A5102913878- Graphene research and applications
- Parallel Computing and Optimization Techniques
- Forecasting Techniques and Applications
- Sustainable Industrial Ecology
- Quantum and electron transport phenomena
- Advanced Data Storage Technologies
- Market Dynamics and Volatility
- Distributed and Parallel Computing Systems
- Environmental Impact and Sustainability
- Simulation Techniques and Applications
- Geochemistry and Elemental Analysis
- Geological and Geochemical Analysis
- Markov Chains and Monte Carlo Methods
- Topological Materials and Phenomena
- Energy, Environment, Economic Growth
- Speech Recognition and Synthesis
- Geological formations and processes
National Yang Ming Chiao Tung University
2023
Palo Alto Research Center
2002
This study investigates the feedback of English-major students regarding use open educational resources (OER) for self-directed English speaking practice. The research involves 150 first-year from a university in Central Vietnam, aiming to investigate perceived benefits and challenges using OER practice skills. employs combination quantitative qualitative methods through questionnaires semi-structured interviews. Quantitative data were analyzed descriptive statistics thematic analysis. In...
The SPARCcenter 2000 is the first implementation of a new generation symmetric high-performance, highly configurable SPARC multiprocessor systems. With up to 20 processors, extensive main memory, expansibility, and large IO capacity, designed meet computing needs most corporate data centers. A high throughput system interconnect, composed two interleaved XDBuses, combined with scalability, make right platform for computationally intensive tasks. Reliability availability features, full binary...
The research on audio clue-based target speaker extraction (TSE) has mostly focused modeling the mixture and reference speech, achieving high performance in English due to availability of large datasets. However, less attention been given consistent properties human speech across languages. To bridge this gap, we introduce WHYV (Wanna Hear Your Voice), which addresses challenge transferring TSE models from one language another without fine-tuning. In work, proposed a gating mechanism that be...
Selective state space models (SSM), such as Mamba, have gained prominence for their effectiveness in modeling sequential data. Despite outstanding empirical performance, a comprehensive theoretical understanding of deep selective SSM remains elusive, hindering further development and adoption applications that need high fidelity. In this paper, we investigate the dynamical properties tokens pre-trained Mamba model. particular, derive system governing continuous-time limit model characterize...
This study examines the impact of economic policy uncertainty (EPU) on performance Vietnamese listed companies from 2010 to 2022. EPU is measured by standardizing search volume index relevant keywords using data Google Trends and Glimpse. The findings regression models show a negative relationship between both return total assets equity in Vietnam during period 2010-2022. provides additional evidence emerging markets reinforce firm supplements new measurement Vietnam. Furthermore, suggests...