Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.
A research team has developed a high-precision 3D analysis framework that reveals, for the first time, the quantitative rules ...
SE Ranking analyzed 129,000 domains to identify the top 20 factors driving ChatGPT citations. Backlinks, traffic, and trust scores ranked highest. Solid SEO fundamentals still align with higher ...
A warming climate and the increasing threat of urban wildfires have water districts assuming new responsibilities as part of their role to provide fire protection — and they're supporting that work ...
Abstract: Knowledge distillation (KD) is a predominant technique to streamline deep-learning-based recognition models for practical underwater deployments. However, existing KD methods for underwater ...
1 School of Civil Engineering and Architecture, Nanyang Normal University, Nanyang, China 2 Henan Urban Planning and Design Institute Co., Ltd., Zhengzhou, China Introduction: The process of ...
Abstract: Video editing models have advanced significantly, but evaluating their performance remains challenging. Traditional metrics, such as CLIP text and image scores, often fall short: text scores ...
Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...
When using Mapbox terrain data (both DEM and RGB formats), there appears to be a significant spatial offset in the terrain visualization. This offset can be up to 20 meters as observed in the Aspect ...
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