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David Olalekan Afolabi
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2020 – today
- 2021
- [j2]Jieming Ma, David Olalekan Afolabi, Jie Ren, Aiyan Zhen:
Predicting Seminal Quality via Imbalanced Learning with Evolutionary Safe-Level Synthetic Minority Over-Sampling Technique. Cogn. Comput. 13(4): 833-844 (2021)
2010 – 2019
- 2018
- [b1]David Olalekan Afolabi:
Interference reduction in classification and forecasting tasks through cluster and trend analysis. University of Liverpool, UK, 2018 - 2017
- [j1]David Olalekan Afolabi, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong, Xuan Zhao:
Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning. Symmetry 9(11): 283 (2017) - 2015
- [c3]Lianyuan Wang, Yuxuan Zhao, David Olalekan Afolabi, Ka Lok Man, Hai-Ning Liang, Dawei Liu, Yiu Fai Lam, Charles Fleming, Moncef B. Tayahi:
Wi-Fi Access Point Roaming: Challenges and Potential Solutions. NBiS 2015: 158-161 - 2013
- [c2]David Olalekan Afolabi, Ka Lok Man, Hai-Ning Liang, Eng Gee Lim, Zhun Shen, Chi-Un Lei, Tomas Krilavicius, Yue Yang, Lixin Cheng, Vladimir Hahanov, Igor Yemelyanov:
A WSN approach to unmanned aerial surveillance of traffic anomalies: Some challenges and potential solutions. EWDTS 2013: 1-4 - [c1]Zhun Shen, Ka Lok Man, Hai-Ning Liang, Nan Zhang, David Olalekan Afolabi, Eng Gee Lim:
Porting LooCI Components into Zigduino. ITQM 2013: 579-582
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