Search Results - (( software visualization clustering algorithm ) OR ( evolution optimization tree algorithm ))

Search alternatives:

  • Showing 1 - 18 results of 18
Refine Results
  1. 1
    Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks

    Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks by Sanni, Mistura Laide, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Anwar, Farhat, Ahmed, Gharib Subhi Mahmoud

    Published 2015
    “…Thus this paper proposes a Differential Evolution based optimized mobile multicast routing algorithm for the shared tree architecture. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  2. 2
    Fuzzy Soft Set Clustering for Categorical Data

    Fuzzy Soft Set Clustering for Categorical Data by Iwan Tri Riyadi, Yanto, Ani, Apriani, Rofiul, Wahyudi, Cheah, Wai Shiang, Suprihatin, in, Rahmat, Hidayat

    Published 2024
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Clustering of Indonesian forest fires using self organizing maps

    Clustering of Indonesian forest fires using self organizing maps by Selamat, Ali, Selamat, Md. Hafiz

    Published 2006
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals by Too, Jing Wei

    Published 2020
    “…The first method is the Binary Tree Growth Algorithm (BTGA), which implements a hyperbolic tangent function to convert the Tree Growth Algorithm into the binary version. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Visualization of dengue incidences using expectation maximization (EM) algorithm

    Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2017
    “…R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Differentially expressed wound-response-related proteins from a major agarwood-producing tree, Aquilaria malaccensis Lam. identified via 2-D electrophoresis

    Differentially expressed wound-response-related proteins from a major agarwood-producing tree, Aquilaria malaccensis Lam. identified via 2-D electrophoresis by Lee, Shiou Yih, Samsuddin, Ahmad Syazwan, Lamasudin, Dhilia Udie, Mohamed, Rozi

    Published 2018
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Analysis of Microscopic Blood Samples for Detecting Malaria

    Analysis of Microscopic Blood Samples for Detecting Malaria by Saw Hui, Ann

    Published 2013
    Get full text
    Get full text
    Undergraduates Project Papers
    Save to List
    Saved in:
  9. 9
    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization

    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization by Too, Jing Wei, Tee, Wei Hown, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

    Published 2019
    “…In order to measure the effectiveness of PBPSO, binary particle swarm optimization (BPSO), genetic algorithm (GA), modified binary tree growth algorithm (MBTGA), and binary differential evolution (BDE) were used for performance comparison. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Clustering-based cloud migration strategies

    Clustering-based cloud migration strategies by Aslam, M., Rahim, L.B.A., Watada, J., Hashmani, M.

    Published 2018
    “…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Clustering-based cloud migration strategies

    Clustering-based cloud migration strategies by Aslam, M., Rahim, L.B.A., Watada, J., Hashmani, M.

    Published 2018
    “…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun

    Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun by Zamrun, Nur Zakira Ain

    Published 2022
    “…Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine learning and water spectral indices (MNDWI) to analyze the areas most influenced by deposited river sediments from the clustered images. Quantification of Landsat 8 OLI satellite images was applied using ENVI software on the study area for detecting sedimentation in the study area that used image data band correlation in deposited river sediment through unsupervised classifier algorithm and selection of spectral bands for MNDWI. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Efficient and effective automated surveillance agents using kernel tricks

    Efficient and effective automated surveillance agents using kernel tricks by Ahmed, Tarem, Wei, Xianglin, Ahmed, Supriyo, Pathan, Al-Sakib Khan

    Published 2012
    “…In this paper we present three software-based agents built using kernel machines to perform automated, real-time intruder detection in surveillance systems. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Data mining and analysis for predicting electrical energy consumption

    Data mining and analysis for predicting electrical energy consumption by Khudhair I.Y., Dhahi S.H., Alwan O.F., Jaaz Z.A.

    Published 2024
    Article
    Save to List
    Saved in:
  16. 16
    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) by Ganasan, Shatiskumar, Norazlianie, Sazali

    Published 2024
    “…Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  17. 17
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…Overall, the software provides good ability in identifying and classifying various loads of WMH. …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  18. 18
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…Overall, the software provides good ability in identifying and classifying various loads of WMH. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: