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A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning
Hardware/software (HW/SW) partitioning is a vital aspect of HW/SW co-design. With the development of the design complexity in heterogeneous computing...
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Improved electrical coupling integrated energy system based on particle swarm optimization
The rational utilization of energy is an important issue for sustainable development. Electrically coupled integrated energy systems can enhance...
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Particle Swarm Optimization
Particle Swarm Optimization (PSO) [Kennedy, 2010, Kennedy and Eberhart, 1995] is an optimization algorithm designed for continuous optimization. Like...
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An Improved Parallel Particle Swarm Optimization
In the area of global optimization, a variety of techniques have been developed to find the global minimum. These techniques, in most cases, require...
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Using particle swarm optimization of fuzzy logic systems as a hybrid soft computing method to enhance solar energy prediction
Models of artificial intelligence (AI) and numerical weather prediction (NWP) have been widely used to successfully forecast solar radiation....
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Multilevel Colonoscopy Histopathology Image Segmentation Using Particle Swarm Optimization Techniques
Histopathology image segmentation is a challenging task in medical image processing. This work aims to segment lesion regions from colonoscopy...
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Particle swarm optimized deep spatio-temporal features for efficient video retrieval
In content-based video retrieval, the phases of video frame selection and 3-dimensional feature extraction are especially crucial. These stages...
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Quantum particle Swarm optimized extreme learning machine for intrusion detection
Ensuring a secure online environment hinges on the timely detection of network attacks. Nevertheless, existing detection methods often grapple with...
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Automatic lung cancer detection using hybrid particle snake swarm optimization with optimized mask RCNN
As a result of its aggressive nature and late identification at advanced stages, lung cancer is one of the leading causes of cancer-related deaths....
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Hybrid particle swarm optimization algorithm for text feature selection problems
Feature selection (FS) is a crucial preprocessing step that aims to eliminate irrelevant and redundant features, reduce the dimensionality of the...
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Picture Fuzzy Time Series Forecasting with a Novel Variant of Particle Swarm Optimization
Current research has demonstrated that fuzzy sets can be used to address forecasting issues. Researchers have created numerous fuzzy time series...
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Enhancing Safety Checking Coverage with Multi-swarm Particle Swarm Optimization
Model checking analyzes behaviors of software systems for verifying the absence of errors formally. Traditionally, such errors are detected with...
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A Combined Marine Predators and Particle Swarm Optimization for Task Offloading in Vehicular Edge Computing Network
With the rapid advancement in technology, numerous advanced vehicular applications have emerged that generate large volumes of data that need to be...
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Efficient base station deployment in specialized regions with splitting particle swarm optimization algorithm
Signal coverage quality and intensity distribution in complex environments pose a critical challenge, particularly evident in high-density personnel...
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Particle swarm optimization and fuzzy logic based clustering and routing protocol to enhance lifetime for wireless sensor networks
Efficient energy conservation to maximize the network lifetime is always the most critical challenge in wireless sensor networks due to their...
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Particle swarm optimization performance improvement using deep learning techniques
Deep learning is widely used to automate processes, improve performance, detect patterns, and solve problems. Thus, applications of deep learning are...
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Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Air pollution poses a significant threat to the health of the environment and human well-being. The air quality index (AQI) is an important measure...
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Optimal Allocation of Higher Education Resources Based on Fuzzy Particle Swarm Optimization Algorithm
Optimizing the allocation of higher education resources is a complex issue that requires consideration of various factors, such as the number of...
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Hardware implementation of particle swarm optimization with chaotic fractional-order
Engineering optimization methods based on meta-heuristic algorithms are computationally demanding and might present complex implementation issues for...
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Comprehensive testing technology for new energy vehicle power batteries based on improved particle swarm optimization
As the new energy industry continues to progress, the health management of power batteries has become the key to ensuring the performance and safety...
