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Resource optimization is a classic problem that simulation models are used for.
Resource optimization can be performed from a higher level through the HLS tools.
Simulation results demonstrate the performance of the joint resource optimization scheme.
Additionally, autonomy, fault tolerance, and resource optimization require that mixed-criticality functions are resident on the same processors in this architecture.
To achieve fair and efficient resource optimization, our model assumes that the hybrid access mode is applied in the femtocells.
Evolutionary algorithms (EAs) have been widely used in handling various water resource optimization problems in recent years.
To this end, we present the implementation of two resource optimization schemes, one based on indirect sensor control and another on caching of IoT services.
Further, to manage the system reliability for best economic performance a resource optimization model based on multi-stage decision making (MSDM) has been proposed.
To survive in today's competitive market, children's hospitals must make informed decisions on cost reduction and resource optimization, while maintaining the highest quality of care.
Firstly, the Urban Safety system is presented as a system that allows integration of service-oriented architectures with resource optimization mechanisms for crowdsensing.
Recently, resource optimization (energy and material) and environmental issues in the life-cycle context are taken very seriously by both the general public and government agencies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com