Search Results - (( developing pervasive computing algorithm ) OR ( java applications sensor algorithm ))

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  1. 1
    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm

    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm by Mantoro, Teddy, Olowolayemo, Akeem Koye

    Published 2009
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    Proceeding Paper
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  2. 2
    Study and Implementation of Data Mining in Urban Gardening

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

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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  3. 3
    Making location-aware computing working accurately in smart spaces

    Making location-aware computing working accurately in smart spaces by Mantoro, Teddy, Ayu, Media Anugerah, Weyn, Maarten

    Published 2011
    “…In smart environment, making a location-aware personal computing working accurately is a way of getting close to the pervasive computing vision. …”
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  4. 4
    Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing

    Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing by Ch'ng, Heng Sun

    Published 2007
    “…Graphs are pervasive data structures in computer science, and algorithms working with them are fundamental to the field. …”
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    Thesis
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  5. 5
    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak

    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak by Ishak, Najihah Salsabila

    Published 2021
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  6. 6
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
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    Monograph
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  7. 7
    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems

    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems by Paniandi, Arul

    Published 2006
    “…The concern with security problems has been rapidly increasing as computers and Internet services become a more pervasive part of our daily life. …”
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  8. 8
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media Anugerah, Md. Tap, Abu Osman

    Published 2011
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  9. 9
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media A., Abu Osman, Md. Tap

    Published 2011
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  10. 10
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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    Final Year Project / Dissertation / Thesis
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  11. 11
    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION

    LINGUISTIC FUZZY MODELING IN LASER MACHINING QUALITY EVALUATION by Sivarao, Subramonian

    Published 2007
    “…The aim of this scientific research is to design knowledge based linguistic rules, algorithm, architecture & learning ability and further develop fuzzy model for laser machining kerf edge quality prediction. …”
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  12. 12
    Fuzzy expert system modeling of laser processing

    Fuzzy expert system modeling of laser processing by Subramonian, Sivarao, Ahmad, Kamely, Md Palil, Md Dan

    Published 2009
    “…This paper discusses a specific approach of surface roughness predictive modelling by Fuzzy Logic - a unique way of computational solution. The objective of the paper is: to design knowledge based rules, algorithm, architecture & learning ability to develop fuzzy surface roughness predictive model for laser machining; to develop fuzzy predictive model using design parameters which were critically analyzed; to make a comparative study of the observed and modelled surface roughness output of 5mm Mn-Mo pressure vessel plate. …”
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  13. 13
    RSSI Fingerprinting Approach for Location-Based Services

    RSSI Fingerprinting Approach for Location-Based Services by Abd Rashid, Mohd Juzaili

    Published 2006
    “…Therefore, based on my knowledge and developed tools in localization, I can further develop a locationbased service system. …”
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    Final Year Project
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  14. 14
    Healthcare-Chain: Blockchain-Enabled Decentralized Trustworthy System in Healthcare Management Industry 4.0 with Cyber Safeguard

    Healthcare-Chain: Blockchain-Enabled Decentralized Trustworthy System in Healthcare Management Industry 4.0 with Cyber Safeguard by Islam, Md. Shohidul, Mohamed Ariff, Ameedeen, Rahman, Md. Arafatur, Ajra, Husnul, Zahian, Ismail

    Published 2023
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  15. 15
    A systematic review of recurrent neural network adoption in missing data imputation

    A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

    Published 2025
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  16. 16
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
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  17. 17
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
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  18. 18
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Pei, Chun Lin

    Published 2024
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  19. 19
    Portfolio optimization with percentage error-based fuzzy random data for industrial production

    Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

    Published 2024
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  20. 20
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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