Vol. 14 No. 1 (2026)

View Vol. 14 No. 1 (2026)

This issue of the International Journal of Applied Methods in Electronics and Computers (Vol. 14, No. 1, 2026) presents current research on machine learning, deep learning, spatial analysis, and intelligent response systems. The featured articles cover early tomato disease diagnosis, LiDAR–photogrammetry fusion in urban scenes, orthopedic disease classification, explainable lung cancer analysis, and domain-specific fine-tuning of large language models for elevator emergency response systems.

Published: 31-03-2026

Research Articles

  • Early Diagnosis of Tomato Diseases Using Machine Learning to Reduce Pesticide Application

    Nasir Cetin, Ziya Ozcelik, Yavuz Selim Taspinar
    1-13
    DOI: https://doi.org/10.58190/ijamec.2026.161

  • Simulation-Based Evaluation of LiDAR–Photogrammetry Fusion via NeRF Reconstruction and ICP Registration in Urban Scenes

    Rytis Maskeliūnas, Sarmad Maqsood, Ahmad Qurthobi, Irfan Abbas, Mantas Vaškevičius, Julius Gelšvartas
    14-19
    DOI: https://doi.org/10.58190/ijamec.2026.162

  • Classification of Orthopedic Diseases Using Biomechanical Properties with Machine Learning Methods

    Mehmet Cüneyt Özbalcı, Turgay Tugay BİLGİN
    20-33
    DOI: https://doi.org/10.58190/ijamec.2026.163

  • Deep Learning-Based Lung Cancer Classification and Grad-Cam++ With Lime-Supported Explainability Analysis

    Yasin DOĞANŞAH, İnayet Hakki CIZMECI, Murat KOKLU
    34-48
    DOI: https://doi.org/10.58190/ijamec.2026.164

  • Domain-Specific Fine-Tuning of LLMs for Elevator Emergency Response Systems

    Busra Onal, Muhammet Fatih Aslan, Akif Durdu
    49-58
    DOI: https://doi.org/10.58190/ijamec.2026.165