As a result, abundant evidence has augmented to support the landscape–health co-relationships at the turn of the 21st century in fields ranging from architecture and humanities to medicine and ecology (Lauwers et al., 2020a; Menatti and Casado da Rocha, 2016). Increased attention to multiple...
The HRNet-OCR network architecture (Fig.4), constituting the core of the deep learning model, was designed to tackle the challenges posed by the multi-scale information extraction and the inadequacy of contextual information in VHR images. Leveraging the High-Resolution Network (HRNet)39as the bac...
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In this study, 𝑉=(0.9,0.7,0.5,0.3,0.1)V=(0.9,0.7,0.5,0.3,0.1) indicates that the evaluation attitudes are ranked from very good (VG), good (G), medium (M), poor (P) to very poor (VP). 4.3.2. Establishing the Fuzzy Evaluation Matrix Based on the summarization of the ...
RQ5: In which way can a common architecture be formalised to encompass Agriculture 4.0 core elements and support the implementation of future smart agricultural systems? Considering this, the remainder of this document is organised as follows. Section 2 (Principles and Methods) presents the fundamenta...
this study sorted the key allocation indicators that affect the cooling effect, and ranked their importance based on the model results, calculating the action thresholds. This approach provided a scientific basis for the optimization of green–blue spatial configurations under the guidance of climate su...
Betula Forest was ranked in fourth place, with the appreciation of the evaluators to making up for its poor visual sensitivity. The reason for the poor comprehensive visual evaluation results of the last five scenic locations was the lower scores of subjective SBE evaluation and objective GIS ...
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