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  1. 1

    Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model by Mohammed Adam, Kunna Azrag

    Published 2021
    “…This development then introduces the Se-PSO algorithm in which the particles are segmented to find a local optimal solution at the beginning and later sought by the PSO algorithm. …”
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    Thesis
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  3. 3

    An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation by Alrosan, Ayat, Alomoush, Waleed, Norwawi, Norita, Alswaitti, Mohammed, Makhadmeh, Sharif Naser

    Published 2024
    “…Secondly, the proposed algorithm was applied as a hybrid with the FCM algorithm as a segmentation technique to a set of 20 volumes of real brain MRI images with 20 images for each volume. …”
    Article
  4. 4

    Dynamic Economic Dispatch For Power System by Hussein, Saif Tahseen

    Published 2016
    “…Through an appropriate utilization of the structural features of the model, a solution algorithm based on Particle Swarm Optimization is developed. …”
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    Thesis
  5. 5

    Deep learning-based item classification for retail automation by Ling, Ji Xiang

    Published 2025
    “…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
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    Final Year Project / Dissertation / Thesis
  6. 6

    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

    Published 2010
    “…The proposed AR-based algorithm divides long data record into short segments and searches for the AR coefficients that simultaneously model the data with the least means squared errors. …”
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    Thesis
  7. 7

    Efficient hardware design for palm-dorsa vein image enhancement by Jusoh@Yusoff, Suhaimi Bahisham

    Published 2018
    “…Finally, hardware design architecture of vein image enhancement algorithm has been proposed by integrating the hardware designs of resample, segmentation, median filter and thinning. …”
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    Thesis
  8. 8

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

    Published 2022
    “…In addition, it is considered that existing solutions do not provide a feature driftaware solution to the concept drift adaptable solution, which exploits the fact that many of the original features are non-relevant. …”
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    Thesis
  9. 9

    Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel by Usmani, U.A., Happonen, A., Watada, J.

    Published 2022
    “…3D clothing data models have been learned from the real clothing data, but it is difficult to predict the exact segmentation mask of a garment as it varies depending on the size. …”
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    Article
  10. 10

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…From this point the Artificial Neural Networks (ANN) based solution approach was verified for the inverse kinematics solution. …”
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    Thesis
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    Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique by Mharib, Ahmed M.

    Published 2007
    “…The model also based on the image segmentation using an automatic and adaptive multi-thresholding technique. …”
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    Thesis
  13. 13

    Model of Bayesian tangent eye shape for eye capture by Nsaef, Asama Kuder, Jaafar, Azizah, Sliman, Layth, Sulaiman, Riza, O. K. Rahmat, Rahmita Wirza

    Published 2014
    “…Besides, a Bayesian inference solution called Bayesian Tangent Eye Shape Model (BTESM) was suggested depending on estimation of tangent shape. …”
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    Conference or Workshop Item
  14. 14

    Development of optimal energy management topology for battery electric vehicle with load segmentation by Tengku Mohd, Tengku Azman

    Published 2020
    “…Four auxiliary load segments have been modelled and ranked for prioritization task via energy distribution strategy algorithm, operated within three distribution regions of battery state-of-charge (SOC). …”
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    Thesis
  15. 15

    Modeling and querying alternative paths in Kuantan by Mohamad Salleh, Mazlina

    Published 2007
    “…This study discusses the process of modeling data from map on road network information consisting of points including the starting and ending road points and intersection between other road segments. …”
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    Thesis
  16. 16

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Damaging the full-scale tower is not practical; thus, two different parts of the tower segments and their connections (1-2 and 2-3) are considered and tested experimentally with and without damage to validate the capability of the developed hybrid algorithm to detect damage. …”
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    Thesis
  17. 17

    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

    Published 2022
    “…The tri-agent reinforcement learning (TA-RL) algorithm has been used by the segment spectrum agent (SSA) in this suggested CSS to make the global decision. …”
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    Thesis
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    Green vehicle traffic routing system using ant-based algorithm by Jabbarpour, M.R., Noor, R.M., Khokhar, R.H.

    Published 2015
    “…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. This VTRS is an Ant-based Vehicle Congestion Avoidance System (AVCAS) that uses Signalized Intersection Design and Research Aid (SIDRA) fuel consumption and emission model in its vehicle routing procedure. …”
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    Article
  19. 19

    A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

    Published 2017
    “…A novel heuristic algorithm named as Headway and Order Scheme (HOS) is introduced to solve the rescheduling model. …”
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    Thesis
  20. 20

    Data stream clustering by divide and conquer approach based on vector model by Khalilian, Madjid, Mustapha, Norwati, Sulaiman, Nasir

    Published 2016
    “…The continuous effort on data stream clustering method has one common goal which is to achieve an accurate clustering algorithm. However, there are some issues that are overlooked by the previous works in proposing data stream clustering solutions; (1) clustering dataset including big segments of repetitive data, (2) monitoring clustering structure for ordinal data streams and (3) determining important parameters such as k number of exact clusters in stream of data. …”
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    Article