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General Information
ISSN: 2301-3699 (Print); 2972-3973 (Online)
Frequency:
Bimonthly
Managing Editor:
Ms. Alice Loh
DOI:
10.18178/joig
Abstracting/Indexing:
Scopus
(Since 2021),
CNKI
, Google Scholar, Crossref, etc.
APC:
500 USD
Average Days to Accept:
98 days
Acceptance Rate:
19%
E-mail:
editor@joig.net
Journal Metrics:
5
.
0
2024
CiteScore
69rd percentile
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Editor-in-Chief
Dr. Branislav Vuksanovic
Deputy Head of Department, Systems Engineering Department, Military Technological College, Muscat, Oman
I am very excited to serve as the first Editor-in-Chief of the International Journal of Image and Graphics (JOIG) and hope that the publication can enrich the readers’ experience... [
Read More
]
What's New
2025-06-04
All papers published in Vol. 13, No. 2 have been indexed by SCOPUS.
2025-06-04
JOIG received the CiteScore 2024 with 5.0
2025-04-30
Volume 13, No. 2 has been published now.
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Volume 13, No. 4, 2025
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Volume 13, No. 4, 2025
Article#
Article Title & Authors (Volume 13, No. 4, 2025)
Page
1
Leveraging ImageNet’s Hierarchical Structure for Enhanced Image Classification and Retrieval
Luis E. Muñoz Guerrero, Yony F. Ceballos, and Luis D. Trejos Rojas*
304
2
Integrating Spatial Pyramid Pooling for Multi-scale Brain Tumor Classification in Deep Learning
Karrar A. Kadhim, Ola N. Kadhim, and Fallah H. Najjar*
315
3
Enhancing Smart Wheelchair Navigation through Head Motion Detection: A YOLO-based Approach
Fitri Utaminingrum*, Erlinda Butarbutar, Rahma Nur Fitriyani, Yvette Celia Aviani, and Atik Qomariyah
325
4
Dynamic Attention for Enhancement of Weak Contrast Images Using Advance ASENet
Muddapu Harika*, Gottapu Sasibhushana Rao, and Rajkumar Goswami
336
5
A Comparative Study of Convolutional Neural Networks (CNN) Architectures on Microscopic Blood Film Images for Malaria Diagnosis
Matthew C. Okoronkwo, Chikodili H. Ugwuishiwu*, Boniface Emmanuel, Collins N. Udanor, Charles Ikerionwu, Osondu E. Oguike, Nnaemeka E. Ogbene, Rita N. Nweke, Folake O. Adegoke, Kenneth Ugwu, Ignatius I. Ayogu, and Anthony C. Ike
348
6
Performance Evaluation of Different Optimizers on Alzheimer’s Disease Classification Using a Customized Convolutional Neural Network
Pallavi Saikia* and Sanjib Kr Kalita
362