These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
128 related articles for article (PubMed ID: 37940925)
1. An online soft sensor method for biochemical reaction process based on JS-ISSA-XGBoost. Zhang L; Wang B; Shen Y; Nie Y BMC Biotechnol; 2023 Nov; 23(1):49. PubMed ID: 37940925 [TBL] [Abstract][Full Text] [Related]
2. Development and Optimization of a Novel Soft Sensor Modeling Method for Fermentation Process of Wang B; Liu J; Yu A; Wang H Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447863 [TBL] [Abstract][Full Text] [Related]
3. Modeling and Optimization of an Enhanced Soft Sensor for the Fermentation Process of Wang B; Yu A; Wang H; Liu J Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38793872 [TBL] [Abstract][Full Text] [Related]
4. Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of Wang B; Wang X; He M; Zhu X Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833720 [TBL] [Abstract][Full Text] [Related]
5. A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds. Wu Y; Sun L; Sun X; Wang B Environ Sci Pollut Res Int; 2022 Mar; 29(12):18142-18159. PubMed ID: 34686955 [TBL] [Abstract][Full Text] [Related]
6. Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process. Tang H; Yang Z; Xu F; Wang Q; Wang B Appl Biochem Biotechnol; 2022 Oct; 194(10):4530-4545. PubMed ID: 35507253 [TBL] [Abstract][Full Text] [Related]
7. A soft sensor model of Zhu X; Liu W; Wang B; Wang W Prep Biochem Biotechnol; 2022; 52(6):618-626. PubMed ID: 34669558 [TBL] [Abstract][Full Text] [Related]
8. Study on the prediction of the contamination symptoms in the fermentation process of Chlortetracycline based on soft sensor modeling method. Sun Y; Tang L; Sun Q; Wang M; Han X; Chen X Technol Health Care; 2019; 27(S1):205-215. PubMed ID: 31045540 [TBL] [Abstract][Full Text] [Related]
9. A dynamic soft senor modeling method based on MW-ELWPLS in marine alkaline protease fermentation process. Zhu X; Cai K; Wang B; Rehman KU Prep Biochem Biotechnol; 2021; 51(5):430-439. PubMed ID: 33017258 [TBL] [Abstract][Full Text] [Related]
10. Soft-sensor modeling for L-lysine fermentation process based on hybrid ICS-MLSSVM. Wang B; Shahzad M; Zhu X; Ur Rehman K; Ashfaq M; Abubakar M Sci Rep; 2020 Jul; 10(1):11630. PubMed ID: 32669628 [TBL] [Abstract][Full Text] [Related]
11. Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine. Feng X; Hong-Yu T; Bo W; Xiang-Lin Z Prep Biochem Biotechnol; 2023; 53(4):341-352. PubMed ID: 35816458 [TBL] [Abstract][Full Text] [Related]
12. Accurate and cost-effective prediction of HBsAg titer in industrial scale fermentation process of recombinant Pichia pastoris by using neural network based soft sensor. Hosseini SN; Javidanbardan A; Khatami M Biotechnol Appl Biochem; 2019 Jul; 66(4):681-689. PubMed ID: 31169323 [TBL] [Abstract][Full Text] [Related]
13. Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning. Lu N; Wang B; Zhu X Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005505 [TBL] [Abstract][Full Text] [Related]
14. Compressive Strength Prediction of Cemented Backfill Containing Phosphate Tailings Using Extreme Gradient Boosting Optimized by Whale Optimization Algorithm. Xiong S; Liu Z; Min C; Shi Y; Zhang S; Liu W Materials (Basel); 2022 Dec; 16(1):. PubMed ID: 36614647 [TBL] [Abstract][Full Text] [Related]
15. Biomass soft sensor for a Pichia pastoris fed-batch process based on phase detection and hybrid modeling. Brunner V; Siegl M; Geier D; Becker T Biotechnol Bioeng; 2020 Sep; 117(9):2749-2759. PubMed ID: 32510166 [TBL] [Abstract][Full Text] [Related]
16. Online prediction of total sugar content and optimal control of glucose feed rate during chlortetracycline fermentation based on soft sensor modeling. Wang P; Sun Q; Qiao Y; Liu L; Han X; Chen X Math Biosci Eng; 2022 Jul; 19(10):10687-10709. PubMed ID: 36032013 [TBL] [Abstract][Full Text] [Related]
17. An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process. Hua L; Zhang C; Sun W; Li Y; Xiong J; Nazir MS ISA Trans; 2023 May; 136():139-151. PubMed ID: 36404151 [TBL] [Abstract][Full Text] [Related]
18. Prediction of NOx Emissions in Thermal Power Plants Using a Dynamic Soft Sensor Based on Random Forest and Just-in-Time Learning Methods. He K; Ding H Sensors (Basel); 2024 Jul; 24(14):. PubMed ID: 39065840 [TBL] [Abstract][Full Text] [Related]
19. Development of a wide-range soft sensor for predicting wastewater BOD Ching PML; Zou X; Wu D; So RHY; Chen GH Environ Res; 2022 Jul; 210():112953. PubMed ID: 35182590 [TBL] [Abstract][Full Text] [Related]
20. Soft - sensing modeling based on ABC - MLSSVM inversion for marine low - temperature alkaline protease MP fermentation process. Wang B; Yu M; Zhu X; Zhu L BMC Biotechnol; 2020 Feb; 20(1):9. PubMed ID: 32070325 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]