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title: Lecture Notes in Networks and Systems
Common, Correlated, and Private Information in Control of Decentralized Systems
Control and filtering of decentralized systems can benefit from a decomposition of the available observations
...Emergency Vehicle Detection in Traffic Surveillance Using Region-Based Convolutional Neural Networks
Emergency vehicles such as ambulances and fire engines get stuck in a heavy traffic may lead to the loss of
...Remote Planning and Operation of a UGV Through ROS and Commercial Mobile Networks
Recent advances in disaster robotics have improved perceptual intelligence and maneuverability of unmanned ground
...Communication Constraints in Control and Observation of Distributed Systems
Finding Camera Overlap in Large Surveillance Networks
A Framework to Evaluate 5G Networks for Smart and Fail-Safe Communications in ERTMS/ETCS
ICDMS: An Intelligent Cloud Based Disaster Management System for Vehicular Networks
Effective and Efficient Security Policy Engines for Automotive On-Board Networks
Reliability Analysis of ZigBee Based Intra-Vehicle Wireless Sensor Networks
Proceedings of the 2nd International Workshop on Advances in Civil Aviation Systems Development
Layered Backpressure Scheduling for Delay-Aware Routing in Ad Hoc Networks
Using dynamic multi-path routing in ad hoc networks, backpressure [8] joint scheduling and routing
...
Comparative Study of Shortest Distance Calculation Techniques in IoT-Based Wireless Sensor Networks
Traffic Data Collection and Visualization Using Intelligent Transport Systems
Traffic conditions nowadays are in a grim situation caused by daily congestion and accidents. Thus, traffic state
...Artificial Neural Networks for Structural Systems Identification
Crossroads Optimal Geographic Routing for Vehicular Ad Hoc Networks in City Scenario
Toward Designing Efficient Service Discovery Protocol in Vehicular Networks
A Novel Routing Protocol Based on Mobile Social Networks and Internet of Vehicles
Vehicles Congestion Control in Transport Networks Using an Adaptive Weight Model