Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning-Reference-Cited by-同舟云学术

Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning

Published:2024 Issue: Volume:12 Page:71055-71065
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alghamdi Mohammed¹^ORCID,Mengash Hanan Abdullah²^ORCID,Aljebreen Mohammed³,Maray Mohammed⁴^ORCID,Darem Abdulbasit A.⁵^ORCID,Salama Ahmed S.⁶^ORCID

Affiliation:

1. Department of Information and Technology Systems, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

3. Department of Computer Science, Community College, King Saud University, Riyadh, Saudi Arabia

4. Department of Information Systems, College of Computer Science, King Khalid University, Abha, Saudi Arabia

5. Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia

6. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

Funder

Deanship of Scientific Research, King Khalid University

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

King Saud University, Riyadh, Saudi Arabia

Deanship of Scientific Research at Northern Border University, Arar, KSA

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10528273.pdf?arnumber=10528273

Reference25 articles.

1. Identifying common stored product insects using automated deep learning methods

2. Prediction of Merchandise Sales on E-Commerce Platforms Based on Data Mining and Deep Learning

3. Cultural and Creative Product Design and Image Recognition Based on Deep Learning

4. Deep learning-based detection of aluminum casting defects and their types

5. Implementation of online and offline product selection system using FCNN deep learning: Product analysis