冯耀泽
Supervisor of Master's Candidates
Name (Simplified Chinese):冯耀泽
Name (Pinyin):fengyaoze
Professional Title:Associate professor
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:工程楼B518
E-Mail:
Alma Mater:爱尔兰都柏林大学
Teacher College:College of Engineering
School/Department:工学院
Other Contact Information:
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Paper Publications
- Application of hyperspectral imaging in food safety inspection and control: a review.Critical reviews in food science and nutrition,2012,52(11):1039-1058.
- Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets.Talanta,2013,10974-83.
- Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms.Talanta,2013,105244-249.
- Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagentless determination of Enterobacteriaceae on chicken fillets.Food Chemistry,2013,138(22-3):1829-1836.
- Towards improvement in classification of Escherichia coli, Listeria innocua and their strains in isolated systems based on chemometric analysis of visible and near-infrared spectroscopic data.Journal of Food Engineering,2015,14987-96.
- Application of Artificial Fish Swarm Algorithm for Synchronous Selection of Wavelengths and Spectral Pretreatment Methods in Spectrometric Analysis of Beef Adulteration.2018,2229–2236.
- Near infrared spectroscopy for classification of bacterial pathogen strains based on spectral transforms and machine learning.Chemometrics and Intelligent Laboratory Systems,2018,17946-53.
- Invasive weed optimization for optimizing one-agar-for-all classification of bacterial colonies based on hyperspectral imaging.Sensors and Actuators B: Chemical,2018,269264-270.
- Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.Meat Science,2019,15175-81.
- Establishment of Validated Models for Non-Invasive Prediction of Rectal Temperature of Sows Using Infrared Thermography and Chemometrics.International journal of biometeorology,2019,631405-1415.
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