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Dynamic model reduction using modal truncation in the building motion problemModal truncation, an advanced algorithm for model reduction in dynamic systems, efficiently simplifies complex models by selectively discarding less influential eigenmodes, maintaining a balance... Author: Vũ Nguyệt Thị Keyword: Modal truncation model reduction dynamic systems eigenmode analysis duilding motion model
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An Efficient TinyML Framework for Real-Time Sensor Data ProcessingThe rapid growth of real-time sensor applications in edge environments requires efficient data processing under strict resource constraints. This paper proposes a TinyML-based framework that... Author: Kiên Phạm Xuân Keyword: TinyML Edge Computing Real-Time Processing Model Optimization Resource-Constrained Systems Computational Efficiency
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Adaptive Reflection Control for Anti-Jamming Backscatter Communication under Dynamic InterferenceBackscatter communication is a key enabling technology for ultra-low-power Internet of Things (IoT) systems; however, the inherently weak reflected signals make the communication links highly... Author: Hiep Le Hoang, Tran Minh Duy Keyword: Anti-jamming backscatter communication Adaptive reflection control Interference-resilient IoT networks Dynamic jamming mitigation Energy-efficient backscatter systems
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Machine learning-based methods for supporting fake news detectionIn the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis... Author: Anh Tran Thi Lan Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND
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