Benchmarking of ResNet models for breast cancer diagnosis using mammographic images
Karamanoglu Mehmetbey University, Department of Electrical and Electronics Engineering, 70200 Karaman, Turkey

Published: September 30, 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)
Karamanoglu Mehmetbey University, Department of Electrical and Electronics Engineering, 70200 Karaman, Turkey
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
Computer Engineering, Tokat Gaziosmanpasa University, Engineering and Architecture Faculty, 60150, Tokat, Turkey; Computer Engineering, Eskisehir Osmangazi University, Engineering and Architecture Faculty, 26480, Eskisehir, Turkey
Computer Science and Engineering Department, Sylhet Agricultural University, Sylhet-3100, Bangladesh; Sylhet Engineering College, Sylhet-3100, Bangladesh
Gaziantep Islam Science and Technology University, Industrial Engineering, 27010 Gaziantep, Turkey
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