Results 261 to 270 of about 3,288,100 (328)

Reinforcement learning for dynamic speed control in connected and autonomous vehicles: A review of applications and challenges. [PDF]

iScience
Alhmiedat T, Albelwi S, Alotaibi M, Mustafa M, Alquier F, Gochoo M, Alnajjar F.   +6 more
europepmc   +1 more source

When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation. [PDF]

Sci Rep
Keleşoğlu N, Sobczak Ł, Domańska J.
europepmc   +1 more source

Deep learning-based HTTP TRACE flood detection in wireless sensor network using deep spectral multi-layer convolutional neural network. [PDF]

Sci Rep
Tamilselvi S, Shieh CS, Horng MF, Shanker NR.   +3 more
europepmc   +1 more source

Traffic Engineering and Traffic Safety [PDF]

, 1966
openaire  

Resilient distributed model-free adaptive traffic signal control via controller dynamic linearization under DoS attacks. [PDF]

PLoS One
Ren Y, Sun H, Lei T, Ji H, Liu S, Wang L.   +5 more
europepmc   +1 more source

EdgeGuard-AI: Zero-Trust and Load-Aware Federated Scheduling for Secure and Low-Latency IoT Edge Networks. [PDF]

Sensors (Basel)
Alanazi AG, Alanazi HA.
europepmc   +1 more source

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Rab GTPases as coordinators of vesicle traffic

Nature Reviews Molecular Cell Biology, 2009
Harald A Stenmark
exaly   +2 more sources

Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

International Conference on Information and Knowledge Management, 2023
With the rapid development of the Intelligent Transportation System (ITS), accurate traffic forecasting has emerged as a critical challenge. The key bottleneck lies in capturing the intricate spatio-temporal traffic patterns.
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song   +6 more
semanticscholar   +1 more source

Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2023
Traffic analysis is the process of monitoring network activities, discovering specific patterns, and gleaning valuable information from network traffic. It can be applied in various fields such as network assert probing and anomaly detection.
Meng Shen, Liehuang Zhu, Jiawen Kang
exaly   +2 more sources

Microscopic Traffic Simulation using SUMO

International Conference on Intelligent Transportation Systems, 2018
Microscopic traffic simulation is an invaluable tool for traffic research. In recent years, both the scope of research and the capabilities of the tools have been extended considerably.
Pablo Álvarez López, M. Behrisch, Laura Bieker-Walz, J. Erdmann, Y. Flötteröd, Robert Hilbrich, L. Lücken, Johannes Rummel, P. Wagner, Evamarie WieBner   +9 more
semanticscholar   +1 more source