Abstract Nature‐based tourism is a rapidly growing subsector of the international tourism industry. However, capturing broad‐scale patterns of nature visits during touristic trips or visitors' appreciation of nature may be difficult using traditional data sources and methods. In this study, we harness geotagged social media data to understand the scale
Matti Hästbacka +4 more
wiley +1 more source
Extended Grammar of Systematized Nomenclature of Medicine - Clinical Terms for Semantic Representation of Clinical Data: Methodological Study. [PDF]
Gaudet-Blavignac C +6 more
europepmc +1 more source
Preserving and enhancing cultural heritage through art design using feature pyramid network optimized by modified builder optimization algorithm. [PDF]
Fu X, Razmjooy N.
europepmc +1 more source
Digitalising biodiversity: Exploring perceptions on risks and opportunities
Digitalisation is transforming biodiversity conservation, offering new opportunities for research, governance and public engagement. Herbarium digitisation, for example, enables large‐scale access to plant data, supporting conservation, restoration and sustainable use.
Björn‐Ola Linnér +9 more
wiley +1 more source
Open-Vocabulary Predictive World Models from Sensor Observations. [PDF]
Karlsson R +5 more
europepmc +1 more source
Tracing change in the public perception of plants: insights from archives and social media in China
As urbanization accelerates, historic gardens serve as vital cultural treasures that offer spiritual and cultural support to the public. This study proposes an innovative approach that merges historical records from the Qing Dynasty with contemporary social media data to explore changes in public perceptions of these gardens.
Dong Xu +4 more
wiley +1 more source
Evaluation and Improvement of Image Aesthetics Quality via Composition and Similarity. [PDF]
Cui X, Tu G, Wang G, Zhang S, Mo L.
europepmc +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
The Multidimensional Nature of Semantic Transparency in a Cross-Linguistic Perspective: Evidence From Human Intuitions, Computational Estimates, and Processing Data for Chinese Compounds. [PDF]
Chen J, Chersoni E, Marelli M, Huang CR.
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source

