Open Access Policy

This journal is an open-access journal that provides immediate, worldwide, barrier-free access to the full text of all published articles without charge readers or their institutions for access. Readers have the right to read, download, copy, distribute, print, search, or link to the full texts of all articles in the International Journal of Advances in Intelligent Informatics. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

List of Articles Submitted for Scopus Indexing

Below is the list of links to all articles submitted for the purpose of Scopus indexing. Each link directs to the full-text version of the respective Open Access article.

  1. Comparative Analysis of Fuzzy Logic Models for Depression Prediction: Python and LabVIEW Approaches
    DOI: https://doi.org/10.56705/ijodas.v5i3.189

  2. Bayesian Analysis of Two Parameter Weibull Distribution Using Different Loss Functions
    DOI: https://doi.org/10.56705/ijodas.v5i3.179

  3. Predicting Plant Growth Stages Using Random Forest Classifier: A Machine Learning Approach
    DOI: https://doi.org/10.56705/ijodas.v5i2.167

  4. Advancements in Agricultural Automation: SVM Classifier with Hu Moments for Vegetable Identification
    DOI: https://doi.org/10.56705/ijodas.v5i1.123

  5. Evaluating the Performance of Voting Classifier in Multiclass Classification of Dry Bean Varieties
    DOI: https://doi.org/10.56705/ijodas.v5i1.124

  6. Automated Classification of COVID-19 Chest X-ray Images Using Ensemble Machine Learning Methods
    DOI: https://doi.org/10.56705/ijodas.v5i1.127

  7. Rice Leaf Disease Classification with Machine Learning: An Approach Using Nu-SVM
    DOI: https://doi.org/10.56705/ijodas.v4i3.114

  8. Enhancing Disease Management in Mango Cultivation: A Machine Learning Approach to Classifying Leaf Diseases
    DOI: https://doi.org/10.56705/ijodas.v4i3.111

  9. Comparison of Machine Learning Land Use-Land Cover Supervised Classifiers Performance on Satellite Imagery Sentinel 2 using Lazy Predict Library
    DOI: https://doi.org/10.56705/ijodas.v4i3.102

  10. Comparison Analysis of Random Forest Classifier, Support Vector Machine, and Artificial Neural Network Performance in Multiclass Brain Tumor Classification
    DOI: https://doi.org/10.56705/ijodas.v4i2.73

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