Search Results - parallel integration ((during algorithm) OR (learning algorithm))*

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  1. 1

    Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms by Loo, C.K., Liew, W.S., Seera, M., Lim, Einly

    Published 2015
    “…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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    Article
  2. 2
  3. 3

    A study of the high-performance computing parallelism in solving complexity of meteorology data and calculations by Noor Affendi, Mohd Ridhuan, Hussin, Masnida, Hasan, Dana

    Published 2024
    “…Further issues can be studied for integrating big data analytics and machine learning into HPC computing architectures.…”
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    Article
  4. 4

    Neuro Symbolic Integration and Agent Based Modelling by Sathasivam , Saratha, Velavan, Muraly

    Published 2018
    “…Meanwhile, neural networks, known as a mathematical model of neurons in the human brain, and have various abilities, and moreover, they also provide parallel computations and therefore can perform some calculations quicker than classical learning algorithms. …”
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    Conference or Workshop Item
  5. 5

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

    Published 2017
    “…Additionally, the developed parallel SQLite-XTS system have been successfully implemented and integrated into the mobile testbed device. …”
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    Thesis
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  7. 7

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Therefore, we propose a prominent approach that integrates each of the NN, a meta-heuristic based on an evolutionary genetic algorithm (GA), and a core online-offline clustering (Core). …”
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    Thesis
  8. 8

    Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model by Megat Syahirul Amin, Megat Ali, Azlee, Zabidi, Nooritawati, Md Tahir, Ihsan, Mohd Yassin, Eskandari, Farzad, Azlinda, Saadon, Mohd Nasir, Taib, Abdul Rahim, Ridzuan

    Published 2024
    “…System Identification (SI), a methodology utilized in domains like engineering and mathematical modeling to construct or refine dynamic system models from captured data, relies significantly on the Nonlinear Auto-Regressive (NAR) model due to its reliability and capability of integrating nonlinear functions, complemented by contemporary machine learning strategies and computational algorithms to approximate complex system dynamics to address these limitations. …”
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    Article
  9. 9

    Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

    Published 2002
    “…Bounded by such information advancement frames, domains of agro-forestry and entomology, and medicine, have witnessed progression through evolution, revolution, and bioinformation in their knowledge contents. Integrated Pest Management (IPM) paradigms steered the course of agro-forest and medical-industries during the 1800 and 1900 eras. …”
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    Inaugural Lecture
  10. 10

    Super resolution imaging using modified lanr based on separable filtering by Somadina, Ike Chidiebere

    Published 2019
    “…The underlying idea is to process and reconstruct information in low and high frequency sub-bands based on separable property of neighbourhood filtering to achieve fast parallel and vectorized operation, while enhancing algorithmic performance by reducing computational burden resulting from computing the weighted function of every pixel for each pixel in an image. …”
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    Thesis
  11. 11

    An integrated priority-based cell attenuation model for dynamic cell sizing by Amphawan, Angela, Omar, Mohd Nizam, Din, Roshidi

    Published 2012
    “…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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    Article
  12. 12

    Unified GPU Technique to Boost Confidentiality, Integrity and Trim Data Loss in Big Data Transmission by Bhattacharjee, S., Rahim, L.B.A., Watada, J., Roy, A.

    Published 2020
    “…Data integrity, confidentiality and data loss are the issues that arise during transmission because of the use of an inadequate security scheme. …”
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    Article
  13. 13

    Investigating computational thinking among primary school students in Terengganu using visual programming by Osmanullrazi, Abdullah

    Published 2022
    “…The experiment was divided into three phases namely, the introduction of algorithm and Scratch interface, the creation of animation and games and in the final phase, participants were allowed to choose either to develop animation or games as their final project. …”
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    Thesis
  14. 14

    Developing a small footprint and low-cost solar charge controller by Azhar A.D., Hamid F.A., Ghazali A., Zuhdi A.W.M.

    Published 2025
    “…The solar charge controller was able to operate with the highest efficiency of 90.32% during high irradiation with the MPPT algorithm tracked successfully. ?…”
    Conference paper
  15. 15

    Computational prediction of changes in brain metabolic fluxes during Parkinson’s disease from mRNA expression by Supandi, Farahaniza, Van Beek, Johannes H.G.M.

    Published 2018
    “…To this end we apply the Least-squares with Equalities and Inequalities algorithm integrated with Flux Balance Analysis (Lsei-FBA). …”
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    Article
  16. 16

    A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam by Md Haidar, Islam

    Published 2021
    “…The differences between conventional and other modified MPPT algorithms are explained in this research work. A new coordinated PI-MPPT algorithm is then proposed based on the deficiencies of the other algorithms. …”
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    Thesis
  17. 17

    Constant lock circuit for DC micro-grid system by Mohammed, Asaad Abduljabbar

    Published 2017
    “…Three modes come into view during DC micro-grid operations. These operational scenarios are the standalone scenario, grid scenario, and feedback scenario. …”
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    Thesis
  18. 18

    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics by Ahmed, Hisham Ahmed Ali

    Published 2016
    “…A careful analysis of the algorithm and efficient utilization of Zynq resources results in highly parallelized and pipelined architecture outperforms the state-of-the-art. …”
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    Thesis
  19. 19

    WiFi-based human activity recognition through wall using deep learning by Wong, Yan Chiew, Ahmed Abuhoureyah, Fahd Saad, Mohd Isira, Ahmad Sadhiqin

    Published 2023
    “…Furthermore, a deep learning algorithm based on RNN with an LSTM algorithm is used to classify the activity instances indoors, achieving up to 97.5% accuracy in classifying seven activities. …”
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    Article