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  1. 1

    Handoff Scheme for Terrestrial Mobile and Satellite Convergence Networks with Incorporation of Pattern Recognition Algorithm by Kwong, Chiew Foong

    Published 2009
    “…This paper proposes a newer approach using Adaptive Network Fuzzy Inference System (ANFIS) where the training element is incorporated into the existing fuzzy handoff algorithm. …”
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    Article
  2. 2

    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam by Kh Tohidul , Islam

    Published 2017
    “…All these algorithms are tested using thousands of images. The hybrid color segmentation algorithm has eventually been chosen for this proposed system as it shows the best performance for detection of road signs. …”
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    Thesis
  3. 3

    Handoff scheme for terrestrial mobile and satellite convergence networks with incorporation of pattern recognition algorithm by Kwong, Chiew Foong

    Published 2009
    “…This paper proposes a newer approach using Adaptive Network Fuzzy Inference System (ANFIS) where the training element is incorporated into the existing fuzzy handoff algorithm. …”
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    Conference or Workshop Item
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    Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

    Published 2025
    “…Clustering in WSNs is a reliable method of effectively transferring data within the network through routing. Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”
    Article
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    Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo by Tan, Li Kuo

    Published 2018
    “…The novel use of neural network regression for image segmentation was introduced, whereby multiple independent networks were designed and trained for the inference of LV landmarks, LV centrepoints, and myocardial contours, respectively. …”
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    Thesis
  8. 8

    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution by Salih Al-Badri, Qussay Abbas

    Published 2006
    “…A method for hzzy connectedness and combinations of the different segmentation techniques were experimented. A gain-based correction method; probability density function model are used to cluster white and gray matters, cerebrospinal fluid, and meninges. …”
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    Thesis
  9. 9

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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    Thesis
  10. 10

    Neural network paradigm for classification of defects on PCB by Heriansyah, Rudi, Syed Al-Attas, Syed Abdul Rahman, Zabidi, Muhammad Mun'im Ahmad

    Published 2003
    “…A new technique is proposed to classify the defects that could occur on the PCB using neural network paradigm. The algorithms to segment the image into basic primitive patterns, enclosing the primitive patterns, patterns assignment, patterns normalization, and classification have been developed based on binary morphological image processing and Learning Vector Quantization (LVQ) neural network. …”
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    Article
  11. 11

    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Several image preprocessing steps was designed to contrast the images, remove the noise, and improve image quality and overall appearance. Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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    Thesis
  12. 12

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

    Published 1996
    “…Secondly, for the intelligent trajectory generation approach, the segmented tree neural networks for each link (inverse kinematics solution) and the randomness with fuzziness (coping the unstructured environment from the cost function) were used. …”
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    Thesis
  13. 13

    Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: a systematic review by Musri, Nabila, Christie, Brenda, Ichwan, Solachuddin Jauhari Arief, Cahyanto, Arief

    Published 2021
    “…Deep learning algorithms have broader and more profound layers and are continually being developed, remarkably enhancing their precision in detecting and segmenting objects. …”
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    Article
  14. 14

    Cauchy Density-based Algorithm for VANETs Clustering in 3D Road Environments by AL-Obaidi, A.S., Jubair, M.A., Aziz, I.A., Ahmad, M.R., Mostafa, S.A., Mahdin, H., AL-Tickriti, A.T., Hassan, M.H.

    Published 2022
    “…In addition, a clustering algorithm that defines mobility vector and uses Cauchy-based density for enabling adding vehicles to their respective clusters. …”
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  15. 15

    Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification by Ahmad, Fadzil

    Published 2017
    “…Based on the occurrences of the best result obtained by an algorithm across different test functions; it is proven that the proposed method outperforms standard GA. …”
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    Thesis
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    Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

    Published 2012
    “…To this effect, a novel skin segmentation algorithm using artificial neural network (ANN) technique was developed and this was deployed to segment the palmprint and face images from the background. …”
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    Monograph
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    Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network by Islam, K.T., Raj, R.G.

    Published 2017
    “…In the first stage, a hybrid color segmentation algorithm has been developed and tested. …”
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    Article
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    Cauchy density-based algorithm for VANETs clustering in 3D road environments by Jubair, Mohammed Ahmed, Ahmad, Mohd Riduan, Abdul Aziz, Izzatdin, Al-Obaidi, Ahmed Salih, Al-Tickriti, Abdullah Talaat, Hassan, Mustafa Hamid, Mostafa, Salama A., Mahdin, Hairulnizam

    Published 2022
    “…Vehicular ad hoc networks (VANETs) are emerging to serve various types of applications for serving smart cities and intelligent transportation systems. …”
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    Article