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  1. 1
    An optimal mesh algorithm for remote protein homology detection

    An optimal mesh algorithm for remote protein homology detection by M. Abdullah, Firdaus, M. Othman, Razib, Kasim, Shahreen, Hashim, Rathiah, Hassan, Rohayanti, Asmuni, Hishammuddin, Taliba, Jumail

    Published 2011
    “…The performances of assessed programs were evaluated using ROC, Precision and Recall tests. …”
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  2. 2
    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan

    Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan by Shahron Nizan, Muhammad Shahmi

    Published 2023
    “…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. The results show the algorithm's impressive performance with an 86% precision in predicting ASD traits. …”
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  3. 3
    Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases

    Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases by Kumar, R., Khan, F.U., Sharma, A., Aziz, I.B.A., Poddar, N.K.

    Published 2022
    “…AI-assisted programs have already been established for remote health monitoring using sensors and smartphones. …”
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  4. 4
    Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases

    Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases by Kumar, R., Khan, F.U., Sharma, A., Aziz, I.B.A., Poddar, N.K.

    Published 2022
    “…AI-assisted programs have already been established for remote health monitoring using sensors and smartphones. …”
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  5. 5
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  6. 6
    Stereo vision for visual object tracking and distance measurement assessment / Sukarnur Che Abdulla...[et al.]

    Stereo vision for visual object tracking and distance measurement assessment / Sukarnur Che Abdulla...[et al.] by Che Abdullah, Sukarnur, Amari, Mohamad Dzulhelmy, Ohka, Masahiro

    Published 2019
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  7. 7
    Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh

    Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh by Farid Esmaeili , Motlagh

    Published 2018
    “…The results also proved the reliability of single-trial ERP detection algorithm and suggested the employment of this paradigm in the field. …”
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  8. 8
    AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION

    AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION by ZAINAL ABIDIN, MUHAMMAD HAFIZUDDIN

    Published 2007
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  9. 9
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
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  10. 10
    Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli

    Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli by Mohd Ramli, Mohamad Amirul Asyraf

    Published 2023
    “…The importance of this study lies in its potential to provide an accurate and efficient algorithm for plant health assessment, in making informed decisions. …”
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  11. 11
    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection

    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection by Yong, Guang

    Published 2019
    “…The FBTS integrated with automated edge-preserving regularization algorithm is implemented in C++ programming language executed in parallel computing. …”
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  12. 12
    Defining fitness function for search based assessment of grammar reachability

    Defining fitness function for search based assessment of grammar reachability by Umar, Kabir, Md Sultan, Abu Bakar, Zulzalil, Hazura, Admodisastro, Novia Indriaty, Abdullah @ Selimun, Mohd Taufik

    Published 2018
    “…The reformulation efforts could be extended by reformulating such problems as Search Based CFG reachability problems, addressable using search algorithms, such as Evolutionary Programming (EP). However, this calls for the need of fitness function that can assess reachability attained by candidates during search process. …”
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  13. 13
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  14. 14
    Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment

    Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment by Al-Doski, Jwan M. Mohammed

    Published 2013
    “…In this study, vegetation indices, tasseled cap transformation, hybrid classification as a combination of k-means and support vector machine algorithms,and post-classification comparison were respectively implemented to detect and assess LULC in Halabja. …”
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  15. 15
    Risk assessment of dengue in Betong Sarawak using simple mathematical model

    Risk assessment of dengue in Betong Sarawak using simple mathematical model by Gunap, Timothy

    Published 2020
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    Student Project
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  16. 16
    Customer sentiment analysis through social media feedback: A case study on telecommunication company

    Customer sentiment analysis through social media feedback: A case study on telecommunication company by Mat Zain, Siti Nur Syamimi, Ramli, Nor Azuana, Adnan, Rose Adzreen

    Published 2022
    “…Customer sentiment analysis is an automated way of detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. …”
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  17. 17
    Multistage quality control in manufacturing process using blockchain with machine learning technique

    Multistage quality control in manufacturing process using blockchain with machine learning technique by Gu, J., Zhao, L., Yue, X., Arshad, N.I., Mohamad, U.H.

    Published 2023
    “…Furthermore, the hybrid prediction technique assessed the fault detection prediction component. …”
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  18. 18
    STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION

    STATISTICAL FEATURE LEARNING THROUGH ENHANCED DELAUNAY CLUSTERING AND ENSEMBLE CLASSIFIERS FOR SKIN LESION SEGMENTATION AND CLASSIFICATION by Adil H., Khan, Dayang Nurfatimah, Awang Iskandar, Jawad F., Al-Asad, SAMIR, EL-NAKLA, SADIQ A., ALHUWAIDI

    Published 2021
    “…Consequently, the dependable programmed diagnosis of skin cancer is exceptionally helpful to dermatologist. …”
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  19. 19
    Customer sentiment analysis through social media feedback

    Customer sentiment analysis through social media feedback by Siti Nur Syamimi, Mat Zain

    Published 2022
    “…Customer sentiment analysis is an automated way of detecting sentiments in online interactions in order to assess customer opinions about a product, brand or service. …”
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    Undergraduates Project Papers
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  20. 20
    Image processing based vehicle's license plate tracking and recognition system

    Image processing based vehicle's license plate tracking and recognition system by Lorita Angeline

    Published 2013
    “…Designing and developing of the ALPR system is programmed in MATLAB m-file. Evaluations and assessments have been carried out and observational results show an improvement of 32% in license plate localisation by using Signature Analysis and the improved Connected Component Analysis (SAICCA) compared to the conventional Connected Component Analysis (CCA).…”
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