Search Results - (( parallel collection system algorithm ) OR ( java application optimisation algorithm ))

Refine Results
  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Parallelization Of CCSDS Hyperspectral Image Compression Using C++ by Tan, Lit Chez

    Published 2018
    “…The program is then tested in several systems with different number of threads. The execution of parallelized CCSDS-MHC algorithm shows significant speedup for all the system and hyperspectral image tested.…”
    Get full text
    Get full text
    Monograph
  3. 3

    High performance visualization of human tumor growth software by Alias, Norma, Mohd. Said, Norfarizan, Khalid, Siti Nur Hidayah, Sin, Dolly Tien Ching, Phang, Tau Ing

    Published 2008
    “…The platform for high performance computing of the parallel algorithms run on a distributed parallel computer system. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  4. 4

    High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems by Pheng, H. S., Alias, Norma, Mohd. Said, Norfarizan

    Published 2007
    “…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
    Get full text
    Get full text
    Article
  5. 5

    High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system by Pheng H. S., Norma Alias, Norfarizan Mohd Said

    Published 2007
    “…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

    Published 2014
    “…This work presents some contributions to plant recognition system. Number of samples involving Flavia, Citrus and Coleus were collected. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

    Published 2004
    “…Then the parallel algorithms are constructed and run using the Beowulf Cluster machine. …”
    Get full text
    Get full text
    Thesis
  8. 8
  9. 9

    Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System by Abidin, Zulkifli Zainal

    Published 2013
    “…Therefore, the usage of a swarming robotic system is proposed. In this thesis, a simple framework and methodology in developing a bio-inspired algorithm for cooperative swarming robotic application has been developed. …”
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
    Get full text
    Get full text
    Thesis
  12. 12

    Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization by Hazmi Wahab, Muhammad Hafizul

    Published 2024
    “…The central challenge in Automatic Text Summarization (ATS) is efficiently generating machine-generated text summaries through optimization algorithms, a critical component for systems dealing with textual information processing. …”
    Get full text
    Get full text
    Get full text
    Thesis
  13. 13
  14. 14
  15. 15

    Optimizing photovoltaic arrays : A tested dataset of newly manufactured PV modules for data-driven analysis and algorithm development by Al Mansur, Ahmed, Islam, Md Imamul, Alam, Md Sabbir, Mohd Shawal, Jadin, Sultana, Zinat, Ali, Md Mortuza Naushad, Shihavuddin, Asm S.M.

    Published 2024
    “…To facilitate optimization efforts, different algorithms have been explored in the literature. This dataset supports the exploration of these optimization algorithms to find solutions that enhance the position of each module within the array, consequently increasing the overall output power and efficiency of the PV system. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Predictive modeling of condominium prices using a Particle Swarm Optimization-Random Forest approach / Che Wan Sufia Che Wan Samsudin by Che Wan Samsudin, Che Wan Sufia

    Published 2025
    “…Essential phases of the project include data collection, data preprocessing, and the implementation of the Particle Swarm Optimization-Random Forest price prediction algorithm. …”
    Get full text
    Get full text
    Thesis
  18. 18

    Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision by Abu Raid, Fadi Imad Osman

    Published 2021
    “…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
    Get full text
    Get full text
    Thesis
  19. 19
  20. 20

    Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model by Megat Syahirul Amin, Megat Ali, Azlee, Zabidi, Nooritawati, Md Tahir, Ihsan, Mohd Yassin, Eskandari, Farzad, Azlinda, Saadon, Mohd Nasir, Taib, Abdul Rahim, Ridzuan

    Published 2024
    “…System Identification (SI), a methodology utilized in domains like engineering and mathematical modeling to construct or refine dynamic system models from captured data, relies significantly on the Nonlinear Auto-Regressive (NAR) model due to its reliability and capability of integrating nonlinear functions, complemented by contemporary machine learning strategies and computational algorithms to approximate complex system dynamics to address these limitations. …”
    Get full text
    Get full text
    Get full text
    Article