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Open AccessMultiobjective trajectory optimization algorithms for solving multi-UAV-assisted mobile edge computing problem
The Internet of Things (IoT) devices are not able to execute resource-intensive tasks due to their limited storage and computing power. Therefore, Mobile edge computing (MEC) technology has recently been utili...
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Article
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-Business, E-Train, E-Ambulance has been growing progressively. These applications require mobility-aware delay-sensitive se...
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Article
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
In a developed society, people have more concerned about their health. Thus, improvement of medical field application has been one of the greatest active study areas. Medical statistics show that heart disease...
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Article
2-Levels of clustering strategy to detect and locate copy-move forgery in digital images
Understanding is considered a key purpose of image forensic science in order to find out if a digital image is authenticated or not. It can be a sensitive task in case images are used as necessary proof as an ...
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Article
An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment
The consolidation of virtual machine (VM) is the strategy of efficient and intelligent use of cloud datacenters resources. One of the important subproblems of VM consolidation is VM placement problem. The main...
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Article
Arabic text clustering using improved clustering algorithms with dimensionality reduction
Arabic Text document clustering is an important aspect for providing conjectural navigation and browsing techniques by organizing massive amounts of data into a small number of defined clusters. However, Words...
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Article
Krill herd algorithm based on cuckoo search for solving engineering optimization problems
This paper presents a hybrid krill herd (CSKH) approach to solve structural optimization problems. CSKH improved the Krill herd algorithm (KH) by combining KU/KA operator originated from cuckoo search algorith...