Search Results - (( developing control clustering algorithm ) OR ( java application during algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Effective k-Means Clustering in Greedy Prepruned Tree-based Classification for Obstructive Sleep Apnea by Sim, Doreen Ying Ying, Ahmad I., Ismail, Chee Siong, Teh

    Published 2022
    “…Incorporation of prepruned decision trees to kmeans clustering through one to three types of tree-depth controllers and cluster partitioning was done to develop a combined algorithm named as Greedy Pre-pruned Treebased Clustering (GPrTC) algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Optimizing wireless sensor networks: A survey of clustering strategies and algorithms by Hamim, Sakib Iqram, Azamuddin, Ab Rahman

    Published 2024
    “…This study serves as a helpful source of knowledge that can encourage the further development of the enhancement of clustering algorithms for WSNs in response to modern technology needs.…”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning by Masuyama, Naoki, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki, Nojima, Yusuke, Liu, Yiping

    Published 2019
    “…Other types of the ART-based topological clustering algorithms have been developed, however, these algorithms have various drawbacks such as a large number of parameters, sensitivity to noisy data. …”
    Get full text
    Get full text
    Article
  7. 7

    Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks by Alhalabi, Huda A. H.

    Published 2019
    “…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Efficient Clustering Method by Hasan, Nurul

    Published 2010
    “…These server nodes are responsible for transmitting the data from cluster head to the base station. Our proposed algorithm for cluster head selection based on residual energy, distance, reliability and degree of mobility. …”
    Get full text
    Get full text
    Citation Index Journal
  9. 9

    Penggunaan penggugusan subtraktif bagi menjana peraturan kabur by Agus Priyono, Muhammad Ridwan, Ahmad Jais Alias, Riza Atiq O. K. Rahmat, Azmi Hassan, Mohd. Alauddin Mohd. Ali

    Published 2005
    “…By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
    Get full text
    Get full text
    Article
  10. 10

    Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

    Published 2019
    “…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
    Get full text
    Get full text
    Article
  11. 11

    Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization by Hamdi, Mustafa Maad, Audah, Lukman, Rashid, Sami Abduljabbar

    Published 2022
    “…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). …”
    Get full text
    Get full text
    Article
  12. 12

    Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm by Kamal Z., Zamli, Fakhrud, Din, Nazirah, Ramli, Ahmed, Bestoun S.

    Published 2019
    “…Although showing competitive performances in many real-world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor control on exploration and exploitation. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Abnormalities detection in apert syndrome using hierarchical clustering algorithms by Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff

    Published 2025
    “…There are 12 skull angles and these angles are analysed using hierarchical clustering algorithms for identifying the outliers or abnormalities. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    An Effective Power Dispatch Strategy for Clustered Micro-grids while Implementing Optimal Energy Management and Power Sharing Control using Power Line Communication by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Muttaqi, Kashem M

    Published 2019
    “…This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. …”
    Get full text
    Get full text
    Get full text
    Proceeding
  15. 15
  16. 16
  17. 17

    Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad by Iftikhar , Ahmad

    Published 2019
    “…This research focuses on the development of a novel heterogeneous network infrastructure-based vehicular clustering framework called destination and interest-aware clustering (DIAC). …”
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    The development of semantic meta-database: an ontology based semantic integration of biological databases by Samsudin, Ruhaidah, Deris, Safaai, Othman, Muhammad Razib, Md. Illias, Rosli

    Published 2007
    “…The tool comprises two intelligent algorithms. The first algorithm combines parallel genetic algorithm with the split-and-merge algorithm. …”
    Get full text
    Get full text
    Monograph
  20. 20

    A reliable unicast routing protocol for mobile ad hoc network by Sargolzaey, Hadi

    Published 2013
    “…It is also shown that the algorithm contributed greatly to reducing control overhead and although we have extra control packets overhead due to the cluster formation and maintenance, we see 27% to 38% control packets overhead reduction in different network conditions.…”
    Get full text
    Get full text
    Thesis