Automated forged driver's license detection is important for digital identity verification, but many prior studies are difficult to compare because they use different datasets, preprocessing pipelines, and evaluation protocols. This paper presents a controlled comparison of handcrafted and deep learning pipelines for b...
Roshan Andrei S. Dizon, Pochiolo Iñigo S. Esguerra, Arlene R. Caballero et al.· International Conference on...· 0 citations
Smart contract vulnerabilities continue to threaten the security and reliability of blockchain-based applications, especially as blockchain systems are increasingly integrated into digital finance, supply chains, identity management, and other intelligent service environments. In these convergent digital systems, depen...
G. A. Sampedro, Arlene R. Caballero· International Conference on...· 0 citations
Findings indicate that ensemble-based classifiers (Random Forest, CatBoost) are better suited to this structured smart contract feature representation than the evaluated deep learning baselines.
G. A. Sampedro, Yan-Hui Cheng, Arlene R. Caballero et al.· Frontiers in Blockchain· 0 citations
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