SCOPUS 정보 검색 플랫폼

Volumn 109, Issue , 2013, Pages 74-83

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

(2) Feng, Yao Ze a Sun, Da Wen a

a UNIVERSITY COLLEGE DUBLIN (Ireland)

Author keywords

Bacterial pathogen; Chemical imaging; Chemometrics; Chicken breast fillets; Prediction map; Preprocessing; Spoilage; Standard normal variate (SNV)

Indexed keywords

ANIMALS; BACTERIA; EXTRACTION; FORECASTING; GENETIC ALGORITHMS; IMAGE PROCESSING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MEDICAL IMAGING; NONDESTRUCTIVE EXAMINATION; SPECTROSCOPY; SPOILAGE;

BACTERIAL PATHOGENS; CHEMICAL IMAGING; CHEMOMETRICS; CHICKEN BREAST FILLET; PREPROCESSING; STANDARD NORMAL VARIATES;

HYPERSPECTRAL IMAGING;

ALGORITHM; ANIMAL; ARTICLE; CHICKEN; EQUIPMENT; FOOD ANALYSIS; FOOD CONTROL; GENETICS; IMAGE PROCESSING; ISOLATION AND PURIFICATION; MEAT; METHODOLOGY; MICROBIOLOGY; NEAR INFRARED SPECTROSCOPY; PSEUDOMONAS; REGRESSION ANALYSIS; STATISTICS; THEORETICAL MODEL;

ALGORITHMS; ANIMALS; CHICKENS; FOOD ANALYSIS; FOOD MICROBIOLOGY; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MEAT; MODELS, THEORETICAL; PSEUDOMONAS; SPECTROSCOPY, NEAR-INFRARED;

EID: 84887322588 PISSN: 00399140 EISSN: None Source Type: Journal
DOI: 10.1016/j.talanta.2013.01.057 Document Type: Article

Times cited : (173)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.