This study introduces Vision Mamba (ViM), leveraging a Selective State Space Model to capture long-range temporal dependencies with linear computational complexity, validating the ViM as a highly efficient solution that balances computational feasibility with good performance in detecting complex criminal activities at...
Rahman Indra Kesuma, M. L. Khodra, B. R. Trilaksono· IEEE Access· 0 citations
The discussion proposes a layered governance architecture that integrates identity assurance, biometric verification, cyber defence, privacy governance, interoperability orchestration, and accountability mechanisms within a single DPI-oriented framework.
Eko Wahyu Bintoro, B. R. Trilaksono, S. Supangkat· IEEE Access· 0 citations
This research addresses the common challenge of a lack of context in Question and Answer (QA) datasets in digital education, which limits the reasoning potential of Large Language Models (LLMs). To address this, we optimize an automated retrieval-based dataset generation system that systematically enriches QA pairs wit...
Viny Christanti Mawardi, Ayu Purwarianti, B. R. Trilaksono et al.· International Conference on...· 0 citations
This study establishes that fault discrimination relies on transient impulse morphology rather than bearing characteristic frequencies, a finding invisible to feature-level XAI, and introduces a multi-resolution diagnostic framework bridging deep learning accuracy with physically interpretable vibration analysis for tr...
T. Suharto, Kadarsah Suryadi, B. Iskandar et al.· Emerging Science Journal· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
