Search Results - (( flow ((selection algorithm) OR (prediction algorithm)) ) OR ( flow encryption algorithm ))

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  1. 1

    Database encryption for a Web-based Claims System by Syed Zulkarnain Syed Idrus

    Published 2008
    “…Testing was also done on the encryption algorithms and Web browsers selected by increasing both the text length size and key length size and observed its performances. …”
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    Thesis
  2. 2

    Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption by Yeo Zi Zian

    Published 2022
    “…The selected lightweight geo-encryption algorithm will be implemented in the proposed system, vi which develops by using Java language. …”
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    Academic Exercise
  3. 3

    An improved wavelet digital watermarking software implementation by Khalifa, Othman Omran, Yusof, Yusnita

    Published 2011
    “…This includes general work flow, proposed algorithms for both original method and improved method, which were named as subband matching and selective subband matching, respectively and various attacks performed for evaluation. …”
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    Book Chapter
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    The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells by Ayoub, Mohammed Abdalla

    Published 2010
    “…The need for accurate prediction of these parameters is a key factor in clearly understanding multiphase flow in tubing. …”
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    Conference or Workshop Item
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    Immune network algorithm in monthly streamflow prediction at Johor river by Ali N.I.M., Malek M.A., Ismail A.R.

    Published 2023
    “…Immune Network Algorithm is part of the three main algorithm in AIS. …”
    Article
  8. 8

    Model predictive control of bidirectional isolated DC-DC converter for energy conversion system by Akter P., Uddin M., Mekhilef S., Tan N.M.L., Akagi H.

    Published 2023
    “…Cost functions; DC transformers; Electric load flow; Electric power factor; Energy conversion; Energy transfer; High frequency transformers; HVDC power transmission; MATLAB; Model predictive control; Power control; Predictive control systems; Reactive power; Voltage control; Bidirectional DC-DC converters; Bidirectional isolated dc-dc converter; Energy conversion systems; Full-bridge dc-dc converters; Power conversion systems; Predictive control; Predictive control algorithm; Unity power factor; DC-DC converters…”
    Article
  9. 9

    Simulation of the flow pattern around spur dykes using FLUENTS by Othman A. Karimb, K.H.M. Ali

    Published 1999
    “…The ultimate objective of this study is the prediction of flow pattern associated with spur dykes. …”
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    Article
  10. 10

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…Cuckoo search), and evaluator or model inducing algorithms (e.g SVM) were utilized for feature subset selection, which further compared to select the optimal conditioning factors subset. …”
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    Thesis
  11. 11

    The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction by Adnan R.M., Kisi O., Mostafa R.R., Ahmed A.N., El-Shafie A.

    Published 2023
    “…Balancing; Forecasting; Stream flow; Support vector machines; Exploitation and explorations; Machine learning models; Optimisations; Optimization algorithms; Prediction modelling; Simulated annealing integrated with mayfly optimization; Streamflow prediction; Support vector regression models; Support vector regressions; Support vectors machine; Simulated annealing; algorithm; mayfly; optimization; prediction; streamflow; support vector machine; Jhelum River…”
    Article
  12. 12

    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

    Published 2006
    “…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
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    Monograph
  13. 13

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…After that, it has been suggested to improve the efficiencies in the Deep Neural Network (DNN) model by combining the DNN with an unsupervised machine learning algorithm, the K-Means clustering algorithm. This study constructs the flow of DNN based method with the K-Means algorithm. …”
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    Conference or Workshop Item
  14. 14

    Model predictive control of bidirectional isolated DC–DC converter for energy conversion system by Akter, P., Uddin, M., Mekhilef, Saad, Tan, N.M.L., Akagi, H.

    Published 2015
    “…This paper proposes a model predictive algorithm to control the power flow between the high-voltage and low-voltage DC buses of a bidirectional isolated full-bridge DC-DC converter. …”
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    Article
  15. 15

    Kelantan daily water level prediction model using hybrid deep-learning algorithm for flood forecasting by Loh, Eng Chuen

    Published 2021
    “…Next, a newly developed hybrid deep learning (DL) algorithm is proposed to predict the daily water level in selected rivers that flow through Kelantan. …”
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    Thesis
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    Neural Network with Genetic Algorithm Prediction Model of Energy Consumption for Billing Integrity in Gas Pipeline by Hasbullah, Aidil Fazlina Binti

    Published 2012
    “…In this paper, several techniques will be discuss and selected including neural network prediction model, least square vector regression and combination of either two methods mentioned before with genetic algorithm as preferable technique to indicate the missing data. …”
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    Final Year Project
  18. 18

    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

    Published 2010
    “…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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    Thesis
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    Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2018
    “…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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    Thesis