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  1. 1
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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  2. 2
    Using algorithmic taxonomy to evaluate lecturer workload

    Using algorithmic taxonomy to evaluate lecturer workload by Hashim, Ruhil Hayati, Abdul Hamid, Jamaliah, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Mohayidin, Mohd Ghazali

    Published 2006
    “…Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  3. 3
    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal

    Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hasan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  4. 4
    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe

    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

    Published 2001
    “…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
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  5. 5
    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal

    Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal by Abdul Hamid, Jamaliah, Mohayidin, Mohd Ghazali, Selamat, Mohd Hassan, Ibrahim, Hamidah, Abdullah, Rusli, Hashim, Ruhil Hayati

    Published 2006
    “…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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  6. 6
    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs

    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs by Sadiq, Ali Safaa, Alkazemi, Basem, Mirjalili, Seyedali, Ahmed, Noraziah, Khan, Suleman, Ali, Ihsan, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
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  7. 7
    An efficient IDS using hybrid Magnetic swarm optimization in WANETs

    An efficient IDS using hybrid Magnetic swarm optimization in WANETs by Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
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  8. 8
    Haemoglobin distribution in ulcers for healing assessment

    Haemoglobin distribution in ulcers for healing assessment by Malik, Aamir Saeed, Fadzil, A. F. M., Arshad, Leena, Jamil, Adawiyah, Yap, Felix

    Published 2012
    “…Data clustering techniques are implemented to classify and segment detected regions of granulation tissue from the extracted haemoglobin images. Results obtained indicate that the developed algorithm performs fairly well with an average sensitivity of 88.24% and specificity of 98.82% when compared to the dermatologist's assessment. …”
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  9. 9
    Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani

    Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani by Mirhassani, Seyedmostafa

    Published 2015
    “…In case of multiple filterbanks the cepstral features are used in different experts for performing classification based on different representation of speeches. …”
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  10. 10
    Enhancing clustering algorithm with initial centroids in tool wear region recognition

    Enhancing clustering algorithm with initial centroids in tool wear region recognition by Kasim, Nur Adilla, Nuawi, Mohd Zaki, Abdul Ghani, Jaharah, Ngatiman, Nor Azazi, Che Haron, Che Hassan, Muhammad Rizal

    Published 2020
    “…K-means clustering has become the most applied algorithm in discovering classes in an unsupervised scenario. …”
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