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Oct 9, 2024 · This study aims to provide an in-depth analysis of the most recent advancements in recognizing abnormal behaviors in large crowds.
Jun 26, 2024 · We develop innovative computational algorithms and geovisualization techniques to help address real-world problems in diverse areas such as human mobility and ...
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Jan 22, 2024 · This review offers a holistic examination of crowdsourced geospatial data. Employing a narrative review approach due to the interdisciplinary nature of the ...
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Apr 28, 2024 · Social sensing, using humans as sensors to collect disaster data, has emerged as a timely, cost-effective, and reliable data source.
Jan 1, 2024 · This study proposes a machine learning method to achieve footstep recognition using DAS, considering the inherent time dependency and spatial continuity.
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May 21, 2024 · This chapter provides an overview of how humans can themselves act as sensors—human sensing—for data collection by considering a variety of scenarios.
Jan 19, 2024 · The progression of technology has significantly advanced crowd- sourcing methods for geospatial data collection for weather and climate observations. These ...
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Sep 23, 2024 · The detection of people in urban environments from satellite imagery can be employed in a variety of applications, such as urban planning, business management, ...
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Mar 19, 2024 · A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
Aug 25, 2024 · SocialDISC can foster an understanding of the relationship between disruptions of infrastructures and societal impacts, expectations of the public when facing ...