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For: Huang XY, Ao TJ, Zhang X, Li K, Zhao XQ, Champreda V, Runguphan W, Sakdaronnarong C, Liu CG, Bai FW. Developing high-dimensional machine learning models to improve generalization ability and overcome data insufficiency for mixed sugar fermentation simulation. Bioresour Technol 2023:129375. [PMID: 37352987 DOI: 10.1016/j.biortech.2023.129375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/18/2023] [Accepted: 06/19/2023] [Indexed: 06/25/2023]
Number Cited by Other Article(s)
1
Tang Y, Ju X, Chen X, Li L. Advances in the biological production of sugar alcohols from biomass-derived xylose. World J Microbiol Biotechnol 2025;41:110. [PMID: 40148723 DOI: 10.1007/s11274-025-04316-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Accepted: 02/28/2025] [Indexed: 03/29/2025]
2
Huang JC, Guo Q, Li XH, Shi TQ. A comprehensive review on the application of neural network model in microbial fermentation. BIORESOURCE TECHNOLOGY 2025;416:131801. [PMID: 39532266 DOI: 10.1016/j.biortech.2024.131801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 11/07/2024] [Accepted: 11/09/2024] [Indexed: 11/16/2024]
3
Li Z, Waghmare PR, Dijkhuizen L, Meng X, Liu W. Research advances on the consolidated bioprocessing of lignocellulosic biomass. ENGINEERING MICROBIOLOGY 2024;4:100139. [PMID: 39629327 PMCID: PMC11611046 DOI: 10.1016/j.engmic.2024.100139] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 12/07/2024]
4
Xu Z, Hu Y, Shao X, Shi T, Yang J, Wan Q, Liu Y. The Efficacy of Machine Learning Models for Predicting the Prognosis of Heart Failure: A Systematic Review and Meta-Analysis. Cardiology 2024;150:79-97. [PMID: 38648752 DOI: 10.1159/000538639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/28/2024] [Indexed: 04/25/2024]
5
Zhang ZX, Xu LW, Xu YS, Li J, Ma W, Sun XM, Huang H. Integration of genetic engineering and multi-factor fermentation optimization for co-production of carotenoid and DHA in Schizochytrium sp. BIORESOURCE TECHNOLOGY 2024;394:130250. [PMID: 38154734 DOI: 10.1016/j.biortech.2023.130250] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/21/2023] [Accepted: 12/21/2023] [Indexed: 12/30/2023]
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