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1
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…In addition, implementing feasible computational methods for such enormous data is by itself another challenge. …”
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2
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…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. …”
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Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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7
Localizing-ground Transmitters Using Airborne Antenna Array
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doctoralThesis -
8
Assessment of network module identification across complex diseases
Published 2019“…Predicted network modules were tested for association with complex traits and diseases using a unique collection of 180 genome-wide association studies. Our robust assessment of 75 module identification methods reveals top-performing algorithms, which recover complementary trait-associated modules. …”
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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Published 2023“…The results from extracting information from 172 relevant articles show that algorithmic customer segmentation is the predominant approach for customer segmentation. …”
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The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
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Fuzzy simulated evolution algorithm for VLSI cell placement
Published 2003“…Also, the operators of all stages of simulated evolution have been implemented using fuzzy logic to exploit the nature of fuzzy information of the problem domain. …”
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A comparative study of RSA based digital signature algorithms
Published 2006“…To test the security of the algorithms we implement attack algorithms to solve the factorization problem in Z, Z[<i>i</i>] and F[<i>x</i>]. …”
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Moreover, we also presented the challenges of metaheuristic algorithms for feature selection, and we identified gaps for further research studies.…”
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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena. …”
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
Published 2012“…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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