… a resource allocation strategy for dynamic training and inference of machine learning tasks
… trade-off between energy, delay and learning accuracy. The scenario of interest is composed …

… strategy in vehicular networks using machine learning. Therefore, a thorough understanding
of how machine learning algorithms are utilized to offer a dynamic resource allocation in …

… In this paper, resource allocation and workload distribution for a Canadian healthcare
solution company is presented. The healthcare solution provider has a centralized authority …

… , patient scheduling, and resource allocation in the hospital … resource allocation decisions
based on machine learning (ML… predictions for allocating scarce hospital resources. DRGs are …

… resource allocation mechanism must be employed to efficiently and dynamically allocate …
To this end, in this research, we propose an intelligent resource allocation mechanism …

… In this work, we presented a hybrid machine learning algorithm that schedules tasks and
efficiently allocates resources in cloud environments. We utilized improved feline multitude …

… through a case study on designing organ transplant allocation policies. We develop a novel
analytical tool, based on machine learning and optimization, designed to facilitate efficient …

… resource allocations in projects based on machine learning. The model learns about the
allocation … or quality) in the definition of the resource allocation strategy; (2) uses the historical …

… resource management in these networks. Then, we provide a comprehensive survey of the
existing ML- and DL-based resource allocation … DL for resource allocation and management …

… Thus, we propose a machine learning-based method to assess the reliability of NFV
resources … In addition to MDP, we apply machine learning algorithms to predict future resource …