Search Results - (( developing sliding window algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model by Raja Wahab, Raja Azhan Syah

    Published 2024
    “…The algorithm development combines the frameworks from Phases 1 to 3, evaluating real and synthetic datasets. …”
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    Thesis
  2. 2

    Using streaming data algorithm for intrusion detection on the vehicular controller area network by Sharmin, Shaila, Mansor, Hafizah, Abdul Kadir, Andi Fitriah, Abdul Aziz, Normaziah

    Published 2022
    “…While the Isolation Forest (iForest) anomaly detection algorithm has a linear time complexity and low memory requirement, iForestASD adapts iForest by employing a sliding window that introduces the ability to handle concept drift, which is often characteristic of streaming data such as CAN bus traffic. …”
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    Proceeding Paper
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    Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals by Ahmed, Ahmed Elsayed Elmahdy

    Published 2014
    “…In this algorithm a sliding window of one second is utilized to check for epileptic seizure at each second and the classification method used is support vector machine (SVM). …”
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    Final Year Project
  5. 5

    A voting-based hybrid machine learning approach for fraudulent financial data classification / Kuldeep Kaur Ragbir Singh by Kuldeep Kaur , Ragbir Singh

    Published 2019
    “…The empirical results positively indicate that the hybrid model with the sliding window method is able to yield a good accuracy rate of 82.4% in detecting fraud cases in real world credit card transactions. …”
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    Thesis
  6. 6

    Type 2 Fuzzy Inference-Based Time Series Model by Nur Fazliana, Rahim, Mahmod, Othman, Rajalingam, Sokkalingam, Evizal, Abdul Kadir

    Published 2019
    “…A sliding window method was proposed to find a proper and systematic measurement for predicting the number of class intervals. …”
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    Article
  7. 7

    An efficient unknown detection approach for RFID data stream management system by Siti Salwani, Yaacob, Hairulnizam, Mahdin, Wijayanto, Inung, Muhammad Aamir, -, Mohd Izham, Mohd Jaya, Nabilah Filzah, Mohd Radzuan, Al Fahim, Mubarak Ali

    Published 2025
    “…This research addresses the critical issue of detecting unknown tags, focusing on optimizing processing time and energy efficiency in terms of memory usage when detecting these tags. A novel algorithm called SWOR (Sliding Window XOR-based Detection) is introduced, specifically designed to identify unknown tags within RFID data streams. …”
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    Article
  8. 8

    Modeling of Functional Electrical Stimulation (FES): Powered Knee Orthosis (PKO) assisted gait exercise in post-stroke rehabilitation / Adi Izhar Che Ani by Che Ani, Adi Izhar

    Published 2023
    “…The improvement of the model was implemented by incorporating different sliding windows on the model's input parameters. The best gait model was a Decision Tree with sliding window data (t-3), which had a root mean square error of 3.3018 and an R-squared value of 0.97. …”
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    Thesis
  9. 9

    Neural network application in the change of reservoir water level stage forecasting by Ashaary, Nur Athirah, Wan Ishak, Wan Hussain, Ku-Mahamud, Ku Ruhana

    Published 2015
    “…Six neural network models based on standard back propagation algorithm have been developed and tested.Sliding windows have been used to segment the data into various ranges. …”
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    Article
  10. 10

    Epileptic seizure detection using the singular values of EEG signals by Shahid, Arslan, Kamel, Nidal, Malik, Aamir Saeed, Jatoi, Munsif Ali

    Published 2013
    “…The SVD is applied sequentially on a sliding window of one second width of EEG data and the r singular values are obtained and used to indicate sudden changes in the signals. …”
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    Conference or Workshop Item
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    Forecasting model for the change in stage of reservoir water level by Nur Athirah, Ashaary

    Published 2016
    “…The reservoir water level was categorised into stages based on DID manual. A modified sliding window algorithm has been deployed to segment the data into temporal patterns. …”
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    Thesis
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