Vol. 14 No. 2 (2026)

View Vol. 14 No. 2 (2026)

This issue of the International Journal of Applied Methods in Electronics and Computers (Vol. 14, No. 2, 2026) presents applied research on image processing, machine learning, mobile health informatics, and agricultural data analysis. The featured articles cover image-based potato disease detection, data-augmentation-supported breast cancer classification, an offline-first mobile reporting system for digital One Health surveillance in resource-constrained settings, and morphological feature-based raisin variety classification.

Published: 30-06-2026

Research Articles

  • Analysis of Potato Diseases Using Image Processing Methods for Detection

    Muhammed Ali Akçay, Ibrahim Demirci , Yavuz Selim Taspinar
    59-69
    DOI: https://doi.org/10.58190/ijamec.2026.170

  • Performance Analysis of Machine Learning Algorithms on Wisconsin Diagnostic Breast Cancer Data Set Enriched with Data Augmentation Technique

    Ayça Acet, Abdullah Erhan Akkaya
    70-80
    DOI: https://doi.org/10.58190/ijamec.2026.171

  • An Offline-First Mobile Reporting System for Digital One Health Surveillance in Resource-Constrained Settings

    Edoghogho Olaye, Daniel Obuh
    81-88
    DOI: https://doi.org/10.58190/ijamec.2026.172

  • Comparative Evaluation of Machine Learning Algorithms for Raisin Variety Classification Based on Morphological Features

    Hüseyin Bulduk, Kadir SABANCI
    89-101
    DOI: https://doi.org/10.58190/ijamec.2026.173