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Author

Muhamad Akrom

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Open access Jul 2026

Depression Detection on Indonesian Social Media Using Fine-Tuned IndoBERT and SVM

Given statistically equivalent accuracy, combining fine-tuned IndoBERT embeddings with SVM offers substantially lower storage requirements at no measurable cost in classification performance, making it a promising, resource-efficient approach for depression detection on Indonesian social media.

Donny Amanullah Putra Rahman, Muhamad Akrom, Muhammad Naufal · 0 citations
Review Open access Jul 2026

Machine Learning-Assisted Prediction of Oxygen Evolution Reaction (OER) Activity for Catalyst Discovery: A Review

This review systematically summarizes recent advances in ML-assisted OER research, focusing on key aspects including dataset construction, descriptor engineering, model development, and performance evaluation, and focuses on the role of physicochemical descriptors in governing model performance and interpretability.

Wise Herowati, Muhamad Akrom, T. Sutojo et al. · 0 citations
Review Open access Jul 2026

Quantum Machine Learning Models, Limitations, and Opportunities in the NISQ Era: A Review

A structured perspective on the current state of QML is provided to identify opportunities in deploy it effectively in solve real-world problems and to identify opportunities in deploy it effectively in solve real-world problems.

Muhamad Akrom, Aprilyani Nur Safitri, N. Hidayat et al. · 0 citations

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