This article aims to provide an in-depth analysis of the recent development of various control
strategies and their implementation concerning frequency and power control in automatic …

Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

With the rapid increase in the use of cloud computing systems, an efficient task scheduling
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …

When disasters happen, time is often very urgent. Case-based reasoning (CBR) is one of
the most effective approaches to support disaster emergency management. CBR takes good …

The problem of workflow scheduling on virtual machines in a cloud environment is to find the
near optimal permutation of the assignment of independent computational jobs on a set of …

Classification of imbalanced multi-class data is still so far one of the most challenging issues
in machine learning and data mining. This task becomes more serious when classes …

Semantic segmentation is an essential process in computer vision that allows users to
differentiate objects of interest from the background of an image by assigning labels to the …

Most decision tree induction algorithms are based on a greedy top-down recursive
partitioning strategy for tree growth. In this paper, we propose several methods for induction …

Recent advances in artificial intelligence (AI) and machine learning (ML) are influencing
many aspects of today's society. The success of AI is a result of the availability of large …