Search Results - (( model validation bee algorithm ) OR ( based reconstruction _ algorithm ))

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  1. 1

    Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction by Jinmei Shi, Yu-Beng Leau, Kun Li, Huandong Chen

    Published 2021
    “…A Scalable Artificial Bee Colony (SABC) algorithm which has fewer adjustable parameters and can thus guarantee the accuracy and stability of the prediction mechanism is also proposed. …”
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    Article
  2. 2

    Bee colony optimisation of the travelling salesman problem in light rail systems by Wang, Chen, Leong, Kah Huo, Abdul-Rahman, Hamzah

    Published 2019
    “…The study reported in this paper aimed to identify the most efficient algorithm and develop a mathematical model based on artificial bee colony optimisation to solve this problem in light rail transit systems. …”
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    Article
  3. 3

    LSSVM parameters tuning with enhanced artificial bee colony by Mustaffa, Zuriani, Yusof, Yuhanis

    Published 2014
    “…The proposed model was employed in predicting financial time series data and comparison is made against the standard Artificial Bee Colony (ABC) and Cross Validation (CV) technique.The simulation results assured the accuracy of parameter selection, thus proved the validity in improving the prediction accuracy with acceptable computational time.…”
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  4. 4

    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
  5. 5

    A novel hybrid binary reconstruction algorithm for ultrasonic tomography by Abdul Rahim, R., Fazalul Rahiman, M. H.

    Published 2008
    “…This paper presents a novel image reconstruction algorithm namely the Hybrid Binary Reconstruction Algorithm (HBRA). …”
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    Article
  6. 6

    Ultrasonic tomography - image reconstruction algorithms by Rahiman, Mohd Hafiz Fazalul, Abdul Rahim, Ruzairi, Abdul Rahim, Herlina, Mohd Muji, Siti Zarina, Mohamad, Elmy Johana

    Published 2012
    “…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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    Article
  7. 7

    Ultrasonic tomography – image reconstruction algorithms by Rahiman, Mohd Hafiz Fazalul, Abdul Rahim, Ruzairi, Abdul Rahim, Herlina, Mohd Muji, Siti Zarina, Mohamad, Elmy Johana

    Published 2012
    “…This paper focuses on image reconstruction algorithms for use in ultrasonic tomography. …”
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    Article
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    Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months by Suarin, Nur Aisyah Syafinaz, Chia, Kim Seng, Mohamad Fuzi, Siti Fatimah Zaharah

    Published 2024
    “…Thus, this study aims to evaluate the feasibility of homogenous transfer learning approaches to overcome data constraints in developing NIRS predictive models of stingless bee honey qualities across different months. …”
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    Article
  11. 11

    Development of intelligent 3D solid modeler based on artificial intelligent technique by Mohd. Zain, Azlan, Talib, Mohamad Shukor, Harun, Habibollah, Matondang, Muhammad Zaini, Mardzuki, Samihah

    Published 2008
    “…The framework consists of neural network models for the reconstruction and the hybrid computing algorithm as representation scheme of the reconstructed solid. …”
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    Monograph
  12. 12

    Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction by Mohd Nadzri,, Muhammad Muzakkir, Ahmad, Afandi, Tukiran, Zarina

    Published 2020
    “…There are several CS reconstruction approaches, and orthogonal matching pursuit (OMP) is one of the best and popular algorithms implemented. …”
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    Conference or Workshop Item
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    3D character reconstruction from 2D orthogonal images by Kok, Yung Thow

    Published 2025
    “…The project objectives are to: (1) review the existing state-of-arts for solving 3D generation and reconstruction, (2) design an algorithm capable of reconstructing primitive shapes of 3D characters from four orthogonal images, optimized for limited computational resources. …”
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    Final Year Project / Dissertation / Thesis
  15. 15

    Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering by Nagajyothi, D.

    Published 2004
    “…Using an Adaptive Network based Fuzzy Inference System (ANFIS), the model reconstruction algorithm is designed. …”
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    Book Section
  16. 16

    Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT by Chen, Ew-Jun *, Haniff Shazwan, Safwan Selvam, Lee, Hee Siang, Chew, Ming Tsuey *

    Published 2023
    “…Ordered Subset Expectation Maximisation (OSEM) is a widely used statistical iterative reconstruction algorithm in PET-CT due to its dependability, reconstruction quality and adequate signal-to-noise ratio. …”
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    Article
  17. 17

    Towards a unified image quality assessment technique for cross-content image processing applications by Baqar, Mohtashim *

    Published 2024
    “…Subsequently, the HaarPSI-based reconstruction approach improved accuracy from 2% to 84% compared to AS algorithms at both low and high distortion levels. …”
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    Thesis
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    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

    Published 2007
    “…A noise model has been developed to test the reliability of the proposed algorithm. The model was developed based on several predefined criteria. …”
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    Thesis