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ORCIDYong Wee Foo
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Conference and Workshop Papers
- 2021
[c8]Yong Wee Foo, Cindy Goh:
Solar Irradiance Forecasting in Tropical Weather using an Evolutionary Lean Neural Network. CEC 2021: 490-497- 2017
- [c7]Yong Wee Foo, Cindy Goh, Lipton Chan, Lin Li, Yun Li
:
Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation. SEAL 2017: 486-498 - 2016
- [c6]Yong Wee Foo, Cindy Goh, Yun Li:
Machine Learning with Sensitivity Analysis to Determine Key Factors Contributing to Energy Consumption in Cloud Data Centers. ICCCRI 2016: 107-113 - [c5]Yong Wee Foo, Cindy Goh, Yun Li:
Speciation and diversity balance for Genetic Algorithms and application to structural neural network learning. IJCNN 2016: 1283-1290 - 2015
- [c4]Yong Wee Foo, Cindy Goh, Hong Chee Lim, Zhi-Hui Zhan, Yun Li:
Evolutionary Neural Network Based Energy Consumption Forecast for Cloud Computing. ICCCRI 2015: 53-64 - [c3]Zong-Gan Chen, Zhi-Hui Zhan, Hai-Hao Li, Ke-Jing Du, Jing-Hui Zhong, Yong Wee Foo, Yun Li, Jun Zhang:
Deadline Constrained Cloud Computing Resources Scheduling through an Ant Colony System Approach. ICCCRI 2015: 112-119 - 2014
- [c2]Yongmei Wei, Yong Wee Foo:
A Cost-Effective and Reliable Cloud Storage. IEEE CLOUD 2014: 938-939 - [c1]Yongmei Wei, Yong Wee Foo, Khai Cher Lim, Fengmin Chen:
The Auto-configurable LDPC Codes for Distributed Storage. CSE 2014: 1332-1338
Coauthor Index
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