Results 11 to 20 of about 1,193,865 (259)
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2022 Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While previous work has made great efforts to model spatio-temporal correlations, existing methods still suffer from two key
Jiahao Ji +7 more
semanticscholar +1 more source
Road traffic accidental injuries and deaths: A neglected global health issue
Health Science Reports, 2023 Across the world, traffic accidents cause major health problems and are of concern to health institutions; nearly 1.35 million people are killed or disabled in traffic accidents every year.
Sirwan Khalid Ahmed +7 more
semanticscholar +1 more source
Journal of Cell Science, 2006 Cell adhesion, migration and the maintenance of cell polarity are all processes that depend on the correct targeting of integrins and the dynamic remodelling of integrin-containing adhesion sites. The importance of the endo/exocytic cycle of integrins as a key regulator of these functions is increasingly recognized.
Ivaska, Johanna, Pellinen, Teijo
openaire +2 more sources
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization
International Conference on Information Systems Security and Privacy, 2018 : With exponential growth in the size of computer networks and developed applications, the significant in-creasing of the potential damage that can be caused by launching attacks is becoming obvious.
Iman Sharafaldin +2 more
semanticscholar +1 more source
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
AAAI Conference on Artificial Intelligence, 2019 Forecasting the traffic flows is a critical issue for researchers and practitioners in the field of transportation. However, it is very challenging since the traffic flows usually show high nonlinearities and complex patterns.
S. Guo +4 more
semanticscholar +1 more source
Statistical Science, 2007 Published in at http://dx.doi.org/10.1214/07-STS238 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Bickel, Peter J. +5 more
openaire +4 more sources
National Highway Traffic Safety Administration
Federal Regulatory Guide, 2020 This paper presents the results of a study on crash conditions and occupant characteristics in side impacts to support the development of advanced side impact test procedures.
S. Daniel
semanticscholar +1 more source
Spatial As Deep: Spatial CNN for Traffic Scene Understanding [PDF]
AAAI Conference on Artificial Intelligence, 2017 Convolutional neural networks (CNNs) are usually built by stacking convolutional operations layer-by-layer. Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across ...
Xingang Pan +4 more
semanticscholar +1 more source
, 2003 Quality of service in network communication is mainly assured by traffic management consisting in a variety of protocols and mechanisms whose role is to prevent the network from being congested. Traffic management has been a very active area of research for two decades following the conception of packet-switched integrated services networks, such as ...
KARLSSON G +21 more
openaire +5 more sources
Traffic Forecasting on Traffic Moving Snippets
, 2021 arXiv
Wiedemann, Nina, Raubal, Martin
openaire +2 more sources