45 The Steward’s Son Is Made a Magistrate; Bao-chai Supplies Dai-yu with Edible Bird’s Nest

2021 ◽  
pp. 97-98
Keyword(s):  
Edible Bird’S Nest

Functional food & ingredients from seaweed, edible Bird's nest and tropical fruits: A translational research

LWT ◽  
2021 ◽  
pp. 112164
Author(s):  
Seng Joe Lim ◽  
Lee Sin Chang ◽  
Shazrul Fazry ◽  
Wan Aida Wan Mustapha ◽  
Abdul Salam Babji
Keyword(s):  
Translational Research ◽  
Functional Food ◽  
Tropical Fruits ◽  
Food Ingredients ◽  
Edible Bird’S Nest

scholarly journals Protective Effect of Edible Bird’s Nest on Ovaries of Cycling Female Rats Subjected to Cadmium Toxicity

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Abdul Quddus ◽  
Nurhusien Yimer ◽  
Faez Firdaus Abdullah Jesse ◽  
M. Mustapha Noordin ◽  
Mark W. H. Hiew ◽  
...  
Keyword(s):  
Protective Effect ◽  
Cadmium Toxicity ◽  
Female Rats ◽  
Edible Bird’S Nest

scholarly journals Impurities Detection in Intensity Inhomogeneous Edible Bird’s Nest (EBN) Using a U-Net Deep Learning Model

2021 ◽  
Vol 11 (2) ◽  
pp. 135-145
Author(s):  
Ying-Heng Yeo ◽  
Kin-Sam Yen
Keyword(s):  
Image Processing ◽  
Optical Properties ◽  
Detection Rate ◽  
Detection Algorithm ◽  
Misclassification Rate ◽  
Dice Coefficient ◽  
Edible Bird’S Nest ◽  
Deep Learning Model ◽  
Output Probability ◽  
Previous Image

As an important export, cleanliness control on edible bird’s nest (EBN) is paramount. Automatic impurities detection is in urgent need to replace manual practices. However, effective impurities detection algorithm is yet to be developed due to the unresolved inhomogeneous optical properties of EBN. The objective of this work is to develop a novel U-net based algorithm for accurate impurities detection. The algorithm leveraged the convolution mechanisms of U-net for precise and localized features extraction. Output probability tensors were then generated from the deconvolution layers for impurities detection and positioning. The U-net based algorithm outperformed previous image processing-based methods with a higher impurities detection rate of 96.69% and a lower misclassification rate of 10.08%. The applicability of the algorithm was further confirmed with a reasonably high dice coefficient of more than 0.8. In conclusion, the developed U-net based algorithm successfully mitigated intensity inhomogeneity in EBN and improved the impurities detection rate.

scholarly journals In vitro and in vivo mechanism of immunomodulatory and antiviral activity of Edible Bird's Nest (EBN) against influenza A virus (IAV) infection

2016 ◽  
Vol 185 ◽  
pp. 327-340 ◽  
Author(s):  
Amin Haghani ◽  
Parvaneh Mehrbod ◽  
Nikoo Safi ◽  
Nur Ain Aminuddin ◽  
Azadeh Bahadoran ◽  
...  
Keyword(s):  
Antiviral Activity ◽  
Influenza A Virus ◽  
Influenza A ◽  
Edible Bird’S Nest

scholarly journals Actual Purchase Behavior of Edible Bird’s Nest Products in Malaysia Using Cluster Analysis

2019 ◽  
Vol 25 (8) ◽  
pp. 849-860
Author(s):  
Nurul Nabilah Huda Mohamad Shukri ◽  
Nolila Mohd Nawi ◽  
Amin Mahir Abdullah ◽  
Norsida Man
Keyword(s):  
Cluster Analysis ◽  
Purchase Behavior ◽  
Edible Bird’S Nest
Sign in / Sign up

Export Citation Format

Share Document