A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) حسب Wehbe, Gioia Wahib

"…Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…The main idea of applying OLB and LF is to improve the traditional AOA exploration and exploitation trends in order to find the best clusters. To evaluate the AAOA, we implemented extensive experiments using twenty-three well-known benchmark functions and eight data clustering datasets. …"

Social spider optimization algorithm: survey and new applications حسب Abualigah, Laith

"…This algorithm has been developed over time, resulting in many versions besides theories and findings. …"
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A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality حسب KARAM, ZAINAB HAMDAN

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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …"
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Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Improved search-tree algorithms for the cluster edit problem. (c2011) حسب Ghrayeb, Ali Kassem

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Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) حسب Zeitunlian, Arda

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Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

"…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …"
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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"

Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

"…An efficient optimization method is needed to address complicated problems and find optimal solutions. The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to deal with Feature Selection (FS) problems. FS is an important data reduction step in data mining which finds the most representative features from the entire data. …"

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"

Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. …"
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On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)