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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The increasing interest among researchers in the application of metaheuristic algorithms for search optimization has resulted in notable progress, especially in tackling single objective optimization problems. …”
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Review of the grey wolf optimization algorithm: variants and applications
Published 2023“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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A study on an extended Prey-Predator algorithm
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Review of the grey wolf optimization algorithm: variants and applications
Published 2024“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
Published 2022“…Among all proposed algorithms, perturb and observe (P&O) algorithm is the most popular due to its simplicity and good convergence. …”
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Thesis -
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks
Published 2009“…It is proven in this thesis that the new approach has by far achieved the best performance among all the algorithms being tested in this research …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Diverse cell interaction in dynamic cell sizing and VC-PGA cell priority selection method
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An Efficient Route Selection based on AODV Algorithm for VANET
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Direct approach for mining association rules from structured XML data
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OPTIMIZATION OF TWO FISH ENCRYPTION ALGORITHM ON FPGA
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Final Year Project -
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Performance of amidoxime-modified poly(acrylonitrile- Co-acrylic acid) for removal of boron in aqueous solution
Published 2019“…Along with the wide spread of boron application, more boron waste pollutes the water sources, and leads to a series of environment and health problems. …”
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Handwriting recognition using webcam for data entry
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Final Year Project -
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Handwriting Recognition Using Artificial Neural Network
Published 2004“…This network is trained using the Back-Propagation algorithm to identify similarities and patterns among different handwriting samples. …”
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Final Year Project
