|
|
|
|
|
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kate Carlson, Barbara P. Buttenfield and Yi Qiang
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yanan Wu, Yalin Yang and May Yuan
Conventional spatiotemporal methods take frequentist or density-based approaches to map event clusters over time. While these methods discern hotspots of varying continuity in space and time, their findings overlook locations of routine occurrences where...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Isam Mashhour Al Jawarneh, Luca Foschini and Paolo Bellavista
Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data. particularly, future urban planning requires restric...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aynaz Lotfata, Stefanos Georganos, Stamatis Kalogirou and Marco Helbich
Some studies have established relationships between neighborhood conditions and health. However, they neither evaluate the relative importance of neighborhood components in increasing obesity nor, more crucially, how these neighborhood factors vary geogr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miguel Saraiva, Irina Matijo?aitiene, Saloni Mishra and Ana Amante
Crimes are a common societal concern impacting quality of life and economic growth. Despite the global decrease in crime statistics, specific types of crime and feelings of insecurity, have often increased, leading safety and security agencies with the n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guiming Zhang
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observatio...
ver más
|
|
|
|
|
|