Cloud computing is one of the most commonly used infrastructures for carrying out activities
using virtual machines known as processing units. One of the most fundamental issues with …

Cloud computing is an extremely important infrastructure used to perform tasks over
processing units. Despite its numerous benefits, a cloud platform has several challenges …

Power consumption is becoming complicated to tackle each day in the embedded systems
industry. As the demand for speed and accuracy increases, so does the power consumption …

Efficient detection of depression is a challenging scenario in the field of speech signal
processing. Since the speech signals provide a better diagnosis of depression, a significant …

Abstract Mobile Crowd Sensing (MCS) has become a new archetype allowing individuals to
effectively perform their sensing tasks by employing interested mobile users. This paradigm …

Multiprocessors have evolved as powerful computing tools for executing dynamic real time
tasks. The continual evolutions of the multiprocessor and real-time systems in the last few …

The multi-skills resource-constrained project scheduling problem (MS-RCPSP) is assigning
tasks to employees while considering predecessor tasks and multi-skills constraints to …

To reduce the influence of greenhouse effect, pollution gas emission should be considered
in economic dispatch problems. The reason is that a mass of pollution gas emission is …

Scheduling of various tasks in the multiprocessor environment has been a source of difficult
problems for researchers in the field of computer engineering. The widespread issue of …

multi-skills resource-constrained project scheduling problem (MS-RCPSP) is assigned to
employees under the predecessor tasks constraint and the multi-skills constraint in order to …