AIMC Topic: Newfoundland and Labrador

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Modeling and optimization of Newfoundland shrimp waste hydrolysis for microbial growth using response surface methodology and artificial neural networks.

Marine pollution bulletin Jun 14, 2016
The hydrolyzed protein derived from seafood waste is regarded as a premium and low-cost nitrogen source for microbial growth. In this study, optimization of enzymatic shrimp waste hydrolyzing process was investigated. The degree of hydrolysis (DH) wi...
Neural Networks, Computer Temperature Animals Hydrolysis Waste Products Crustacea Food-Processing Industry Newfoundland and Labrador
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Hidden Markov model using Dirichlet process for de-identification.

Journal of biomedical informatics Sep 25, 2015
For the 2014 i2b2/UTHealth de-identification challenge, we introduced a new non-parametric Bayesian hidden Markov model using a Dirichlet process (HMM-DP). The model intends to reduce task-specific feature engineering and to generalize well to new da...
Machine Learning Computer Simulation Electronic Health Records Cohort Studies Models, Statistical Narration Natural Language Processing Confidentiality Data Mining Markov Chains Pattern Recognition, Automated Computer Security Vocabulary, Controlled Newfoundland and Labrador
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