3 January 2023
Accessibility of health services signifies the quality and equitability of universal health provision. The hierarchical medical system recently implemented in China offers the policy instruments to improve medical services to the elderly in an aging...
Since the introduction of super-resolution microscopy, there has been growing interest in quantifying the nanoscale spatial distributions of fluorescent probes to better understand cellular processes and their interactions. One way to check if distri...
Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Tha...
Patterns of spatial heterogeneity in forests and other fire-prone ecosystems are increasingly recognized as critical for predicting fire behavior and subsequent fire effects. Given the difficulty in sampling continuous spatial patterns across scales,...
Alpine, subalpine and boreal tree species, of low genetic diversity and adapted to low optimal temperatures, are vulnerable to the warming effects of global climate change. The accurate prediction of these species’ distributions in response to climat...
In today’s changing climate, the development of robust, accurate and globally applicable models is imperative for a wider understanding of Earth’s terrestrial biosphere. Moreover, an understanding of the representation, sensitivity and coherence of s...
The ability to autonomously navigate and explore complex 3D environments in a purposeful manner, while integrating visual perception with natural language interaction in a human-like way, represents a longstanding research objective in Artificial Int...
Vision-and-Language Navigation (VLN) is a representative task in embodied artificial intelligence, requiring agents to perceive, understand, and make navigation decisions in partially observable environments according to natural language instructions...
Unmanned aerial vehicle (UAV) red–green–blue–infrared (RGB-IR) object detection is important for traffic monitoring, security surveillance, and urban management, but remains challenging because aerial targets are often small, densel...
Wave propagation along acoustic black hole waveguides (ABH) consisting of arrays of functionally graded perforated rings (FGPR) is investigated by developing their linearized electro-acoustic analog models. These models simulate the interactions betw...
Subway fire evacuations face severe challenges due to high passenger density, spatial unfamiliarity, and toxic smoke, which often render traditional static signage ineffective and cause chaotic congestion. To address this, we propose a drone-assisted...
With the development of aerospace technology, the variety and complexity of spacecraft components have increased. Traditional manual and machine learning-based detection methods struggle to accurately and quickly identify these parts. Deep learning-b...
With the rapid development of renewable energy, wind power forecasting has become increasingly important in power system scheduling and management. However, the forecasting of wind power is subject to the complex influence of multiple variable featur...
In response to the need for precision and intelligence in the assessment of transplanting machine operation quality, this study addresses challenges such as low accuracy and efficiency associated with manual observation and random field sampling for...
Autonomous vehicles operating at signalized intersections face fundamental challenges arising from queue dynamics, signal-phase transitions, and tightly coupled multi-vehicle interactions. Conventional motion-planning methods, which rely primarily on...
Artificial intelligence (AI)-based 3D eye tracking is a fundamental enabling technology for human–computer interaction (HCI), extended reality (XR), and intelligent spatial computing. However, physical evaluation methodologies are heavily limit...
The radiological impact of radionuclide transport via groundwater pathways at the Wolsong Low- and Intermediate-Level Waste (LILW) Disposal Center was estimated by considering site-specific characteristics, including hydrogeology, geochemistry, and l...
This study investigates multiple-wake interactions and downstream power losses in a heterogeneous tandem array comprising DTU 10-MW and NREL 5-MW offshore wind turbines. TurbSim is used to generate turbulent inflow fields, and a three-turbine tandem...
Designing complex UAV swarm performances like drone light shows and aerial displays demands both geometric precision and expressive flexibility, yet existing approaches rely on manually crafted trajectories, requiring substantial manual effort and li...