With increasing resource constraints, optimization is necessary to make the best use of scarce resources. Given the ubiquitous connectivity and availability of information, collaborative optimization problems can be formulated by different parties to jointly optimize their operations. However, this cannot usually be done without restraint since privacy/security concerns often inhibit the comple...

Most unsupervised image anomaly localization methods suffer from overgeneralization because of the high generalization abilities convolutional neural networks, leading to unreliable predictions. To mitigate overgeneralization, this study proposes collaboratively optimize normal and abnormal feature distributions with assistance synthetic anomalies, namely collaborative discrepancy optimization ...

In the context of frequent public emergencies, emergency logistics distribution is particularly critical, and because unique advantages unmanned aerial vehicles (UAVs), model coordinated delivery UAVs gradually becoming an essential form distribution. However, omission start-up costs prevents cost UAV battery replacement sorting, assembly verification packages from being factored into total cos...