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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
element » elements (Expand Search)
finding » findings (Expand Search)
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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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masterThesis -
2
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
Published 2013Get full text
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4
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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6
Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
doctoralThesis -
7
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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8
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
9
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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10
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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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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13
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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14
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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conferenceObject -
15
Efficient methods and techniques for the open-shop scheduling problem. (c2006)
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Test case generation for path coverage. (c2000)
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masterThesis -
18
Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis -
19
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
Published 2018“…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
Published 2024“…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …”
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