Search Results - evolution ((estimation techniques) OR (((computing techniques) OR (mining techniques))))

Search alternatives:

Refine Results
  1. 1
    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers

    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers by Azmi M.S.M., Sulaiman M.N.

    Published 2023
    “…In evolution and ubiquitous computing systems, accelerometer-based human activity recognition has huge potential in a large number of application domains. …”
    Article
    Save to List
    Saved in:
  2. 2
    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee

    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

    Published 2004
    “…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model

    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model by Dashti, Maedeh, Gandoman, Taghi Javdani, Adeh, Dariush Hasanpoor, Zulzalil, Hazura, Md Sultan, Abu Bakar

    Published 2021
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells

    Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells by Farah Amalina Azianti Bt Azmi, Farah Amalina Azianti

    Published 2012
    “…Since 2550 - 2315 BC, the technology of drilling has been evolved with new techniques and materials parallel to the increasing number of ideas and human population. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  7. 7
    Two level Differential Evolution algorithms for ARMA parameters estimatio

    Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

    Published 2013
    “…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  8. 8
    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
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Review of adaptive cell selection techniques in LTE-advanced heterogeneous networks

    Review of adaptive cell selection techniques in LTE-advanced heterogeneous networks by Gadam, M. A., Abdulazeez Ahmed, Maryam, Ng, Chee Kyun, Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2016
    “…Moreover, more accurate cell load estimation is obtained in the extended RBUR adaptive CRE bias technique through constant bit rate (CBR) traffic, which further improved load balancing as against the estimation based on the number of user equipment (UE). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
    Save to List
    Saved in:
  11. 11
    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods

    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

    Published 2017
    “…These methods proved accurate in estimating the reliability indices, with less computation effort. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Artificial Bee Colony With Differential Evolution Algorithm For Feature Extraction And Selection Of Mass Spectrometry Data

    Artificial Bee Colony With Differential Evolution Algorithm For Feature Extraction And Selection Of Mass Spectrometry Data by Mohamed Yusoff, Syarifah Adilah

    Published 2016
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Stability and rupture of nano-liquid film (NLF) flowing down an inclined plane

    Stability and rupture of nano-liquid film (NLF) flowing down an inclined plane by A. Ali, Muataz, Jameel, Ahmad Tariq, Ahmadun, Fakhru'l-Razi

    Published 2005
    “…The finite amplitude instability is quantified based upon numerical solution of the evolution equation using a finite difference technique. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Mixed Unscented Kalman Filter and differential evolution for parameter identification

    Mixed Unscented Kalman Filter and differential evolution for parameter identification by Legowo, Ari, Mohamad, Zahratu H., Park, HoonCheol

    Published 2013
    “…This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle

    Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Nor Farizan, Zakaria, Mohd Mawardi, Saari

    Published 2023
    “…Thus, it can be employed as a proficient technique to accurately estimate the state of charge (SOC) of electric vehicle batteries.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Overview and future opportunities of sentiment analysis approaches for big data

    Overview and future opportunities of sentiment analysis approaches for big data by Mohd Sharef, Nurfadhlina, Mat Zin, Harnani, Nadali, Samaneh

    Published 2016
    “…SA studies are predicted to be expanded into approaches that utilise scalability, possess high adaptability for source variation, velocity and veracity to maximise value mining for the benefit of the users.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…The simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Early diagnosis of Ischemia Stroke using neural network

    Early diagnosis of Ischemia Stroke using neural network by Anita, Thakur, Surekha, Bhanot, Mishra, S.N.

    Published 2009
    Get full text
    Working Paper
    Save to List
    Saved in:
  20. 20
    Global Trends of Educational Data Mining in Online Learning

    Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: