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Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ...
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Yisha Wang, Gang Yang and Hao Lu
Rapid and accurate tree-crown detection is significant to forestry management and precision forestry. In the past few decades, the development and maturity of remote sensing technology has created more convenience for tree-crown detection and planting ma...
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Xiaoran Huang, Pixin Gong, Siyan Wang, Marcus White and Bo Zhang
Research on historic preservation zones (HPZs) has recently attracted increasing attention from academia and industry. With eight Beijing typical HPZs selected, this study evaluates critical vitality characteristics and identifies the key influencing fac...
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Wei Peng and Rene V. Mayorga
This paper proposes a novel statistical approach for blending source waters in a public water distribution system to improve water quality (WQ) by minimizing the release of heavy metals (HMR). Normally, introducing a new source changes the original balan...
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