AIMC Topic: Pseudomonas

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Rotatable central composite design versus artificial neural network for modeling biosorption of Cr by the immobilized Pseudomonas alcaliphila NEWG-2.

Scientific reports Jan 18, 2021
Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that d...
Cells, Immobilized Pseudomonas Surface Properties Spectrometry, X-Ray Emission Ions Adsorption Water Pollutants, Chemical Chromium Regression Analysis Neural Networks, Computer Water Purification
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SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas.

BMC bioinformatics Sep 22, 2020
BACKGROUND: In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying regulatory elements to support wet-lab experiments. Historically, available promoter prediction software...
DNA, Bacterial Neural Networks, Computer Computational Biology Sigma Factor Promoter Regions, Genetic Software Pseudomonas
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Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.

PLoS computational biology Dec 3, 2018
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the m...
Computational Biology Intestines Bacteria Zebrafish Pseudomonas Vibrio Microscopy, Fluorescence Databases, Factual Support Vector Machine Imaging, Three-Dimensional Neural Networks, Computer Humans Algorithms Animals
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Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

International journal of food microbiology Aug 2, 2025
Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychrophilic bacteria, resulting in quality deterioration and corruption, which leads to food safety problems. In this study, the growth of Pseudomonas and ...
Food Microbiology Colony Count, Microbial Food Contamination China Algorithms Red Meat Deep Learning Neural Networks, Computer Lactobacillus Animals Cattle Bacteria Pseudomonas Hyperspectral Imaging
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Data Fusion of Electronic Nose and Multispectral Imaging for Meat Spoilage Detection Using Machine Learning Techniques.

Sensors (Basel, Switzerland) May 19, 2025
Meat quality plays a significant role in the consumers' health condition; hence, the constant pursuit for techniques capable of objective and accurate quality assessment by the meat industry. Multispectral imaging and electronic noses are valuable te...
Fuzzy Logic Food Microbiology Animals Pseudomonas Brochothrix Electronic Nose Meat Machine Learning Neural Networks, Computer
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