Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Crime, inequality and public health: A survey of emerging trends in urban data science
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …
and increasing urbanization posing new challenges in sustainable urban development well …
Scikit-mobility: A Python library for the analysis, generation, and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility datasets, such as tracks
generated by GPS devices, call detail records, and geo-tagged posts from social media …
generated by GPS devices, call detail records, and geo-tagged posts from social media …
Modelling taxi drivers' behaviour for the next destination prediction
In this paper, we study how to model taxi drivers' behavior and geographical information for
an interesting and challenging task: the next destination prediction in a taxi journey …
an interesting and challenging task: the next destination prediction in a taxi journey …
Federated representation learning with data heterogeneity for human mobility prediction
The advancement of smart wearable devices and location-based smart services has
enabled a new paradigm for smart human mobility prediction (HMP), which has a broad …
enabled a new paradigm for smart human mobility prediction (HMP), which has a broad …
[HTML][HTML] Spatiotemporal patterns of human mobility and its association with land use types during COVID-19 in New York City
The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society.
One of the non-pharmacological measures to contain the COVID-19 infection is social …
One of the non-pharmacological measures to contain the COVID-19 infection is social …
Using autoencoders to automatically extract mobility features for predicting depressive states
Recent studies have shown the potential of exploiting GPS data for passively inferring
people's mental health conditions. However, feature extraction for characterizing human …
people's mental health conditions. However, feature extraction for characterizing human …
Influenza-like symptom recognition using mobile sensing and graph neural networks
Early detection of influenza-like symptoms can prevent widespread flu viruses and enable
timely treatments, particularly in the post-pandemic era. Mobile sensing leverages an …
timely treatments, particularly in the post-pandemic era. Mobile sensing leverages an …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
[HTML][HTML] Mobility and dissemination of COVID-19 in Portugal: correlations and estimates from Google's mobility data
The spread of the coronavirus disease 2019 (COVID-19) has important links with population
mobility. Social interaction is a known determinant of human-to-human transmission of …
mobility. Social interaction is a known determinant of human-to-human transmission of …