460199. Applied computing not elsewhere classified


Title460199. Applied computing not elsewhere classified
Parent4601. Applied computing

Latest research outputs

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Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop
Nguyen-Huy, Thong and Battersby, Kerry. 2023. "Enhancing climate resilience by combining practice and insurance strategies: A case study for cotton crop." Queensland Disaster Management Research Forum 2023. Brisbane, Australia 07 - 07 Nov 2023

Presentation

Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation
Chan, K. C., Rabaev, Marsel and Pratama, Handy. 2022. "Generation of synthetic manufacturing datasets for machine learning using discrete-event simulation." Production and Manufacturing Research. 10 (1), pp. 337-353. https://doi.org/10.1080/21693277.2022.2086642

Article

Extracting built-up areas from spectro-textural information using machine learning
Maqsoom, Ahsen, Aslam, Bilal, Yousafzai, Arbaz, Ullah, Fahim, Ullah, Sami and Imran, Muhammad. 2022. "Extracting built-up areas from spectro-textural information using machine learning." Soft Computing. 26 (16), pp. 7789-7808. https://doi.org/10.1007/s00500-022-06794-6

Article

Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Khan, Mohsin, Farooque, Aitazaz Ahsan, Zong, Tianrui and Yaseen, Zaher Mundher. 2021. "Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology." Energy Reports. 7, pp. 6700-6717. https://doi.org/10.1016/j.egyr.2021.09.113

Article

Making investment decisions on RFID technology: an evaluation of key adoption factors in construction firms
Mabad, Tarik, Ali, Omar, Ally, Mustafa, Wamba, Samuel Fosso and Chan, Ka Ching. 2021. "Making investment decisions on RFID technology: an evaluation of key adoption factors in construction firms." IEEE Access. 9, pp. 36937-36954. https://doi.org/10.1109/ACCESS.2021.3063301

Article

Structural composition and mechanical performances of poly (vinyl alcohol) materials: experimental and molecular dynamics simulation studies
Li, Lujuan. 2021. Structural composition and mechanical performances of poly (vinyl alcohol) materials: experimental and molecular dynamics simulation studies. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zzfd-0x89

PhD Thesis

Comparison of BEM-FFNN and BEM-RBFN methods for GNF flow analysis
Tran, C., Mai-Duy, N. and Tran-Cong, T.. 2000. "Comparison of BEM-FFNN and BEM-RBFN methods for GNF flow analysis." The XIIIth International Congress on Rheology. Cambridge, United Kingdom 20 - 25 Aug 2000 United Kingdom.

Paper