zhang, K., Gu, C., Zhu, Y., Chen, S., Dai, B., Li, Y., Shu, X.

المصدر: IEEE Access Access, IEEE. 9:23311-23325 2021

المؤلفون: Raji, Wasiu O.^{Aff1, Aff2}, Aluko, Khadijat O.

المصدر: Bulletin of Engineering Geology and the Environment: The official journal of the IAEG. 80(8):6445-6455

المؤلفون: Kang Zhang, Chongshi Gu, Yantao Zhu, Siyu Chen, Bo Dai, Yangtao Li, Xiaosong Shu

المصدر: IEEE Access, Vol 9, Pp 23311-23325 (2021)

مصطلحات موضوعية: Dam seepage prediction, lag process identification, extreme gradient boosting, hybridizing grey wolf optimization, factor importance, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9344711/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b168b15f514e476daeaa81f97705e164

المؤلفون: Wei-qun Li, Geng-ye Chen, Yu-zeng Yao, Cheng-man Sha

المصدر: 2011 Second International Conference on Mechanic Automation and Control Engineering Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on. :3341-3343 Jul, 2011

Relation: 2011 Second International Conference on Mechanic Automation and Control Engineering (MACE)

المؤلفون: Muhammad Ishfaque, Saad Salman, Khan Zaib Jadoon, Abid Ali Khan Danish, Kifayat Ullah Bangash, Dai Qianwei

المصدر: Water, Vol 14, Iss 17, p 2598 (2022)

مصطلحات موضوعية: dam seepage, machine learning, RF, GB, ANN, SVM, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4441/14/17/2598; https://doaj.org/toc/2073-4441

URL الوصول: https://doaj.org/article/3dd191934e8240c4a657da9bfb1969d3

المؤلفون: Somayeh Emami, Yahya Choopan, Javad Parsa

المصدر: Journal of Rehabilitation in Civil Engineering, Vol 7, Iss 3, Pp 15-32 (2019)

مصطلحات موضوعية: embankment dam seepage, ann, rbf model, gff model, boukanshahidkazemi's dam, Technology, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://civiljournal.semnan.ac.ir/article_3016_6fcce1d10919541dbcf2535a858c96b5.pdf; https://doaj.org/toc/2345-4415; https://doaj.org/toc/2345-4423

URL الوصول: https://doaj.org/article/0dcf937884b14f12b6bda283eae19d90

المؤلفون: Muhammad Ishfaque, Qianwei Dai, Nuhman ul Haq, Khanzaib Jadoon, Syed Muzyan Shahzad, Hammad Tariq Janjuhah

المصدر: Energies, Vol 15, Iss 9, p 3123 (2022)

مصطلحات موضوعية: dam seepage, deep learning, recurrent neural network, LSTM, prediction, time series data, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/15/9/3123; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/e71e8c66600a48ac89ad1d6962aa1293

المؤلفون: Jawdat K. Abbas

المصدر: Tikrit Journal of Engineering Sciences, Vol 24, Iss 1, Pp 81-88 (2017)

مصطلحات موضوعية: Finite element, homogeneous earth dam, seepage quantity, SEEP/W, toe filter, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.tj-es.com/ojs/index.php/tjes/article/view/699; https://doaj.org/toc/1813-162X; https://doaj.org/toc/2312-7589

URL الوصول: https://doaj.org/article/6371f89b00e84e1497b6af7e0cf6686b

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