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3 articles for “Vietnam”
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Assessment of Soil Heavy Metal Contamination Using Proximal Spectroscopy and Hyperspectral Remote Sensing: A Brief Review and Potential Application in Vietnam
Abstract: Soil contamination by heavy metals is a pressing global environmental concern, impacting ecosystem health, agricultural productivity, and human well-being. In Vietnam, rapid economic growth and industrialisation exacerbate these concerns, with diverse landscapes and intensive land use practices increasing susceptibility to heavy metal pollution. This study provides an overview of the assessment of soil heavy metal contamination, focusing on proximal spectroscopy and hyperspectral remote sensing techniques and their potential application in …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 48–57 Read article
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Evaluating the Role of Energy Storage Systems in Vietnam’s Renewable Energy Integration
Abstract: Energy transition is taking place around the world due to the strong penetration of renewable energy sources in modern power systems. However, the most important disadvantage of these power sources is their instability. As a result, power systems are facing major challenges in transmission and distribution with unpredictable daily and seasonal fluctuations to meet the demands of human activities. Energy storage is being considered as one of the potential solutions …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 44–54 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article