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For: Otálora P, Guzmán J, Acién F, Berenguel M, Reul A. Microalgae classification based on machine learning techniques. Algal Research 2021;55:102256. [DOI: 10.1016/j.algal.2021.102256] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 10.0] [Reference Citation Analysis]
Number Citing Articles
1 Lim HR, Khoo KS, Chia WY, Chew KW, Ho SH, Show PL. Smart microalgae farming with internet-of-things for sustainable agriculture. Biotechnol Adv 2022;:107931. [PMID: 35202746 DOI: 10.1016/j.biotechadv.2022.107931] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Salmi P, Calderini M, Pääkkönen S, Taipale S, Pölönen I. Assessment of microalgae species, biomass, and distribution from spectral images using a convolution neural network. J Appl Phycol. [DOI: 10.1007/s10811-022-02735-w] [Reference Citation Analysis]
3 Sonmez ME, Eczacıoglu N, Gumuş NE, Aslan MF, Sabanci K, Aşikkutlu B. Convolutional neural network - Support vector machine based approach for classification of cyanobacteria and chlorophyta microalgae groups. Algal Research 2022;61:102568. [DOI: 10.1016/j.algal.2021.102568] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
4 Wei L, Xiaopan S, Heydari F, Ranjbarzadeh R. Microalgae Classification Using Improved Metaheuristic Algorithm. Mathematical Problems in Engineering 2022;2022:1-10. [DOI: 10.1155/2022/3783977] [Reference Citation Analysis]
5 Washino T, Demura M, Morisada S, Ohto K, Kawakita H. Separation of Microalgae by a Dynamic Bed of Magnetite-Containing Gel in the Application of a Magnetic Field. Separations 2022;9:120. [DOI: 10.3390/separations9050120] [Reference Citation Analysis]