… As artificial intelligence and machine learning … machine learning. They cover historical and
conceptual information, plus specific case studies and a taste of the future. Machine learning …

… and models for the management of bank lending that reduce … machine learning are used.
The positive results of the implementation of the proposed technology and credit management …

… systems, resulting in their inability to perform data management and … resource management
system, this paper applies machine learning technology to the human resource management …

… lead to inefficient resource management. We propose a machine learning algorithm to identify
… We develop a learning algorithm to build a model that maps these features to βi(t) for each …

… for leveraging machine learning-enabled resource classification and management through
… evaluate the performance of machine learning based resource management on real traffic. …

… resource management for a multichannel multifunction radar. We introduce how machine
learning … -bound method can be reduced using machine learning methods. A value network is …

… an optimal solution for resource management in a dynamic … these users, thus machine learning
techniques are proposed to … using machine learning to optimize resource management in …

… of machine learning and artificial intelligence are applied to assist the resource management
… In Section 3, we discuss two problems of resource management in network slicing, namely …

… Machine learning and AI are promising tools in hydrological modeling, enhancing … Integrating
machine learning and AI techniques can improve prediction, water resource management, …

… of resource management in RAN slicing. In Section V, we survey the literature of resource
management for RAN … challenges, and resource type. We then list the lessons learned from the …