International Journal of Advances in Intelligent Informatics

Aims & Scope

The Journal invites original articles and not simultaneously submitted to another journal or conference.

The whole spectrum of intelligent informatics is welcome, which includes, but is not limited to Machine Learning & Soft Computing, Data Mining & Big Data Analytics, Computer Vision & Pattern Recognition, and Natural Language Processing.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 200.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Lung cancer medical images classification using hybrid CNN-SVM

  Citation: 44

  Authors: Abdulrazak Yahya, Chee Ka, Vanessa, Hamada Rasheed Hassan

• Target threat assessment using fuzzy sets theory

  Citation: 36

  Authors: Ehsan, Javad

• Biased support vector machine and weighted-smote in handling class imbalance problem

  Citation: 34

  Authors: Hartono, Opim Salim, Tulus, Erna Budhiarti

• The performance of text similarity algorithms

  Citation: 33

  Authors: Didik Dwi, Aji, Tsukasa

• Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning

  Citation: 32

  Authors: Hock Hung, Noorhaniza, Ong, Sai Raj Kishore

• K-Means cluster analysis in earthquake epicenter clustering

  Citation: 26

  Authors: Pepi, Dyah, Ulfasari

• Lettuce growth stage identification based on phytomorphological variations using coupled color superpixels and multifold watershed transformation

  Citation: 25

  Authors: Ronnie Sabino, Jonnel Dorado, Sandy Cruz, Rogelio Ruzcko, Edwin, Elmer Pamisa, Argel Alejandro

• Lettuce life stage classification from texture attributes using machine learning estimators and feature selection processes

  Citation: 25

  Authors: Sandy Cruz, Ronnie II Sabino, Jonnel Dorado, Rogelio Ruzcko, Elmer Pamisa

• A novel intelligent approach for detecting DoS flooding attacks in software-defined networks

  Citation: 22

  Authors: Majd, Levent

• Human action recognition using support vector machines and 3D convolutional neural networks

  Citation: 20

  Authors: Majd