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Found 8 papers, 1 papers with code
Estimating Sunlight Using GNSS Signal Strength from Smartphone
This paper proposes a method to detect sunny and shady places by using an off-the-shelf mobile device.
GEO-BLEU: Similarity Measure for Geospatial Sequences
In recent geospatial research, the importance of modeling large-scale human mobility data and predicting trajectories is rising, in parallel with progress in text generation using large-scale corpora in natural language processing.
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
Based on this idea, a series of methods have been proposed to address grid-based prediction for citywide crowd and traffic.
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan
Second, we extracted the location of the WSSCI via the smartphone application.
Learning Fine Grained Place Embeddings with Spatial Hierarchy from Human Mobility Trajectories
Place embeddings generated from human mobility trajectories have become a popular method to understand the functionality of places.
City2City: Translating Place Representations across Cities
Large mobility datasets collected from various sources have allowed us to observe, analyze, predict and solve a wide range of important urban challenges.
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
In this study, we publish a new aggregated human mobility dataset generated from a real-world smartphone application and build a standard benchmark for such kind of video-like urban computing with this new dataset and the existing open datasets.
Estimation of cross-lingual news similarities using text-mining methods
Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and twits have been generated on the Internet, which is written not only in English but also in other languages such as Chinese, Japanese, French and so on.
