Results 281 to 290 of about 1,615,898 (335)
Sustainable cyber-physical VANETs with AI-driven anomaly detection and energy-efficient multi-criteria routing using machine learning algorithms. [PDF]
Sci RepWong WK, Baskar S, Abubeker KM, Ng PK.
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Smart pareto-optimized genetic algorithm for energy-efficient clustering and routing in wireless sensor networks. [PDF]
Sci RepRajalakshmi M, Ponni Alias Sathya S.
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Photochemistry and homogeneous acid catalysis: A visible light route to β-amino alcohols
Beatrice Bernardoni +4 more
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Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2010
Current data collection protocols for wireless sensor networks are mostly based on quasi-static minimum-cost routing trees. We consider an alternative, highly-agile approach called backpressure routing, in which routing and forwarding decisions are made on a per-packet basis.
Scott Moeller +3 more
openaire +1 more source
Current data collection protocols for wireless sensor networks are mostly based on quasi-static minimum-cost routing trees. We consider an alternative, highly-agile approach called backpressure routing, in which routing and forwarding decisions are made on a per-packet basis.
Scott Moeller +3 more
openaire +1 more source
Stochastic Inventory Routing: Route Design with Stockouts and Route Failures
Transportation Science, 1992The stochastic inventory routing problem involves the distribution of a commodity such as heating oil over a long period of time to a large set of customers. The customers maintain a local inventory of the commodity which they consume at a daily rate.
Trudeau, Pierre, Dror, Moshe
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Applied Cognitive Psychology, 2013
SummaryLandmarks are basic ingredients in route descriptions. They often mark choice points: locations where travellers choose from different options how to continue the route. This study focuses on one of the loose ends in the taxonomy of landmarks. In a memory‐based production experiment in which respondents described routes they had seen on a map ...
Westerbeek, Hans, Maes, Alfons
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SummaryLandmarks are basic ingredients in route descriptions. They often mark choice points: locations where travellers choose from different options how to continue the route. This study focuses on one of the loose ends in the taxonomy of landmarks. In a memory‐based production experiment in which respondents described routes they had seen on a map ...
Westerbeek, Hans, Maes, Alfons
openaire +2 more sources
SkipNet: Learning Dynamic Routing in Convolutional Networks
European Conference on Computer Vision, 2017While deeper convolutional networks are needed to achieve maximum accuracy in visual perception tasks, for many inputs shallower networks are sufficient. We exploit this observation by learning to skip convolutional layers on a per-input basis.
Xin Wang +3 more
semanticscholar +1 more source