Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach”
Presents corrections to the paper, (Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach”).
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/10747778/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846172994992340992 |
|---|---|
| author | Aysha Naseer Hamdan A. Alzahrani Nouf Abdullah Almujally Khaled Al Nowaiser Naif Al Mudawi Asaad Algarni Jeongmin Park |
| author_facet | Aysha Naseer Hamdan A. Alzahrani Nouf Abdullah Almujally Khaled Al Nowaiser Naif Al Mudawi Asaad Algarni Jeongmin Park |
| author_sort | Aysha Naseer |
| collection | DOAJ |
| description | Presents corrections to the paper, (Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach”). |
| format | Article |
| id | doaj-art-e417e0fa28ad4b9ca2da6f91a77427d5 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e417e0fa28ad4b9ca2da6f91a77427d52024-11-09T00:00:59ZengIEEEIEEE Access2169-35362024-01-011216310916310910.1109/ACCESS.2024.348887210747778Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach”Aysha Naseer0Hamdan A. Alzahrani1Nouf Abdullah Almujally2Khaled Al Nowaiser3Naif Al Mudawi4Asaad Algarni5https://orcid.org/0000-0002-0817-5775Jeongmin Park6https://orcid.org/0000-0001-8027-0876Department of Computer Science, Air University, Islamabad, PakistanInformation Technology Department, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi ArabiaDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428,, Riyadh, Saudi ArabiaDepartment of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaDepartment of Computer Science, College of Computer Science and Information System, Najran University, Najran, Saudi ArabiaDepartment of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi ArabiaDepartment of Computer Engineering, Tech University of Korea, Siheung-si, Gyeonggi-do, South KoreaPresents corrections to the paper, (Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach”).https://ieeexplore.ieee.org/document/10747778/ |
| spellingShingle | Aysha Naseer Hamdan A. Alzahrani Nouf Abdullah Almujally Khaled Al Nowaiser Naif Al Mudawi Asaad Algarni Jeongmin Park Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” IEEE Access |
| title | Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” |
| title_full | Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” |
| title_fullStr | Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” |
| title_full_unstemmed | Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” |
| title_short | Corrections to “Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach” |
| title_sort | corrections to x201c efficient multi object recognition using gmm segmentation feature fusion approach x201d |
| url | https://ieeexplore.ieee.org/document/10747778/ |
| work_keys_str_mv | AT ayshanaseer correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT hamdanaalzahrani correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT noufabdullahalmujally correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT khaledalnowaiser correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT naifalmudawi correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT asaadalgarni correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d AT jeongminpark correctionstox201cefficientmultiobjectrecognitionusinggmmsegmentationfeaturefusionapproachx201d |