… of machine learning (ML) adoption in the core functions of human resource management
(… emerges from multiple disciplines and uses different methods and theoretical frameworks. …

… Use Cases To discuss the importance and requirements of ML techniques in various IoT
applications, we focus on resource management in cellular IoT networks and smart home envi…

… review of machine learning applications towards energy … chine learning in this context is for
predicting future resource … to develop intelligent resource management policies which rely on …

… Hence, it is an important issue of resource management for the cloud system … resource
management scheme for cloud computing proposed in this work. An application service resource …

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

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

… Machine learning is an application of artificial intelligence (AI) that provides systems the
ability to automatically learn and improve from experience without being explicitly programmed…

… Machine learning is an entire suite of tools that cannot be ignored as the … new applications
of machine learning algorithms in wildlife biology, ecology, and natural resource management…

… been combined with Deep Learning techniques to great effect in applications such as …
approaches are especially well-suited to resource management systems. First, decisions made by …

… methods in different network scenarios of RAN resource management. In this paper, we …
-art applications of various machine learning approaches in RAN resource slicing management. …