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  1. 1
    Voting algorithms for large scale fault-tolerant systems

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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  2. 2
    Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture

    Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture by Chang, Boon Chiao

    Published 2018
    “…Both radix-2 and radix-4 FNT modules are implemented and a further design of radix-4 FNT module, named radix-4 CTFNT module that is optimized to fit the multiplication algorithm we used is proposed. …”
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    Final Year Project / Dissertation / Thesis
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  3. 3
    Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak

    Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak by Abd Razak, Nurul Farhana

    Published 2010
    “…The scope of study is by using the matrix filling method which is in parallel implementation of the SmithWaterman algorithm. …”
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    Student Project
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  4. 4
    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery

    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery by Shing, Chiang Ta, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Sim, Seera, Manjeevan, Chee, Peng Lim

    Published 2023
    “…Deep learning has recently emerged as effective methods for machine FDD applications. However, the gradient descent optimization method that is commonly used in deep learning suffers from several limitations, such as high computational cost and local sub-optimal solutions. …”
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  5. 5
    Predictive modeling of condominium prices using a Particle Swarm Optimization-Random Forest approach / Che Wan Sufia Che Wan Samsudin

    Predictive modeling of condominium prices using a Particle Swarm Optimization-Random Forest approach / Che Wan Sufia Che Wan Samsudin by Che Wan Samsudin, Che Wan Sufia

    Published 2025
    “…Essential phases of the project include data collection, data preprocessing, and the implementation of the Particle Swarm Optimization-Random Forest price prediction algorithm. …”
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  6. 6
    Cryptographic protection of block-oriented storage devices using AES-XTS in FPGA

    Cryptographic protection of block-oriented storage devices using AES-XTS in FPGA by Ahmed, Shakil

    Published 2013
    “…In order to implement the designs Xilinx ISE webpack software was used, a well known FPGA simulator. …”
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  7. 7
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  8. 8
    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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  9. 9
    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem

    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

    Published 2004
    “…To process the data collected from British Atmospheric Data Centre (BADC), the sequential programs in row and columnwise fashions are developed and implemented. Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
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  10. 10
    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe

    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe by Yakub Kayode, Saheed, Kazeem Alagbe, Gbolagade

    Published 2017
    “…Java programming language is used to implement the algorithm. Experimental results indicate that as the thread level increases, the encryption and decryption time, which is the most time consuming operation, decreases which shows an improved speed of the RSA cryptosystem.The proposed implementation has a great potential to effectively deal with the RSA algorithm slow speed.…”
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  11. 11
    The AGEB algorithm for solving the heat equation in three space dimensions and its parallelization using PVM

    The AGEB algorithm for solving the heat equation in three space dimensions and its parallelization using PVM by Sahimi M.S., Alias N., Sundararajan E.

    Published 2023
    “…It is inherently explicit and is therefore well suited for parallel implementation on the PVM where data decomposition is run asynchronously and concurrently at every time level. …”
    Conference Paper
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  12. 12
    The AGEB Algorithm for Solving the Heat Equation in Three Space Dimensions and Its Parallelization Using PVM

    The AGEB Algorithm for Solving the Heat Equation in Three Space Dimensions and Its Parallelization Using PVM by Sahimi, Mohd Salleh, Alias, Norma, Sundararajan, Elankovan

    Published 2001
    “…It is inherently explicit and is therefore well suited for parallel implementation on the PVM where data decomposition is run asynchronously and concurrently at every time level. …”
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  13. 13
    Parallel and Separable Recursive Levenberg- Marquardt Training Algorithm

    Parallel and Separable Recursive Levenberg- Marquardt Training Algorithm by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George

    Published 2002
    “…By neglecting interneuron weight correlations the recently proposed RLM training algorithm can be decomposed at neuron level enabling weights to be updated in an efficient parallel manner. …”
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  14. 14
    The AGEB Algorithm for Solving the Heat Equation in Three Dimensions and Its Parallelization Using PVM

    The AGEB Algorithm for Solving the Heat Equation in Three Dimensions and Its Parallelization Using PVM by Sahimi, Mohd Salleh, Alias, Norma, Sundarajan, Elankovan

    Published 2001
    “…It is inherently explicit and is therefore well suited for parallel implementation on the PVM where data decomposition is run asynchronously and concurrently at every time level. …”
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  15. 15
    An embedded database design and implementation of a parallel IEEE XTS storage encryption for mobile devices

    An embedded database design and implementation of a parallel IEEE XTS storage encryption for mobile devices by Alomari, Mohammad Ahmed Mohammad

    Published 2017
    “…To ensure higher security level, the developed system is implemented using the NIST-certified XTS-AES block encryption algorithm. …”
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  16. 16
    Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt

    Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Akhtar, M.N., Ahmed, W., Kakar, M.R., Bakar, E.A., Othman, A.R., Bueno, M.

    Published 2020
    “…The results showed that the PKIP algorithm decreases the execution time up to 30 to 46 if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. …”
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  17. 17
    Parallel strategies on a distributed parallel computer system

    Parallel strategies on a distributed parallel computer system by Alias, Norma

    Published 2004
    “…The development of a few strategies parallel is being as a mechanism for IADE to make it implemented in parallel. …”
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    Monograph
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  18. 18
    Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance.

    Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance. by Mohammad Alkhatib, Jaafar, Azmi, Md Said, Mohamad Rushdan, Ahmad Zukarnain, Zuriati

    Published 2012
    “…The best performance level was achieved when parallelizing Montgomery ECC computations to eight parallel multipliers (PM) using homogeneous coordinates. …”
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    Conference or Workshop Item
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  19. 19
    Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance.

    Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance. by Alkhatib, Mohammad, Jaafar, Azmi, Md Said, Mohamad Rushdan, Ahmad Zulkarnain, Zuriati

    Published 2013
    “…The best performance level was achieved when parallelizing Montgomery ECC computations to eight parallel multipliers (PM) using homogeneous coordinates. …”
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  20. 20
    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul

    Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

    Published 2006
    “…At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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