… articles to identify the degree, scope and purposes of machine learning (ML) adoption in
the core functions of human resource management (HRM). Design/methodology/approach – A …

… - and DL-based resource management mechanisms in cellular wireless … resource management
in cellular IoT and low-power IoT networks, review the traditional resource management …

… , resource optimisation, and energy optimisation, among others. This paper provides a detailed
review of machine learning-based resource management … , and machine learning use in …

… job scheduling and multi-resource scheduling. Machine learning techniques are extensively
… projects that leveraged machine learning techniques for resource management solutions in …

… of contexts to tackle resource allocation, scheduling, load … machine learning’’ sidebar). In
this article, we advocate dynamic multicore resource management based on machine learning …

… management that sliced into five different isolated categories with miscellaneous resource
management necessities where we present table 1 showing major resource management …

… resource management from two directions: optimizations for energy-efficient resource
management, and machine learning … topic in this work: how machine learning has been used by …

… resource management scheme for cloud computing proposed in this work. An application
service resource … to record the overall utilization of system resources. Furthermore, a physical …

… Abstract—Machine learning inference … resource management in heterogeneous multi-core
systems and show how they can be applied to optimise the performance of machine learning …

… , and recently in runtime resource management [8]. They … run-time resource management
creates unique challenges … machine learning to support run-time resource management. • …