Deep learning for spatio-temporal data mining: A survey

S Wang, J Cao, SY Philip - IEEE transactions on knowledge …, 2020 - ieeexplore.ieee.org
With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Explaining world‐wide variation in navigation ability from millions of people: citizen science project sea hero quest

HJ Spiers, A Coutrot… - Topics in cognitive …, 2023 - Wiley Online Library
Navigation ability varies widely across humans. Prior studies have reported that being
younger and a male has an advantage for navigation ability. However, these studies have …

Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles

W Wang, F Xia, H Nie, Z Chen, Z Gong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the widely used Internet of Things, 5G, and smart city technologies, we are able to
acquire a variety of vehicle trajectory data. These trajectory data are of great significance …

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Spatiotemporal clustering: a review

MY Ansari, A Ahmad, SS Khan, G Bhushan… - Artificial Intelligence …, 2020 - Springer
An increase in the size of data repositories of spatiotemporal data has opened up new
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …

Building a intrusion detection system for IoT environment using machine learning techniques

KS Kiran, RNK Devisetty, NP Kalyan… - Procedia Computer …, 2020 - Elsevier
The most basic feature of every smart device or endpoint device in IoT is to collect the large
amount of data that is being generated and direct it to a destination server via the Internet …

Millimeter-wave radar cane: A blind people aid with moving human recognition capabilities

E Cardillo, C Li, A Caddemi - IEEE Journal of Electromagnetics …, 2021 - ieeexplore.ieee.org
This contribution presents an electronic travel aid for blind and visually-impaired people
based on a millimeter wave radar and a traditional white-cane. It not only represents an …

Big trajectory data: A survey of applications and services

X Kong, M Li, K Ma, K Tian, M Wang, Z Ning… - IEEE access, 2018 - ieeexplore.ieee.org
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

[PDF][PDF] Movingpandas: efficient structures for movement data in python

A Graser - GIForum, 2019 - researchgate.net
Movement data analysis is a high-interest topic in many scientific domains. Even though
Python is the scripting language of choice in the GIS world, currently there is no Python …