- Research Article
- 10.1016/j.inffus.2026.104171
Multimodal fusion of 3D point cloud and intraoperative imaging to enhance surgical robot navigation
- Jul 01, 2026
- Information Fusion
- Yiheng Wang + 3 more +3
Publications from 2021 to 2026
Showing 10 of 2,672 papers
Multimodal fusion of 3D point cloud and intraoperative imaging to enhance surgical robot navigation
Precise diagnostics of multidimensional disease biomarkers via programmable DNA logic nanodevice integrated with signal-amplified visual readout
Coupled coordination of tourism eco-efficiency and economic development in China: measurement, spatio-temporal evolution, and spatial spillover
• The interactive effect of tourism eco-efficiency (TEE) and high-quality economic development (HQED) is proposed. • Coupling coordination degree model for measuring TEE and HQED coordinated degree (THCD). • THCD leaped from moderate imbalance (0.394) to low coordination (0.547). • Spatio-temporal characteristics of THCD based on Hu's line are remarkable. • The influencing factors of THCD have a significant spatial spillover effect. This study addresses a key research gap in understanding the synergistic relationship between tourism eco-efficiency (TEE) and high-quality economic development (HQED) by constructing a two-way coupling theoretical framework. Employing panel data from 30 Chinese provinces (2011–2019), the research measures TEE using a Slack-Based Measure-Data Envelopment Analysis (SBM-DEA) model with undesirable outputs, and evaluates HQED applying the entropy weight-TOPSIS method. The coupled coordination degree (THCD) model quantifies system synergy, while spatial autocorrelation analysis and a spatial Durbin model (SDM) are employed to reveal spatio-temporal patterns and driving mechanisms. The findings indicate that TEE growth (4.22% annually) outpaces HQED (0.66%), with THCD transitioning from moderate imbalance (0.394) to basic coordination (0.547), and showing a distinct east-central-west spatial gradient. A significant spatial clustering of THCD is confirmed, with population size, environmental regulation, and financial development identified as key drivers of spatial spillover. The study's originality lies in its dual-system synergistic framework, offering a novel perspective on ecological-economic mutual feedback and extending theoretical paradigms beyond single-factor analyses.
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