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A light gradient boosting machine-based method for predicting the dynamic response of functionally graded plates / Do Thi Thanh Dieu, Nguyen Hoang Yen // Tạp chí Khoa học và Công nghệ - Đại học Nguyễn Tất Thành . - 2024. - tr. 14-23. - ISSN: 2615-9015



Ký hiệu phân loại (DDC): 620.1
The primary objective of this paper is to efficiently predict the dynamic response of functionally graded plates using LightGBM – a light gradient boosting machine, without reliance on supplementary analysis tools. To obtain the optimal LightGBM model, a dataset comprising 1,000 pairs of input and output is generated through iterations using a combination of isogeometric analysis (IGA) and third-order shear deformation plate theory (TSDT). In this model, the input is represented by a power index which governs the material distribution of the plate, and the output comprises 200 values illustrating deflection over time. To demonstrate the effectiveness of LightGBM in terms of accuracy and computational time, the results obtained by the proposed model are compared to those achieved with the optimal ANN, XGBoost models, and IGA.
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2
Applied cryptography and network security : 16th International Conference, ACNS 2018, Leuven, Belgium, July 2-4, 2018, proceedings / Bart Preneel, Frederik Vercauteren [Editor; Other]
New York, NY : Springer Berlin Heidelberg, 2018
715 p.
Ký hiệu phân loại (DDC): 005.82
Số bản sách: (0) Tài liệu số: (1)
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Aspect-oriented security hardening of UML design models / Djedjiga Mouheb, Mourad Debbabi Makan Pourzandi, Lingyu Wang, Mariam Nouh, Raha Ziarati, Dima Alhadidi, Chamseddine Talhi Vitor Lima
Cham, Switzerland : Springer, 2015
247 p.
Ký hiệu phân loại (DDC): 005.133
Số bản sách: (0) Tài liệu số: (1)
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Beginning XML with c# 7 : XML processing and data access for c# developers / [edited by] Bipin Joshi
New York, NY : Springer Science+Business Media, 2017
464 p.
Ký hiệu phân loại (DDC): 005.72
Số bản sách: (0) Tài liệu số: (1)
5
Computer Science Illuminated / Nell Dale, John Lewis
Sudbury : Jones & Bartlett Learning, 2019
745 tr. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 004
Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Seventh Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing.
 Số bản sách: (1) Tài liệu số: (1)