This paper presents an approach to planning under uncertainty in resource-constrained environments. We describe our novel method for online plan modification and execution monitoring, which augments existing with pre-computed fragments response observed resource availability. Our merging algorithm uses causal structure interleave actions, creating solutions using observations of the true state ...

• A LR face recognition model for resource-constrained environments is proposed. Our lightweight and capable of being effectively trained on small data. adopts PixelHop++ which designed based the SSL principle. Active learning incorporated to minimize required labeled training We show competitive performance our compared with state-of-the-art. Although Deep Neural Networks (DNNs) have achieved ...

Resource constrained project scheduling problem (RCPSP) is mainly investigated with the objective of either minimizing project makespan or maximizing project net present value. However, when material planning plays a key role in a project, the existing models cannot help determining material ordering plans to minimize material costs. In this paper, the RCPSP incorporated with the material order...

The aim of a multi-mode resource-constrained project scheduling problem (MRCPSP) is to assign resource(s) with the restricted capacity to an execution mode of activities by considering relationship constraints, to achieve pre-determined objective(s). These goals vary with managers or decision makers of any organization who should determine suitable objective(s) considering organization strategi...