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  1. 1

    Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

    Published 2014
    “…This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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    Thesis
  2. 2

    Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

    Published 2014
    “…This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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    Thesis
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    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

    Published 2016
    “…Therefore, this paper proposes a novel routing algorithm called efficient and stable routing algorithm based on user mobility and node density (ESRA-MD). …”
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    Article
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    Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks by Alhalabi, Huda A. H.

    Published 2019
    “…Connectivity is a critical issue in WSNs, as the data collected needs to be sent to the base station or the processing centers. …”
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  7. 7

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…Therefore, a Dynamic Connectivity Factor Probabilistic (DCFP) is proposed, based on a novel formula that dynamically adjusts the dropping decision based on the neighbor information gathered from the node itself. …”
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    Adaptive resource allocation algorithms with QoS support in OFDMA-based WiMAX networks by Alsahag, Ali Mohamemed Mansor

    Published 2014
    “…WASA classifies the users based on their weighted-rate factor, which is greater than the minimum requirements, to determine the achievable data rate for each connection in each time-frequency slot. …”
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    Thesis
  10. 10

    A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus by Megat Yunus, Puteri Nor Ashikin

    Published 2023
    “…This thesis presents a new algorithm for output prediction and online monitoring in a Grid-Connected Photovoltaic (GCPV) system based on an artificial neural network. …”
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    Thesis
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    An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning by Islam, Md Kamrul

    Published 2019
    “…BOCEDS clusters the data stream in a single stage. The algorithm summarizes the data from data stream in micro-clusters. …”
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    Failure detection analysis of grid-connected photovoltaic system using an improved comparative based method / Fatin Azirah Mohd Shukor by Mohd Shukor, Fatin Azirah

    Published 2022
    “…Moreover, the evaluation on the reliability of the FD analysis algorithm applied using large amount of field data instead of simulated data is still limited and significant, especially in the context of tropical climate conditions. …”
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    Thesis
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    Transitive fuzzy similarity multigraph-based model for alternative clustering in multi-criteria group decision making problems by Khameneh, Azadeh Zahedi, Kilicman, Adem, Md Ali, Fadzilah

    Published 2022
    “…The present paper contributes to considering a novel data clustering algorithm, called FBC-Cluster, based on fuzzy multigraphs in terms of both structural and attribute similarities. …”
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    Article
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    Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

    Published 2017
    “…On top of that, the existing analysis tools and algorithms did not consider the data generated by sensory devices connected to the Internet. …”
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    Conference or Workshop Item
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    Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream by Abdulateef, Alaa Fareed

    Published 2023
    “…Existing clustering algorithms for outlier detection encounter significant challenges due to insufficient data pre-processing methods and the absence of a suitable data summarization framework for effective data stream clustering. …”
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    Thesis