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  1. 1
    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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    Thesis
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  2. 2
    Application-Programming Interface (API) for Song Recognition Systems

    Application-Programming Interface (API) for Song Recognition Systems by Murtadha Arif Sahbudin, Chakib Chaouch, Salvatore Serrano

    Published 2024
    “…In addition the implementation is done by algorithm using Java’s programming language, executed through an application developed in the Android operating system. …”
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  3. 3
    Face recognition and identification system (FaceRec) / Khew Jye Huei

    Face recognition and identification system (FaceRec) / Khew Jye Huei by Khew , Jye Huei

    Published 2004
    “…Face recognition is a technique to identify an individual by his/her physical characteristic and has been of interest to a growing number of researchers due to its applications on security. Several different algorithms have been proposed for computer recognition of human faces. …”
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  4. 4
    Mobile machine vision for railway surveillance system using deep learning algorithm

    Mobile machine vision for railway surveillance system using deep learning algorithm by Kit, Guan Lim, Daniel Siruno, Min, Keng Tan, Chung, Fan Liau, Sha, Huang, Tze, Kenneth Kin Teo

    Published 2021
    “…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
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    Proceedings
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  5. 5
    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed

    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed by Mohamed, Mohamad Zuhairy

    Published 2008
    “…In this report, it analyzes an application of repetitive control algorithm that deal with periodic disturbance.. To investigates the possibility of using a truncated finite impulse response (FIR) model approximation to implement a well-known gradient type repetitive control algorithm. …”
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  6. 6
    An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance

    An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance by Raheem, Ajiboye Adeleke

    Published 2016
    “…But sometimes, it has challenges of over-fitting, especially when fitting models from massive data of varied data points. This necessitates its enhancement in order to strengthen its performance. …”
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  7. 7
    Dynamic traffic scheduling and resource reservation algorithms for output-buffered switches

    Dynamic traffic scheduling and resource reservation algorithms for output-buffered switches by Subramaniam, Shamala

    Published 2002
    “…Scheduling algorithms implemented in Internet switches have been dominated by the best-effort and guaranteed service models. …”
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  8. 8
    Load Balancing Using The Consensus Control Algorithm For A Network Server System

    Load Balancing Using The Consensus Control Algorithm For A Network Server System by Loon, Alan Tan Chin

    Published 2016
    “…An average consensus algorithm using PID control is proposed for the implementation in a network of server nodes and the result is compared to an existing model. …”
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  9. 9
    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation

    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation by Chang, Jan Voon, Ahmad, Idawaty

    Published 2016
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  10. 10
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…However, unlike the other algorithms, NLFXLMS cannot be implemented in real time. …”
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  11. 11
    Training functional link neural network with ant lion optimizer

    Training functional link neural network with ant lion optimizer by Mohmad Hassim, Yana Mazwin, Ghazali, Rozaida

    Published 2020
    “…This paper proposed the implementation of Ant Lion Algorithm as learning algorithm to train the FLNN for classification tasks. …”
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  12. 12
    Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL

    Design and Implementation of MDS Hash Function Algorithm Using Verilog HDL by Shamsiah, Suhaili, Cleopatra Chundang, Niam, Zainah, Md. Zain, Norhuzaimin, Julai

    Published 2020
    “…Its performance in terms of frequency and throughput is compared with other MD5 implementations. …”
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  13. 13
    Computing the autopilot control algorithm using predictive functional control for unstable model

    Computing the autopilot control algorithm using predictive functional control for unstable model by H. A., Kasdirin, J. A., Rossiter

    Published 2009
    “…One basic Ballistic Missile model (10) is used as an unstable model to formulate the control law algorithm using PFC. …”
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  14. 14
    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation

    Implementation of New Improved Round Robin (NIRR) CPU scheduling algorithm using discrete event simulation by Chang, Jan Voon

    Published 2015
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  15. 15
    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)

    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

    Published 2008
    “…The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. …”
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    Proceeding Paper
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  16. 16
    Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary

    Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary by Mohd Zamary, Nurul Aida

    Published 2024
    “…The project successfully achieved its objectives by analyzing the literature, developing the decision tree algorithm, and evaluating the accuracy of the model. …”
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  17. 17
    Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin

    Hybrid bat algorithm-artificial neural network for modeling operating photovoltaic module temperature: article / Noor Rasyidah Hussin by Hussin, Noor Rasyidah

    Published 2014
    “…Bat Algorithm (BA) was hybrid based Multi-Layer Feedforward Neural Network (MLFNN) for modeling the temperature operating of photovoltaic module. …”
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  18. 18
    Design and implementation of MD5 hash function algorithm using verilog HDL

    Design and implementation of MD5 hash function algorithm using verilog HDL by Shamsiah, Suhaili, Niam, Cleopatra Chundang, Zainah, Md Zain, Norhuzaimin, Julai

    Published 2022
    “…Its performance in terms of frequency and throughput is compared with other MD5 implementations. …”
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  19. 19
    Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin

    Hybrid bat algorithm hybrid-artificial neural network for modeling operating photovoltaic module temperature / Noor Rasyidah Hussin by Hussin, Noor Rasyidah

    Published 2014
    “…Bat Algorithm (BA) was hybrid based Multi-Layer Feedforward Neural Network (MLFNN) for modeling the temperature operating of photovoltaic module. …”
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  20. 20
    An ensemble of neural network and modified grey wolf optimizer for stock prediction

    An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

    Published 2019
    “…In conclusion, the successful implementation of MGWO and ensemble model makes a valuable contribution to scientific arena.…”
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