Search Results - solution ((computing techniques) OR (((estimation technique) OR (optimization techniques))))

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  1. 1

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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    Thesis
  2. 2

    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

    Published 2024
    “…To address these challenges, this project proposes an innovative solution that leverages computer vision and machine learning techniques. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems by Tang, En Lai

    Published 2007
    “…This strategy was extended with “preference estimationtechnique to optimize the user preference level of negotiation outcome. …”
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    Thesis
  4. 4

    A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

    Published 2025
    “…This technique uses the Adaptive Moment Estimation Method (Adam) as an optimization algorithm with feed-forward deep learning to minimize the error function and training the model using five layers with different activation functions. …”
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    Article
  5. 5

    Evolutionary Programming (EP) based technique for secure point identification with load shedding technique in power transmission / Abdul Rahman Minhat by Minhat, Abdul Rahman

    Published 2008
    “…In highlighting the merit of the proposed EP based technique for maximum loadability identification, established artificial immune system (AIS) optimization technique and AVSA were utilized for comparative studies purposes. …”
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    Thesis
  6. 6

    Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

    Published 2010
    “…This thesis describes a pre-screening process to identify the bad measurements and the measurement weights before performing the WLS estimation technique employed in SE. The autoregressive (AR) techniques. …”
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    Thesis
  7. 7

    Left-handed metamaterial-inspired unit cell for S-Band glucose sensing application by Islam M.T., Hoque A., Almutairi A.F., Amin N.

    Published 2023
    “…Computer software; Glucose; Medical problems; Metamaterials; Microwave sensors; Sensors; Computer simulation technology (CST); Experimental verification; Finite integration technique; Glucose concentration; Left handed metamaterial; Parametric -analysis; Sensing characteristics; Transmission coefficients; Solution mining; glucose; water; chemistry; computer simulation; genetic procedures; human; isolation and purification; microwave radiation; procedures; software; Biosensing Techniques; Computer Simulation; Glucose; Humans; Microwaves; Software; Water…”
    Article
  8. 8

    Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

    Published 2017
    “…Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. …”
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    Thesis
  9. 9

    Current issues in ensemble methods and its applications by Engku Fadzli Hasan, Syed Abdullah, Mohd Khalid, Awang, Mokhairi, Makhtar

    Published 2015
    “…In terms of optimization techniques, multi-objectives techniques have become the better ones to use due to their efficiency in terms of optimization process and they provide a set of near optimal solution instead of just a single solution. …”
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    Article
  10. 10

    Examining the Eigenvalues Effect to the Computational Cost in Mobile Robot Simultaneous Localization and Mapping by Nur Aqilah, Othman, Hamzah, Ahmad

    Published 2016
    “…This study attempts to look for an optimal solution to decrease the computational complexity of the covariance matrix without compromising the accuracy of the state estimation through eigenvalue approach. …”
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    Article
  11. 11

    Probabilistic Multi-Tiered Grey Wolf Optimizer-Based Routing for Sustainable Sensor Networks by Bahl, Vasudha, Kumar, Anoop

    Published 2022
    “…CH was chosen grounded on the objective value that required fewer difficult control factors than existing techniques. Simulations showed that the suggested technique could extend the network’s stability time by (31.5 %) compared to hetDEEC-3, L-DDRI, Novel-LEACH-POS, DBSCDS-GWO, and P-SEP.…”
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    Article
  12. 12
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    An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker by Md. Sumon, Sarker

    Published 2011
    “…And the second algorithm is the optimization technique for indoor wireless coverage. …”
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    Thesis
  14. 14

    Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm by Ahmad, Azmi, Ali, Borhanuddin M., Khatun, Sabira, Hassan, Azmi

    Published 2005
    “…Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. …”
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    Proceeding Paper
  15. 15

    Simultaneous computation of model order and parameter estimation for ARX model based on single swarm and multi swarm simulated Kalman filter by Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Mohd Saberi, Mohamad

    Published 2017
    “…Agents interact among them to modify and enhance the solution throughout the search process. Simultaneous Model Order and Parameter Estimation (SMOPE) and Simultaneous Model Order and Parameter Estimation based on Multi Swarm (SMOPE-MS) are two techniques of implementing meta-heuristic algorithm to iteratively establish an optimal model order and parameters simultaneously for an unknown system. …”
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    Article
  16. 16

    An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem by S. W. Su, Stephanie, Kek, Sie Long

    Published 2021
    “…During the calculation procedure, the iterative solution converges to the optimal portfolio solution. …”
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    Article
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    Estimation of optimal machining control parameters using artificial bee colony by Norfadzlan, Yusup, Arezoo, Sarkheyli, Azlan, Mohd Zain, Siti Zaiton, Mohd Hashim, Norafida, Ithnin

    Published 2013
    “…It was reported by previous researches that artificial bee colony (ABC) algorithm has less computation time requirement and offered optimal solution due to its excellent global and local search capability compared to the other optimization soft computing techniques. …”
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    Article
  19. 19

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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    Thesis
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