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Cited by in F6Publishing
For: Kuang L, Shi P, Hua C, Chen B, Zhu H. An Enhanced Extreme Learning Machine for Dissolved Oxygen Prediction in Wireless Sensor Networks. IEEE Access 2020;8:198730-9. [DOI: 10.1109/access.2020.3033455] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
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1 Kayhan G, İşeri İ. Counter Propagation Network Based Extreme Learning Machine. Neural Process Lett. [DOI: 10.1007/s11063-022-11021-2] [Reference Citation Analysis]
2 Wu Y, Duan Y, Wei Y, An D, Liu J. Application of intelligent and unmanned equipment in aquaculture: A review. Computers and Electronics in Agriculture 2022;199:107201. [DOI: 10.1016/j.compag.2022.107201] [Reference Citation Analysis]
3 Hameed M, Yang F, Ghafoor MI, Jaskani FH, Islam U, Fayaz M, Mehmood G, Venkateswaran N. IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms. Wireless Communications and Mobile Computing 2022;2022:1-15. [DOI: 10.1155/2022/6274114] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]