A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
Time series are the primary data type used to record dynamic system measurements and
generated in great volume by both physical sensors and online processes (virtual sensors) …
generated in great volume by both physical sensors and online processes (virtual sensors) …
Foundation models for time series analysis: A tutorial and survey
Time series analysis stands as a focal point within the data mining community, serving as a
cornerstone for extracting valuable insights crucial to a myriad of real-world applications …
cornerstone for extracting valuable insights crucial to a myriad of real-world applications …
Transportation 5.0: The DAO to safe, secure, and sustainable intelligent transportation systems
In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee
on Transportation 5.0 with the mission of promoting and transforming the deployment of …
on Transportation 5.0 with the mission of promoting and transforming the deployment of …
Large models for time series and spatio-temporal data: A survey and outlook
Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …
applications. They capture dynamic system measurements and are produced in vast …
Towards graph foundation models: A survey and beyond
Foundation models have emerged as critical components in a variety of artificial intelligence
applications, and showcase significant success in natural language processing and several …
applications, and showcase significant success in natural language processing and several …
Unist: A prompt-empowered universal model for urban spatio-temporal prediction
Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic
management, resource optimization, and emergence response. Despite remarkable …
management, resource optimization, and emergence response. Despite remarkable …
Large language models for mobility in transportation systems: A survey on forecasting tasks
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …
Forecasting traffic information offers a viable solution to address the conflict between …
Mobility 5.0: Smart logistics and transportation services in cyber-physical-social systems
The logistics and transportation industry has made significant progress in improving
sustainability, efficiency, and accessibility, primarily due to the continuous development of …
sustainability, efficiency, and accessibility, primarily due to the continuous development of …
Urban foundation models: A survey
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
Towards urban general intelligence: A review and outlook of urban foundation models
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …