Abstract The Thị Vải River is an important estuarine system in southeastern Vietnam that faces increasing water-quality pressure from industrialization and human activities, particularly in relatio...
<p><strong>Tác giả:</strong> Tran Thi Kim Tho, Nguyen Bich Hien, Nguyễn Hoàng Anh</p>
<p>Abstract The Thị Vải River is an important estuarine system in southeastern Vietnam that faces increasing water-quality pressure from industrialization and human activities, particularly in relation to total suspended solids (TSS). Conventional monitoring is often limited by sparse sampling and high operational costs, making remote sensing and machine learning promising alternatives for water-quality assessment. This study evaluated the performance of Random Forest (RF) and Gradient Tree Boos...</p>
<p>📄 DOI: <a href="https://doi.org/https://doi.org/10.1088/1755-1315/1657/1/012024" target="_blank" rel="noopener">https://doi.org/10.1088/1755-1315/1657/1/012024</a></p>
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