Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

I. Yuadi

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Digital forensics for cultural preservation: multi-device image classification of the historic Surabaya City Hall

Cultural heritage preservation increasingly relies on digital forensics to ensure authenticity and consistency in heritage documentation. This study presents a digital forensic framework based on machine learning for classifying multi-device images of the historic Surabaya City Hall. The dataset was collected from nine...

Ulfa Meilinda Putri, I. Yuadi · 0 citations
Open access Aug 2026

Machine Learning–Driven Classification Model to Support Study Assignment Decisions under the Study-on-Mission Program at PT X

This study evaluates the efficacy of machine learning as a decision support instrument for mission assignment at PT X, grounded in empirical model performance and data attributes, indicating that machine learning models are more efficacious when utilized as decision support systems instead of automated decision-makers.

Annisa Putri Permatasari, I. Yuadi · 0 citations
Open access Sep 2026

Tarsius Image-Source Classification Using VGG Feature Extraction and Machine Learning Classifiers

VGG-19 with Logistic Regression provides the most balanced performance for the available dataset and demonstrates that predictive metrics and feature-space visualizations should be interpreted jointly and remain limited by the small, web-sourced dataset and incomplete provenance records.

Caecilia Eva Martina Korompis, I. Yuadi · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.