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VOL 17, NO 2 (2026)
Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images
I Gede Susrama Mas Diyasa, Denisa Septalian Alhamda, Hanifudin Sukri, Muhammad Salsabeela Rusdi, Deshinta Arrova Dewi, Hana Titania Sastrian, Sayyidah Humairah, Kraugusteeliana Kraugusteeliana
US$ 1000
Article processing charge7 days
Time to first decision28 days
Review time85 days
Submission to AcceptanceNewest articles
Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images
I Gede Susrama Mas Diyasa, Denisa Septalian Alhamda, Hanifudin Sukri, Muhammad Salsabeela Rusdi, Deshinta Arrova Dewi, Hana Titania Sastrian, Sayyidah Humairah, Kraugusteeliana Kraugusteeliana
Abstraction–Reconstruction as a Lens for Computational Design Thinking: A Comparative Study of the Parametric Design Environment and Building Information Modeling-Based Modeling
Aswin Indraprastha, Fauzan Alfi Agirachman, Rakhmat Fitranto Aditra
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