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  1. 1
    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam

    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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  2. 2
    Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution

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

    Published 2006
    “…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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  3. 3
    Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions

    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
    “…Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”
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  4. 4
    Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification

    Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification by Huey Chern, Lim

    Published 2024
    “…Hence, this study proposed hybrid deep learning algorithms for ASD classification. Two algorithms merged: U-net neural network and Radial Basis Function (RBF) for medical image segmentation. …”
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  5. 5
    Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging

    Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging by Usmani, U.A., Roy, A., Watada, J., Jaafar, J., Aziz, I.A.

    Published 2022
    “…The visualization and classification of the area of interest in any picture is therefore an important function in order to segment the image. We examine a variety of image segmentation algorithms and give our reinforcement learning algorithm that uses Deep Convolutional Neural Networks for the detection of irregular objects, which has been tested on four datasets. …”
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  6. 6
    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis

    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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  7. 7
    Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks

    Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof., Nagarajan, Ramachandran, Prof. Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya

    Published 2011
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  8. 8
    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah

    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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  9. 9
    Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques.

    Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques. by Sulaiman, Md. Nasir, Khalid, Marzuki

    Published 2001
    “…A three layer Neural Network architecture with the new error function of backpropagation learning algorithm is used as recogniser. …”
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  10. 10
    An Intelligent System Approach to the Dynamic Hybrid Robot Control

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

    Published 1996
    “…In the robot hybrid control method the neural networks, fuzzy logics and randomization strategies were used. …”
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  11. 11
    Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: a systematic review

    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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  12. 12
    Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification

    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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  13. 13
    A self-organizing approach: Time synchronization for the HeNodeBs in heterogeneous network

    A self-organizing approach: Time synchronization for the HeNodeBs in heterogeneous network by Hasan M.K., Ismail A.F., Abdalla A.H., Ramli H.A.M., Hashim W., Razzaque A., Khairolanuar M.H.

    Published 2023
    Conference Paper
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  14. 14
    Structural crack detection using deep convolutional neural network / Raza Ali

    Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

    Published 2022
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  15. 15
    Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease

    Correlation of Retinal Blood Vessel Tortuosity and Chronic Kidney Disease by Amirul Asyraf bin Mustapha Kamel

    Published 2023
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  16. 16
    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis

    A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Saleh, Basma Jumaa, Omar, Zaid, As’ari, Muhammad Amir, Bhateja, Vikrant, Izhar, Lila Iznita

    Published 2025
    “…Five benchmark functions are used to accelerate convergence and address the issue of local optima. …”
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  17. 17
    Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network

    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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  18. 18
    Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz

    Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz by Abd Aziz, Nur Hasyimah

    Published 2020
    “…Therefore, this study will develop handwritten recognition system by using Convolutional Neural Network (CNN) as a classifier. …”
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  19. 19
    Segmenting nodules of lung tomography image with level set algorithm and neural network

    Segmenting nodules of lung tomography image with level set algorithm and neural network by Chong, Soon Yee, Tan, Min Keng, Yeo, Kiam Beng, Mohd Yusof Ibrahim, Hao, Xiaoxi, Teo, Kenneth Tze Kin

    Published 2019
    “…Performance of the segmentation algorithms is analysed using 20 lung CT images from LIDC dataset. …”
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  20. 20
    A self-organizing approach: time synchronization for the HeNodeBs in heterogeneous network

    A self-organizing approach: time synchronization for the HeNodeBs in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hassan Abdalla Hashim, Aisha, Mohd. Ramli, Huda Adibah, Hashim, Wahidah, Razzaque, Abdur, M.H., Khairolanuar

    Published 2015
    “…Nevertheless, caused by the absence of internet or unfortunate connectivity for a prolonged period HeNodeBs undergoes synchronization difficulties that leads to frequency mismatch With this paper, a kind of self-organizing method is suggested for time synchronization in Heterogeneous Network, and that is standardized using IEEE1588 master slave method along with Precision Timing Protocol (PTP). …”
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