A CENTRALIZED TASK ALLOCATION ALGORITHM FOR A MULTI-ROBOT INSPECTION MISSION WITH SENSING SPECIFICATIONS



Balancing Power Grids and Maximizing Revenue: A Novel Approach to Rebate Auctions for Cloud Workload Migrations

Revenue optimization is a main consideration in auction design.While it is a Games first-order objective in most auction settings, that is not the case for rebate auctions that use monetary rewards to incentivize auction participants to perform a task, where revenue optimization is secondary to successful task completion.This paper considers the ca

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Physics-informed deep learning for incompressible laminar flows

ABSTRACT: Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics problems, whose basic concept is to embed physical laws to constrain/inform neural networks, with the need of less Industrial:Restaurant data for training a reliable model.This can be achieved by incorporating the residual of physic

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