scholarly journals Adaptive techniques for microarray image analysis with related quality assessment

2007 ◽  
Vol 16 (4) ◽  
pp. 043013 ◽  
Author(s):  
Sebastiano Battiato
Keyword(s):  
Image Analysis ◽  
Quality Assessment ◽  
Microarray Image ◽  
Adaptive Techniques ◽  
Related Quality

scholarly journals Optimization of image analysis techniques for quality assessment of whole-wheat breads made with fat replacer

2015 ◽  
Vol 35 (1) ◽  
pp. 133-142 ◽  
Author(s):  
Patrícia Matos Scheuer ◽  
Jorge Augusto Sandoval Ferreira ◽  
Bruna Mattioni ◽  
Martha Zavariz de Miranda ◽  
Alicia de Francisco
Keyword(s):  
Image Analysis ◽  
Quality Assessment ◽  
Fat Replacer ◽  
Analysis Techniques ◽  
Whole Wheat ◽  
Image Analysis Techniques

Microarray Image Analysis and Gene Expression Ratio Statistics

2005 ◽  
pp. 1-21
Author(s):  
Yidong Chen ◽  
Edward R. Dougherty ◽  
Michael L. Bittner ◽  
Paul Meltzer ◽  
Jeffery Trent
Keyword(s):  
Gene Expression ◽  
Image Analysis ◽  
Expression Ratio ◽  
Microarray Image ◽  
Gene Expression Ratio

Product Quality Assessment Based on Online Reviews

2019 ◽  
Vol 11 (3) ◽  
pp. 81-97
Author(s):  
Chao Li ◽  
Jun Xiang ◽  
Shiqiang Chen
Keyword(s):  
Quality Assessment ◽  
Product Quality ◽  
Opinion Mining ◽  
Online Reviews ◽  
Product Reviews ◽  
Product Features ◽  
Related Quality ◽  
Quality Dimensions

Reviews can reflect the degree of consumers' satisfaction and views on product quality, and consumers tend to read product reviews and then get helpful information about product quality before placing an order in e-commerce platforms. However, the existing research mainly focus on the assessment of review quality, fake review detection, opinion mining, and there is little research to assess product quality from the perspectives of product features based on reviews objectively and quantifialy. Therefore, the authors propose a method to assess product quality based on reviews in a granularity of product feature. The authors define the related quality dimensions and develop the corresponding assessment models, assess the review quality crawled from an e-commerce platform, then extract product features and opinion words from the quality reviews, and finally assess product quality on the extracted and consumer-concerned features. Experiment results demonstrate the methodology can achieve the assessment of product quality on any feature objectively and quantificationally.

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