Search Results - (( mobile evaluation mining algorithm ) OR ( based optimization isotherm algorithm ))

  • Showing 1 - 18 results of 18
Refine Results
  1. 1
  2. 2
  3. 3

    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

    Published 2012
    “…As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4
  5. 5

    Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman by Muhammad Habib , Ur Rehman

    Published 2016
    “…Mobile data stream mining (MDSM) applications in MECC systems involve massive heterogeneity at application and platform levels. …”
    Get full text
    Get full text
    Get full text
    Thesis
  6. 6

    Design and evaluation on adaptive fuzzy speed control of mobile robot by Abdollahi, Mohammadreza

    Published 2011
    “…Both data acquisition and control algorithm are developed by using LabVIEW. A four-wheel mobile robot, PUTRABOT2, is used to conduct the experiments. …”
    Get full text
    Get full text
    Thesis
  7. 7

    A gauss-newton approach for nonlinear optimal control problem with model-reality differences by Sie, Long Kek, Jiao, Li, Leong, Wah June, Abd Aziz, Mohd Ismail

    Published 2017
    “…Here, the linear model-based optimal control model is considered, so as the optimal control law is constructed. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Analytical method for forensic investigation of social networking applications on smartphones by Dezfouli, Farhood Norouzizadeh

    Published 2016
    “…Mobile devices are a gold mine of evidences for forensic investigators as they store valuable social networking data. …”
    Get full text
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11

    Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption by Zamani, Seyed Ali

    Published 2015
    “…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
    Get full text
    Get full text
    Thesis
  12. 12

    An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

    Published 2019
    “…In recent years, the botnets have started to evolve in the smartphones and other mobile devices after having an impact on the personal computers. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

    Published 2018
    “…A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). …”
    Get full text
    Get full text
    Thesis
  14. 14
  15. 15

    Modeling of Cu(II) adsorption from an aqueous solution using an Artificial Neural Network (ANN) by Khan, T., Manan, T.S.B., Isa, M.H., Ghanim, A.A.J., Beddu, S., Jusoh, H., Iqbal, M.S., Ayele, G.T., Jami, M.S.

    Published 2020
    “…The Fletcher-Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
    Get full text
    Get full text
    Article
  16. 16

    Modelling and simulation of hollow profile aluminium extruded product by Sulaiman, Shamsuddin, Baharudin, B. T. Hang Tuah, Mohd Ariffin, Mohd Khairol Anuar, Magid, Hani Mizhir

    Published 2015
    “…This process is an isothermal process with an extrusion ratio of 3.3. Subsequently, the optimized algorithm for these extrusion parameters was suggested based on the simulation results. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann) by Khan, Taimur, Abd Manan, Teh Sabariah, Hasnain Isa, Mohamed, A. J. Ghanim, Abdulnoor, Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi

    Published 2020
    “…The Fletcher–Reeves conjugate gradient backpropagation (BP) algorithm was the best fit among all of the tested algorithms (mean squared error (MSE) of 3.84 and R2 of 0.989). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  18. 18