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ORCIDAbdullah Ali Salamai
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2020 – today
- 2024
[j6]Abdullah Ali Salamai
:
Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network. Expert Syst. Appl. 255: 124490 (2024)- [j5]Abdullah Ali Salamai:
Curriculum learning empowered reinforcement learning for graph-based portfolio management: Performance optimization and comprehensive analysis. Neural Networks 179: 106537 (2024) - 2023
- [j4]Abdullah Ali Salamai:
Enhancing mango disease diagnosis through eco-informatics: A deep learning approach. Ecol. Informatics 77: 102216 (2023) - [j3]Abdullah Ali Salamai:
Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets. Expert Syst. Appl. 211: 118658 (2023) - 2022
- [j2]Abdullah Ali Salamai:
A Review of Collaboration and Secure Information-Sharing for Supply Chain Management. J. Inf. Knowl. Manag. 21(4): 2250047:1-2250047:39 (2022)
2010 – 2019
- 2019
- [b1]Abdullah Ali Salamai:
Intelligent decision support system for risk management in supply chains. University of New South Wales, Sydney, Australia, 2019 - [j1]Abdullah Ali Salamai, Omar Khadeer Hussain, Morteza Saberi, Elizabeth Chang, Farookh Khadeer Hussain:
Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management. IEEE Access 7: 49297-49315 (2019) - 2018
- [c1]Abdullah Ali Salamai, Morteza Saberi, Md. Omar Khadeer Hussain, Elizabeth Chang:
Risk Identification-Based Association Rule Mining for Supply Chain Big Data. SpaCCS 2018: 219-228
Coauthor Index
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