Search Results - (( basic validation clustering algorithm ) OR ( using codification system algorithm ))

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  1. 1
    New approaches to normalization techniques to enhance k-means clustering algorithm

    New approaches to normalization techniques to enhance k-means clustering algorithm by Dalatu, Paul Inuwa, Midi, Habshah

    Published 2020
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  2. 2
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Hassan Abdalla Hashim, Aisha, Mohd. Ramli, Huda Adibah, Hashim, Wahidah, Islam, Shayla, Badron, Khairayu

    Published 2014
    “…To detect spectrums from nearby macrocell (macro-eNodeB) HeNodeBs are grouped in to cluster. A cluster formation algorithm is also proposed in where, cluster head (CH) and signaling node (SN) will detect implies the multi-channel SS technique. …”
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    Proceeding Paper
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  3. 3
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan, Mohammad Kamrul, Ismail, Ahmad Fadzil, Mohd. Ramli, Huda Adibah, Hassan Abdalla Hashim, Aisha, Islam, Shayla, Hashim, Wahidah, Badron, Khairayu

    Published 2015
    “…To detect spectrums from nearby macrocell (macro-eNodeB) HeNodeBs are grouped in to cluster. A cluster formation algorithm is also proposed in where, cluster head (CH) and signaling node (SN) will detect implies the multi-channel SS technique. …”
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  4. 4
    Cluster-based spectrum sensing scheme in heterogeneous network

    Cluster-based spectrum sensing scheme in heterogeneous network by Hasan M.K., Ismail A.F., Abdalla A.-H., Ramli H.A.M., Islam S., Hashim W., Badron K.

    Published 2023
    Conference Paper
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  5. 5
    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz

    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz by Yafooz, Wael Mohamed Shaher

    Published 2014
    “…Three experiments have been conducted on textual Reuters corpus, Classic and WAP dataset. The clustering results have been validated using the F-measure, Entropy and Purity methods of measurement and compared with two common methods, which are information extraction and textual document clustering, for example, K-means, Frequent Item-Set, Hierarchical Clustering Algorithms and Oracle Text. …”
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    Thesis
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  6. 6
    HybridFlood: minimizing the effects of redundant messages and maximizing search efficiency of unstructured peer-to-peer networks

    HybridFlood: minimizing the effects of redundant messages and maximizing search efficiency of unstructured peer-to-peer networks by Barjini, Hassan, Othman, Mohamed, Ibrahim, Hamidah, Udzir, Nur Izura

    Published 2014
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  7. 7
    Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach

    Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin, Rangkuti, Chalillullah

    Published 2010
    “…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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  8. 8
    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 the next step, based on the cepstral features provided by the filterbanks a hierarchical phoneme classification is performed. Systems using the provided features were evaluated in phoneme recognition/classification task. …”
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