Search Results - (( java implementation svm algorithm ) OR ( programming program semasa algorithm ))

Search alternatives:

  • Showing 1 - 8 results of 8
Refine Results
  1. 1
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Sejauh manakah model Stufflebeam (KIPP) boleh membantu dalam penilaian program pembelajaran?

    Sejauh manakah model Stufflebeam (KIPP) boleh membantu dalam penilaian program pembelajaran? by Yahaya, Azizi, Yahaya, Noordin, Hashim, Shahrin, Ramli, Jamaluddin

    Published 2007
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  4. 4
    Pembangunan model pengoptimman pengeluaran minyak sawit dan isirong sawit menggunakan pendekatan genetik kabur

    Pembangunan model pengoptimman pengeluaran minyak sawit dan isirong sawit menggunakan pendekatan genetik kabur by ., Lily Amelia, Wahab, Dzuraidah, Hassan, Azmi

    Published 2008
    “…The developed model is an integration between fuzzy expert system models and multi objective programming model. Model optimisation is performed using the genetic algorithm method. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABDUl RAHIM, RUZAIRI, ADRIAN, ANDI, HAZELI, MOHD

    Published 2023
    “…The experin1ents showed that the service robot was able to understand the programmed cues and hence perform certain tasks, such as approaching the interested person. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ADEL SOOMP, ZIJBAIR, SHANISUDIN, ABU UBAIDAH, NT ABD, RUZAIR, DRIAN, RAHEVI AMA, MOIED HALELI, AH

    Published 2023
    “…The experiments showed that the service robot was able to understand the programmed cues and hence perform certain tasks, such as approaching the interested person. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Operator Training Simulator Using Plantwide Control for Biodiesel Production from Waste Cooking Oil

    Operator Training Simulator Using Plantwide Control for Biodiesel Production from Waste Cooking Oil by Shikchand Patle, Dipesh

    Published 2015
    “…Subsequently, both the processes are optimized considering profit, heat duty and organic waste as objectives, and using an Excel-based multi-objective optimization (EMOO) program for the elitist non-dominated sorting genetic algorithm (NSGA-II). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    High Pressure Co2 Separation Using Membranes Membrane Selection and Process Modeling

    High Pressure Co2 Separation Using Membranes Membrane Selection and Process Modeling by Adewole, Jimoh Kayode Adewole

    Published 2015
    “…The optimization for membrane selection was achieved using a multi-objective optimization method while that of module operating conditions was achieved using non-linear programming constraint optimization model and a Golden search algorithm which was implemented using MATLAB. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: