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Mahmoud Al-Sarayreh
Mahmoud Al-Sarayreh
AgResearch, New Zealand
Verified email at agresearch.co.nz
Title
Cited by
Cited by
Year
Detection of red-meat adulteration by deep spectral–spatial features in hyperspectral images
M Al-Sarayreh, M M. Reis, W Qi Yan, R Klette
Journal of Imaging 4 (5), 63, 2018
652018
Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Food Control 117, 107332, 2020
562020
Chemometrics and hyperspectral imaging applied to assessment of chemical, textural and structural characteristics of meat
MM Reis, R Van Beers, M Al-Sarayreh, P Shorten, WQ Yan, W Saeys, ...
Meat science 144, 100-109, 2018
532018
Deep spectral-spatial features of snapshot hyperspectral images for red-meat classification
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
2018 international conference on image and vision computing New Zealand …, 2018
262018
A sequential CNN approach for foreign object detection in hyperspectral images
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Computer Analysis of Images and Patterns: 18th International Conference …, 2019
242019
A global calibration model for prediction of intramuscular fat and pH in red meat using hyperspectral imaging
Y Dixit, M Al-Sarayreh, CR Craigie, MM Reis
Meat Science 181, 108405, 2021
202021
Identification of weeds based on hyperspectral imaging and machine learning
Y Li, M Al-Sarayreh, K Irie, D Hackell, G Bourdot, MM Reis, K Ghamkhar
Frontiers in Plant Science 11, 611622, 2021
172021
Detection of adulteration in red meat species using hyperspectral imaging
M Al-Sarayreh, MM Reis, WQ Yan, R Klette
Image and Video Technology: 8th Pacific-Rim Symposium, PSIVT 2017, Wuhan …, 2018
112018
Hyperspectral imaging and deep learning for quantification of Clostridium sporogenes spores in food products using 1D-convolutional neural networks and random forest model
A Soni, M Al-Sarayreh, MM Reis, G Brightwell
Food Research International 147, 110577, 2021
102021
Reducing the pain: A novel tool for efficient ground-truth labelling in images
CJ Rapson, BC Seet, MA Naeem, JE Lee, M Al-Sarayreh, R Klette
2018 international conference on image and vision computing New Zealand …, 2018
72018
Identification of cold spots using non-destructive hyperspectral imaging technology in model food processed by coaxially induced microwave pasteurization and sterilization
A Soni, M Al-Sarayreh, MM Reis, J Smith, K Tong, G Brightwell
Foods 9 (6), 837, 2020
52020
M., Qi Yan, W., & Klette, R.(2018). Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images
M Al-Sarayreh, M Reis
Journal of Imaging 4 (5), 63, 0
4
Hyperspectral imaging and deep learning for food safety assessment
M Al-Sarayreh
Auckland University of Technology, 2020
12020
Detection and spatial analysis of fairy circles
M Al-Sarayreh, Z Moayed, B Bollard-Breen, JB Ramond, R Klette
2016 International Conference on Image and Vision Computing New Zealand …, 2016
12016
A critical review of social media research in sensory-consumer science
SC Hutchings, Y Dixit, M Al-Sarayreh, DD Torrico, CE Realini, SR Jaeger, ...
Food Research International, 112494, 2023
2023
A rapid method of hypercube stitching for snapshot multi-camera system
Y Dixit, M Al-Sarayreh, C Craigie, MM Reis
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
2020
GME of MPEG-4 on Multicore Processors
HA M. Al-Sarayreh
International Journal of Computer Vision and Image Processing 7 (4), 16-27, 2017
2017
Hyperspectral imaging-a tool for detection and quantification of Clostridium sporogenes spores
A Soni, M Al-Sarayreh, MM Reis, G Brightwell
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