Search Results - (( developing a shrinking algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
Implementation and integration of HF messaging system with cryptographic features
Published 2006“…For that purpose, several stream ciphers algorithms such as shrinking, multiplexing and memory generator were analyzed to determine their characteristics. …”
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3
Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…This study indicates developing an algorithm for detecting and progressing through the hippocampus of patients with Alzheimer's disease in MRI images. …”
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4
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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5
New Structural Evolving Algorithms For Fuzzy Systems
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6
Analysis of genetic data in for implementation of compression algorithm in Alzheimer's disease database
Published 2011“…Therefore, we propose an extension to [1], where we will incorporate a compression algorithm to the database. The incorporation of the compression algorithm would significantly reduce the size of the database (making future database searches faster), as well as increasing the transmission efficiency over the network. …”
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7
Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…A new subroutine function has been added in the developed algorithm with the capabilities to approximate the neutral delay term using the interpolation of function evaluation. …”
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8
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data
Published 2022“…The RMD-MRCD-PCA is developed by incorporating the Principal Component Analysis (PCA) in the MRCD algorithm whereby this robust approach shrinks the covariance matrix to make it invertible and thus, can be employed to compute the RMD for high dimensional data. …”
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Acquisition of new subscribers using analytical models in the telecommunication industry / Nik Muhammad Naim Nik Ghazali
Published 2020“…The algorithm is developed for the analytical acquisition model and the result shows that the model managed to achieve the set target mobile revenue with only a small number of subscribers. …”
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