sers spectral data preprocessing and model construction (MathWorks Inc)
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sers spectral data preprocessing and model construction
Sers Spectral Data Preprocessing And Model Construction, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectral+data+preprocessing/pm34896956-104-6-11
Average 90 stars, based on 1 article reviews
Sers Spectral Data Preprocessing And Model Construction, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectral+data+preprocessing/pm34896956-104-6-11
Average 90 stars, based on 1 article reviews
sers spectral data preprocessing and model construction - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Modeling Phenotypic Metabolic Adaptations of Mycobacterium tuberculosis H37Rv under Hypoxia Article Snippet: Article Title: Identifying a whole‐brain connectome‐based model in drug‐naïve Parkinson's disease for predicting motor impairment Article Snippet: Statistical analyses of Article Title: Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture Article Snippet: Organic Rankine cycle (ORC) is being widely researched in the application of waste heat recovery and renewable energy utilization.. The ORC using zeotropic mixtures (MORC) attracts much attention owing to the ability to match better in heat transfer.. The system with fluctuant heat source often encounters challenges of safety and efficiency and this issue drives the development of dynamic research. Article Title: RF power amplifiers behavioral modeling based on extended neural network with additional dynamic fuzzy weights Article Snippet: RF power amplifiers behavioral modeling based on extended neural network with additional dynamic fuzzy weights X.-H. Yuan a , Q.-Y.. Feng a & L.-C. Zhou b a School of Information Science and Technology, Southwest Jiaotong University , Chengdu , Sichuan , 610031 , China b DTV Engineering & Technology Research Center of Sichuan, Chengdu KTSF Digital Radio & TV Equipment Co. LTD , Chengdu , Sichuan , 610091 , China Published online: 12 Aug 2013. Article Title: Rapid detection and prediction of chloramphenicol in food employing label-free HAu/Ag NFs-SERS sensor coupled multivariate calibration. Article Snippet: Considering growing food safety issues, hollow Au/Ag nano-flower (HAu/Ag NFs) nanosensor has been synthesized for label-free and ultrasensitive detection of chloramphenicol (CP) via integrating the surface-enhanced Raman scattering (SERS) and multivariate calibration.. As the anisotropic plasmonic nanomaterials, HAu/Ag NFs had numerous nano-chink on their surface, which offered huge hotspots for analytes.. CP generated a strong SERS signal while adsorbed on the surface of HAu/Ag NFs and noted excellent linearity with 1st derivative-competitive adaptive reweighted sampling-partial least squares (CARS-PLS) in the range of 0.0001–1000 μg/mL among the four applied multivariate calibrations. Selection:Article Title: Improved Prediction of Michaelis Constants in CYP450-Mediated Reactions by Resilient Back Propagation Algorithm. Article Snippet: DOI: 10.2174/13892002176661605131445 51 Abstract: Background: In drug metabolism reactions, it has become increasingly important to measure Michaelis constants (Km), which are used for a variety of purposes, including identification of enzymes involved in drug metabolism, prediction of drug-drug interactions, etc.. Cytochrome P450s (CYPs) comprise a super family of major human enzymes responsible for drug metabolism.. Hence, computational prediction of Km in CYP-mediated reactions facilitates drug development in an efficient and economical way. |