Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …

Fog computing is a new computational paradigm that emerged from the need to reduce
network usage and latency in the Internet of Things (IoT). Fog can be considered as a …

Today, cloud computing is an emerging paradigm in computing providing computing
resources to users as a type of service. Scheduling refers to the mapping of tasks and jobs to …

The rapid advancement of the artificial intelligence revolution during the past decade has
significantly affected vehicular ad hoc networks (VANETs). Several applications have been …

Benefiting from cloud computing's elasticity, scalability, and pay-per-use model, more and
more scientific applications are deployed in or migrated to the cloud. Workflow scheduling …

However, traditional ways to find solutions are not enough when problems are very serious.
Hence, turning to nature may be the answer to find solutions for these problems. Artificial …

An optimum HRES size and performance using upgraded optimization technique is
proposed in this paper. The upgraded optimization technique is the joint execution of moth …

The thesis defense timetabling problem is a fascinating and original NP-hard optimization
problem. The problem involves assigning the participants to defense sessions, composing …

Timely completion of a study program is crucial for evaluating the quality of universities. To
achieve timely completion, student's progress needs to be monitored early in order to ensure …

Medicinal plants contain medicinal properties in their all-plant parts. There is human vision
error for medicinalleaves with lookalike leaves, hence, computer vision is required. We …