Using Residual Learning in the Food Processing Sector: The Case of Banana Sorting-Reference-Cited by-同舟云学术

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Using Residual Learning in the Food Processing Sector: The Case of Banana Sorting

Published:2023 Issue: Volume: Page:406-412
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Almezhghwi Khaled^ORCID,Algazewe Wadei^ORCID,Shwehdi Rabei^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25252-5_54

Reference12 articles.

1. Almezhghwi, K., Serte, S., Al-Turjman, F.: Convolutional neural networks for the classification of chest X-rays in the IoT era. Multimedia Tools Appl. 80(19), 29051–29065 (2021). https://doi.org/10.1007/s11042-021-10907-y

2. Abdulkader, H., Georges, E., Hadi, S., Dilber, U.O.: Deep networks in identifying CT brain hemorrhage. J. Intel. Fuzzy Syst., (Preprint), 1–1 (2018). https://doi.org/10.3233/JIFS-172261

3. Kaymak, S., Almezhghwi, K., Shelag, A.A.S.: Classification of diseases on chest X-rays using deep learning. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F.M. (eds.) ICAFS 2018. AISC, vol. 896, pp. 516–523. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04164-9_69

4. Christian, S., et al.: Going deeper with convolutions. Cvpr. (2015). https://doi.org/10.48550/arXiv.1409.4842

5. Ebenezer, O., Adefemi, A.A., Temitope, O., Adnan, K.: Automatic System for Grading Banana Using GLCM Texture Feature Extraction and Neural Network Arbitration. J. Food Process Eng. 40(6), 1 (2017). https://doi.org/10.1111/jfpe.12575

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