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 …
[HTML][HTML] Data harmonization for heterogeneous datasets: a systematic literature review
As data size increases drastically, its variety also increases. Investigating such
heterogeneous data is one of the most challenging tasks in information management and …
heterogeneous data is one of the most challenging tasks in information management and …
[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 …
Geographically and temporally weighted co-location quotient: an analysis of spatiotemporal crime patterns in greater Manchester
Incident data, a form of big data frequently used in urban studies, are characterized by point
features with high spatial and temporal resolution and categorical values. In contrast to …
features with high spatial and temporal resolution and categorical values. In contrast to …
[HTML][HTML] A deep learning streaming methodology for trajectory classification
Due to the vast amount of available tracking sensors in recent years, high-frequency and
high-volume streams of data are generated every day. The maritime domain is no different …
high-volume streams of data are generated every day. The maritime domain is no different …
A computer vision approach for trajectory classification
Nowadays, the increasing number of moving objects tracking sensors, results in the
continuous flow of high-frequency and high-volume data streams. This phenomenon can …
continuous flow of high-frequency and high-volume data streams. This phenomenon can …
Modeling and characterization of traffic flow patterns and identification of airspace density for UTM application
AA Alharbi, I Petrunin, D Panagiotakopoulos - IEEE Access, 2022 - ieeexplore.ieee.org
Current airspace has limited resources, and the widespread use of unmanned aerial
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
[HTML][HTML] GPS data mining at signalized intersections for congestion charging
W Yu, Z Dongbo, Z Yu - Computational Economics, 2022 - Springer
Nowadays more private car trips have caused worse congestion due to the Covid-19
pandemic in many cities. Congestion charging is one of the taxes that is levied on vehicle …
pandemic in many cities. Congestion charging is one of the taxes that is levied on vehicle …
[HTML][HTML] Application of the data mining algorithm in the clinical guide medical records
XY Liu, JH Li, YH Wang, L Weihan… - World Journal of …, 2022 - journals.lww.com
Objective: This study analyzed the data of the medical cases in the book,“Clinical Guide
Medical records” using a data mining method, to provide a reference for Ye Tianshi's …
Medical records” using a data mining method, to provide a reference for Ye Tianshi's …
[HTML][HTML] Releasing differentially private trajectories with optimized data utility
B Li, H Zhu, M Xie - Applied Sciences, 2022 - mdpi.com
The ubiquity of GPS-enabled devices has resulted in an abundance of data about individual
trajectories. Releasing trajectories enables a range of data analysis tasks, such as urban …
trajectories. Releasing trajectories enables a range of data analysis tasks, such as urban …