verifiedOpen Access Peer-Reviewed Scientific Journal (CC BY 4.0)
Peer-Reviewed Academic JournalInternational Journal of Applied Methods in Electronics and Computers
ISSN: 3023-4409DOI Prefix: 10.58190/ijamec
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Vol. 11 • Issue 36 Published Articles

Volume 11, Issue 3 (2023)

Published: September 29, 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.

Table of Contents

6 Articles • Full Text & Open Access
Research ArticlesverifiedPeer-ReviewedOpen Access
Pages: 134-144

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

Halil İbrahim DokuyucufingerprintNurhan Gürsel Özmen fingerprint

General Directorate of Trabzon Water and Sewerage, Sanayi Mah. Devlet Karayolu Cad. Yaren Sok. No:1, Trabzon 61030, Türkiye; Karadeniz Technical University, Department of Mechanical Engineering 61080, Trabzon, Türkiye

Published: Sep 28, 2023|DOI: 10.58190/ijamec.2023.40
visibility2,153download568
Research ArticlesverifiedPeer-ReviewedOpen Access
Pages: 145-150

Ensemble learning application for textile defect detection

Okan Guder fingerprintSahin Isik fingerprintYildiray Anagunfingerprint

Computer Engineering, Tokat Gaziosmanpasa University, Engineering and Architecture Faculty, 60150, Tokat, Turkey; Computer Engineering, Eskisehir Osmangazi University, Engineering and Architecture Faculty, 26480, Eskisehir, Turkey

Published: Sep 28, 2023|DOI: 10.58190/ijamec.2023.41
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Research ArticlesverifiedPeer-ReviewedOpen Access
Pages: 151-157

ResNet for Leaf-based Disease Classification in Strawberry Plant

Pranajit Kumar DasfingerprintSubarna Sarker Rupafingerprint

Computer Science and Engineering Department, Sylhet Agricultural University, Sylhet-3100, Bangladesh; Sylhet Engineering College, Sylhet-3100, Bangladesh

Published: Sep 28, 2023|DOI: 10.58190/ijamec.2023.42
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Research ArticlesverifiedPeer-ReviewedOpen Access
Pages: 165-173

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

Hacer KuduzfingerprintFırat Kaçarfingerprint

Division of Biomedical Engineering, Institute of Graduate Studies, Istanbul University-Cerrahpasa, 34320, Istanbul, Türkiye; Department of Electrical and Electronics Engineering, Faculty of Engineering, Istanbul University-Cerrahpasa, 34320, Istanbul, Türkiye

Published: Sep 28, 2023|DOI: 10.58190/ijamec.2023.44
visibility1,908download713