Vol. 11 No. 3 (2023)

View Vol. 11 No. 3 (2023)

This issue of International Journal of Applied Methods in Electronics and Computers (Vol. 11, No. 3, 2023) highlights innovative research in AI-driven diagnostics, robotics, and sustainability. Topics include breast cancer detection using ResNet models, multi-robot object delivery, textile defect detection with ensemble learning, strawberry leaf disease classification, human gait recognition via deep learning, and sustainability integration into blockchain systems.

Formerly: International Journal of Applied Mathematics, Electronics, and Computers (e-ISSN: 2147-8228)

Published: 30-09-2023

Research Articles

  • Benchmarking of ResNet models for breast cancer diagnosis using mammographic images

    Hasan Serdar Macit, Kadir Sabanci
    128-133
    DOI: https://doi.org/10.58190/ijamec.2023.39

  • A Non-Contact Object Delivery System Using Leader-Follower Formation Control for Multi-Robots

    Halil İbrahim Dokuyucu, Nurhan Gürsel Özmen
    134-144
    DOI: https://doi.org/10.58190/ijamec.2023.40

  • Ensemble learning application for textile defect detection

    Okan Guder , Sahin Isik , Yildiray Anagun
    145-150
    DOI: https://doi.org/10.58190/ijamec.2023.41

  • ResNet for Leaf-based Disease Classification in Strawberry Plant

    Pranajit Kumar Das, Subarna Sarker Rupa
    151-157
    DOI: https://doi.org/10.58190/ijamec.2023.42

  • An analysis of the integration of sustainability concepts into blockchain technology

    Nazmiye Eligüzel
    158-164
    DOI: https://doi.org/10.58190/ijamec.2023.43

  • A deep learning approach for human gait recognition from time-frequency analysis images of inertial measurement unit signal

    Hacer Kuduz, Fırat Kaçar
    165-173
    DOI: https://doi.org/10.58190/ijamec.2023.44