Background: Multimodal Generative Artificial Intelligence (AI) is transforming educational technology by enabling systems to generate and interpret multiple forms of information, including text, images, diagrams, audio, and video, primarily through multimodal large language models (MLLMs). Prior reviews of AI in educat...
Selly Meliana, D. Lestari, B. R. Trilaksono· IEEE Access· 0 citations
Experimental results demonstrate that the proposed design preserves learning convergence while reducing training latency, making it well suited for low-power edge DRL applications for autonomous agents.
A. Sumarudin, Andi M. Riyadhus Ilmy, Nana Sutisna et al.· IEEE Access· 0 citations
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
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