Open Access
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
Article Number 02009
Number of page(s) 5
Section Economic Innovation and Talent Development Technology
Published online 14 June 2023
  1. Fn A., Amd, A. N. B., et al. Analysis of work accident cost on occupational safety and health risk handling at construction project of Hasanuddin University the Faculty of Engineering [J]. Enfermería Clínica, 2020, 30:312-316. [Google Scholar]
  2. Xiong Y., Ming Y., Liao X., et al. Cost prediction on fabricated substation considering SVM via optimized QPSO [J]. Thermal Science, 2020, 24:10-10. [Google Scholar]
  3. Priti M., Salunkhe A. A. COMPARATIVE ANALYSIS OF CONSTRUCTION COST ESTIMATION USING ARTIFICIAL NEURAL NETWORKS[J]. Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2020, 14(7):1287–1305. [Google Scholar]
  4. Ding X., Lu Q. Construction cost management strategy based on BIM technology and neural network model[J]. Journal of Intelligent and Fuzzy Systems, 2020(6):1–13. [Google Scholar]
  5. Chen S. Construction Project Cost Management and Control System Based on Big Data[J]. Mobile Information Systems, 2022, 2022:1-7. [Google Scholar]
  6. Al-Mhiqani M. N., Ahmad R., Abidin Z. Z., et al. New insider threat detection method based on recurrent neural networks [J]. Indonesian Journal of Electrical Engineering and Computer Science, 2020, 17(3):1474–1479. [CrossRef] [Google Scholar]
  7. Behera S., Misra R., Sillitti A. Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems[J]. Information Sciences, 2021, 554:120-144. [CrossRef] [Google Scholar]
  8. Hanafusa M., Ishikawa J. Mechanical Impedance Control of Cooperative Robot during Object Manipulation Based on External Force Estimation Using Recurrent Neural Network[J]. Unmanned Systems, 2020, 08(03):239–251. [CrossRef] [Google Scholar]
  9. Wu Z., Rincon D., Christofides P. D. Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes[J]. Journal of Process Control, 2020, 89:74-84. [CrossRef] [Google Scholar]
  10. Lu R., Lu M. Stock Trend Prediction Algorithm Based on Deep Recurrent Neural Network[J]. Wireless Communications and Mobile Computing, 2021, 2021(7):1–10. [Google Scholar]
  11. Wang Q., Ye M., Wei M., et al. Co-estimation of state of charge and capacity for lithium-ion battery based on recurrent neural network and support vector machine[J]. Energy Reports, 2021, 7:7323-7332. [CrossRef] [Google Scholar]
  12. Almahmoud M., Alzu’Bi, D., Yaseen, Q. ReDroidDet: Android Malware Detection Based on Recurrent Neural Network[J]. Procedia Computer Science, 2021, 184(5):841–846. [CrossRef] [Google Scholar]
  13. Yya B., Kza B., Jc C., et al. Prediction research of cervical cancer clinical events based on recurrent neural network - ScienceDirect [J]. Procedia Computer Science, 2021, 183:221-229. [CrossRef] [Google Scholar]
  14. Pan S., Yan K., Yang H., et al. A sparse spike deconvolution method based on Recurrent Neural Network like improved Iterative Shrinkage Thresholding Algorithm[J]. Geophysical Prospecting for Petroleum, 2022, 58(4):533–540. [Google Scholar]
  15. Elbasani E., Kim J. D. LLAD: Life-Log Anomaly Detection Based on Recurrent Neural Network LSTM [J]. Journal of Healthcare Engineering, 2021, 2021:1-7. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.