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Archiving Social Media Discussions in Time and Space: A Focus on Refugees from Middle East and Related War Conflicts During Jan 2015 – Apr 2016
Current research presents an approach for archiving social media discussions in time and space. The author generated Latent Dirichlet Allocation...
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Multi-level text document similarity estimation and its application for plagiarism detection
Nowadays, rapid access to the text data on the internet, and simplicity in modifying them, made plagiarism a serious problem. Similarity detection is...
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RSTMAQI: framework for prescriptive analysis and precision factor in forecasting on air quality index
The Internet of Things (IoT) is an application domain that integrates different technological and social fields. Air pollution is one of the...
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Reinforcement Technique for Classifying Quasi and Non-quasi Attributes for Privacy Preservation and Data Protection
A quasi attribute refers to a distinct subset of unique attributes that can adequately recognize tuples in a table. Hasty distribution of the quasi...
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Adaptive archive exploitation for Gaussian estimation of distribution algorithm
The Gaussian Estimation of Distribution Algorithm (GEDA) is a fundamental evolutionary algorithm widely applied to continuous optimization problems...
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Multi-orthogonal-oppositional enhanced African vultures optimization for combined heat and power economic dispatch under uncertainty
This paper attempts to conceptualize a potent methodology by combining the African vultures optimization algorithm (AVOA) with a...
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A modified average-roulette cellular automaton algorithm for optimization tasks
The majority–minority cellular automaton algorithm (MmCAA) is a novel optimization algorithm that has demonstrated its competitiveness compared to...
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A novel adjacent matrix-based probabilistic selection mechanism for differential evolution
This paper proposes a novel selection mechanism for differential evolution (DE) termed the adjacent matrix-based probabilistic (AMP) selection...
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Improved artificial rabbits algorithm for global optimization and multi-level thresholding color image segmentation
The Artificial Rabbits Optimization Algorithm is a metaheuristic optimization algorithm proposed in 2022. This algorithm has weak local search...
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A fast-flying particle swarm optimization for resolving constrained optimization and feature selection problems
Particle Swarm Optimization (PSO) is popular because of its ease of use and few parameter tunings. Also, updating particle velocity using the global...
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A metaheuristic algorithm based on a radial basis function neural networks
Metaheuristic methods are optimization techniques generally based on natural or physical phenomena. Although these processes inspire, the underlying...
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V-shaped and S-shaped binary artificial protozoa optimizer (APO) algorithm for wrapper feature selection on biological data
This study addresses the limitation of feature selection (FS) problems in high-dimensional biomedical datasets. The high-dimensional datasets contain...
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Improved snow ablation optimization for multilevel threshold image segmentation
Snow ablation optimization (SAO) is a novel metaheuristic algorithm (MA). However, we observed certain issues in the original SAO, such as poor...
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ACGRIME: adaptive chaotic Gaussian RIME optimizer for global optimization and feature selection
Feature selection (FS) is a crucial data preprocessing technique that selects important features to enhance learning efficiency, yet it encounters...
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Aitken optimizer: an efficient optimization algorithm based on the Aitken acceleration method
While the optimization algorithm community boasts numerous members, the primary wellspring of inspiration largely stems from collective and social...
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Improved sandcat swarm optimization algorithm for solving global optimum problems
The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by Amir Seyyedabbasi et al. SCSO algorithm mimics the...
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Differential evolution using multi-strategy for the improvement of optimization performance
Differential evolution (DE) is an effective population-based optimization approach that has been widely used to deal with scientific and engineering...
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Optimizing feature selection and remote sensing classification with an enhanced machine learning method
In the era of rapidly expanding data volumes, the increasing dimensionality of features presents significant computational challenges, often...
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An Adaptive Neural Network Algorithm with Quasi Opposition-Based Learning for Numerical Optimization Problems
The structure of artificial neural networks and the biological nervous systems serve as the foundation for the creation of the neural network...
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Adaptive dimensional search-based orthogonal experimentation SSA (ADOX-SSA) for training RBF neural network and optimal feature selection
This article suggests a hybrid salp swarm algorithm (SSA), adaptive dimensional search-based orthogonal experimentation SSA (ADOX-SSA), to improve...
