25 Result(s)
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Retraction Note: Grid quorum-based spatial coverage for IoT smart agriculture monitoring using enhanced multi-verse optimizer
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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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Retraction Note: An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems
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Open AccessCNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
Chest diseases, especially COVID-19, have quickly spread throughout the world and caused many deaths. Finding a rapid and accurate diagnostic tool was indispensable to combating these diseases. Therefore, scie...
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Spider wasp optimizer: a novel meta-heuristic optimization algorithm
This work presents a new nature-inspired meta-heuristic algorithm named spider wasp optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating behaviors of the female spider w...
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Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
Numerous optimization problems can be addressed using metaheuristics instead of deterministic and heuristic approaches. This study proposes a novel population-based metaheuristic algorithm called the Exponenti...
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A new fusion of whale optimizer algorithm with Kapur’s entropy for multi-threshold image segmentation: analysis and validations
The separation of an object from other objects or the background by selecting the optimal threshold values remains a challenge in the field of image segmentation. Threshold segmentation is one of the most popu...
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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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Hybrid marine predators algorithm for image segmentation: analysis and validations
Naturally, to analyze an image accurately, all the similar objects within it should be separated to pay attention to the most important object for reaching more details and hence achieving better accuracy. The...
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A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems
Image segmentation is considered a crucial step required for image analysis and research. Many techniques have been proposed to resolve the existing problems and improve the quality of research, such as region...
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Article
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
The significant growth of modern technology and smart systems has left a massive production of big data. Not only are the dimensional problems that face the big data, but there are also other emerging problems...
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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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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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RETRACTED ARTICLE: Grid quorum-based spatial coverage for IoT smart agriculture monitoring using enhanced multi-verse optimizer
Wireless sensor networks (WSN) are the backbone in various modern Internet of Things (IoT) smart applications ranging from automated control, surveillance, forest fire detection, etc. One of the most important...
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Resource levelling problem in construction projects under neutrosophic environment
Planning and managing resources is one of the most important topics in project management science. Resource leveling is used for improving work efficiency and minimizing cost throughout the life of the project...
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Flower pollination algorithm: a comprehensive review
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its metaphor from flowers proliferation role in plants. This paper provides a comprehensive review of all issues rela...
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Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud
In cloud computing environment, cross-cloud live migration of virtual machines (VMs) is a major concern in these days. Cloud computing provides the users with huge, versatile and on-demand access to a bulk of ...
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Solving 0–1 knapsack problem by binary flower pollination algorithm
In this paper, we propose a new binary version of the flower pollination algorithm (BFPA) for solving 0–1 knapsack problem. The standard flower pollination algorithm (FPA) is used for the continuous optimizati...
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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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A novel method for solving the fully neutrosophic linear programming problems
The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the ne...
