Search Results - (( developing interactive prevention algorithm ) OR ( java application path algorithm ))

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  1. 1

    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. …”
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    Thesis
  2. 2

    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. …”
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    Final Year Project / Dissertation / Thesis
  3. 3

    Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

    Published 2022
    “…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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    Article
  4. 4

    Development of efficient t-way test data generation algorithm and execution strategies by Khandakar Fazley, Rabbi

    Published 2012
    “…R2Way outperforms other existing strategies but cannot support higher interaction level (T > 2). And finally, (IV) MTTG (Multi-Tuple based T-way Test Data Generation) strategy is developed inspiring kids “Card Game” to overcome the limitations of interaction strength. …”
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    Thesis
  5. 5

    Accident Prevention Block to Move an Automobile From Traffic Collision by Rajiv, Charles Samuel

    Published 2019
    “…In the present work, an attempt has been made to propose an accident prevention block in automobiles that can sense the tired/sleepy driver via a camera and algorithms, to maneuver the vehicle to safety. …”
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    Article
  6. 6

    All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.] by Chiau Ming, Long, Karuppannan, Mahmathi, Abdul Wahab, Izyan, Abd Wahab, Mohd Shahezwan, Zulkifly, Hanis Hanum

    Published 2014
    “…In a later stage of this project, we could quantify the risk factors for ADR and drug interaction and develop a predictive model which links drug interaction with ADR.…”
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    Book Section
  7. 7

    Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    Published 2019
    “…This work aims to develop a crowd behavior monitoring system using Self-Adaptive SFM. …”
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    Article
  8. 8
  9. 9

    3D Face Analysis using Tensor Approach by Suriani, Ab Rahman

    Published 2022
    “…Early studies in face research used matrix-based and vector-based algorithms to represent faces. According to studies, these methods have the potential to prevent the loss of critical and significant data, which could lead to lower recognition performance. …”
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    Thesis
  10. 10

    A conceptual anonymity model to ensure privacy for sensitive network data by Arafat, N.H.M., Pramanik, Md Ileas, Abu Jafar, Md Muzahid, Lu, Bibo, Jahan, Sumaiya, Murad, Saydul Akbar

    Published 2021
    “…The growing popularity of this industry, as well as the required development of data sharing tools and technology, pose major threats to an individual's sensitive information privacy. …”
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    Conference or Workshop Item
  11. 11

    Monitoring cathodic protection system for underground pipeline by Thai, Seng Choong

    Published 2013
    “…In this research, a software algorithm is created to be able to sense the readings of drain point, shunt current, transformer rectifier voltage, temperature, humidity and to response to multiple levels of CP malfunctions using interactive graphical method and mapping system. …”
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    Thesis
  12. 12

    Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning by Priya Sri, E.K., Savita, K.S., Zaffar, M.

    Published 2021
    “…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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    Conference or Workshop Item