Search Results - (( intelligence based flow algorithm ) OR ( intelligence based can algorithm ))

Refine Results
  1. 1

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…Result shows that, the algorithm can successfully identify 135 unique tasks of different lengths.This algorithm is surely being an alternate way of pattern recognition in intelligent home.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2
  3. 3

    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…For instance, in healthcare, AI algorithms can analyze medical images for early disease detection. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS) by Khairul Anuar Juhari, Rizauddin Ramli, Sallehuddin Mohamed Haris, Zunaidi Ibrahim, Abdullah Zawawi Mohamed

    Published 2020
    “…The proposed system runs on Robot Operating Systems (ROS) and Tensor Flow programming. The experimental results showed how the different controllers can be improved by adding the ANBS algorithm which intelligently filtering the unnecessary error and produce the precise output on the map. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    Published 2018
    “…An intelligence strategy called quasi-oppositional based learning is incorporated into the proposed algorithm to enhance its convergence property, exploration capability, and solution optimality. …”
    Get full text
    Get full text
    Get full text
    Article
  7. 7

    Dynamic traffic light sequence algorithm using RFID by Al-Khateeb, Khalid A. Saeed, Johari, Jaiz A. Y, Al-Khateeb, Wajdi Fawzi Mohammed

    Published 2008
    “…Results: The simulation has shown that, the dynamic sequence algorithm has the ability to intelligently adjust itself even with the presence of some extreme cases. …”
    Get full text
    Get full text
    Article
  8. 8

    Potential of incorporating evolutionary based network coding for information scavenging in intelligent public transportation by Teo, Kenneth Tze Kin, Chin, Renee, Ka Yin, Chua, Bih Lii, Tan, Shee Eng, Lee, Chun Hoe, Yeo Kiam Beng @ Abdul Noor, Rosalam Sarbatly, Goh, Hui Hwang, Yew, Hoe Tung

    Published 2013
    “…The simulation results show the GA can adapt to various topologies with a better throughput and energy consumption of 22.27 % fewer than store-and-forward and 16.33 % fewer than code based forwarding structure (COPE).…”
    Get full text
    Get full text
    Research Report
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13

    Prognostic Health Management of Pumps Using Artificial Intelligence in the Oil and Gas Sector: A Review by Aliyu, R., Mokhtar, A.A., Hussin, H.

    Published 2022
    “…To further understand its potential, various algorithms and related theories are examined. Based on the examined studies, machine learning shows potential for prognostics and defect diagnosis. …”
    Get full text
    Get full text
    Article
  14. 14

    An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid by Mohd Zahid, Mohamad Harith

    Published 2020
    “…Artificial intelligence today is essentially a machine that can do typically any specific task before mimicry to human intelligence. …”
    Get full text
    Get full text
    Student Project
  15. 15
  16. 16

    Intelligent control of grain drying process using fuzzy logic controller. by Mansor, Halimathon, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Mohd Kamil, Taip, Farah Saleena, Lutfy, Omar F.

    Published 2010
    “…The main obstacles to obtain the best control system for the grain drying system are due to the long delay process, highly non-linear behaviour and parameter uncertainties exist in the plant. Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
    Get full text
    Get full text
    Article
  17. 17

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

    Published 2016
    “…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi by Ahmad Tarmizi, Muhammad Danial

    Published 2020
    “…This kind of problem can be solved using Artificial Intelligence approach. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Intelligent control of grain drying process using fuzzy logic controller by Mansor, Hasmah, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Kamil, Taip, Farah Saleena, Lutfy, Omar Farouq

    Published 2010
    “…The main obstacles to obtain the best control system for the grain drying system are due to the long delay process, highly non-linear behaviour and parameter uncertainties exist in the plant. Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. …”
    Get full text
    Get full text
    Get full text
    Article