Search Results - (( using certification model algorithm ) OR ( java application path algorithm ))

Search alternatives:

  • Showing 1 - 12 results of 12
Refine Results
  1. 1
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    User-Device Authentication Model With Digital Certificate For Smartphone User

    User-Device Authentication Model With Digital Certificate For Smartphone User by Sakiinah binti Altaf Hussain

    Published 2024
    thesis::master thesis
    Save to List
    Saved in:
  3. 3
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  5. 5
    Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil

    Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil by Jamil, Nur Syafiqah

    Published 2021
    “…As the most important features towards transaction price, building security made the largest contribution to the Multiple Linear Regression Model. Meanwhile, experiments using five common algorithms, Random Forest Regressor Model outperforms four (4) other algorithms in predicting the price of green building condominium, by training and validating the data-set using Split approach. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Household overspending model amongst B40, M40 and T20 using classification algorithm

    Household overspending model amongst B40, M40 and T20 using classification algorithm by Zulaiha Ali, Othman, Azuraliza, Abu Bakar, Nor Samsiah, Sani, Jamaludin, Sallim

    Published 2020
    “…Availability of 4 million household expenditure records obtained from the survey conducted in 2016 by the Department of Statistics Malaysia eases the aim of this study to develop a household overspending model by using machine learning. The model is developed using 12 household demographic attributes with 14451 household records. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Green building factor in machine learning based condominium price prediction

    Green building factor in machine learning based condominium price prediction by Masrom, S., Mohd, T., Rahman, A.S.A.

    Published 2022
    “…The results indicated that RF has been outperformed others while Green Certificate and GBI have only been slightly important in the DL model. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad by Ahmad, Nurul Atirah

    Published 2023
    “…Thus, this project aims to classify and generate a list of potential job applicants by analyzing various attributes of their LinkedIn accounts, such as title, location, skills, education, language, certification, and experience. This project implements the Naive Bayes algorithm as the classification algorithm. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Application Of The Blockchain Technology Within Healthcare

    Application Of The Blockchain Technology Within Healthcare by Lin, Michelle Hwei Yee

    Published 2021
    “…In this project, a Logistic Regression statistical model is developed by using Python to construct the proposed model. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  10. 10
    Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites

    Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites by Liong, Kah Pong

    Published 2023
    “…Then, a machine learning tool is selected to build machine learning models that use three different machine learning algorithms, which are Support Vector Machine, Random Forest, and XGBoost. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
    Save to List
    Saved in:
  11. 11
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad Kushairi

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad... by Ahmad, Nurul Atirah, Abu Samah, Khyrina Airin Fariza, Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…Thus, this project aims to classify and generate a list of potential job applicants by analyzing various attributes of their LinkedIn accounts, such as title, location, skills, education, language, certification, and years of experience. This project implements the Naive Bayes algorithm as the classification algorithm. …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  12. 12
    Flexible content authorization using digital rights management in cloud computing / Ali Hussain

    Flexible content authorization using digital rights management in cloud computing / Ali Hussain by Ali , Hussain

    Published 2021
    “…The integrity of data is verified with the use of HMAC algorithm chain using the verify function of versifier in Macaroon. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: