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  1. 1
    Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm

    Examining the round trip time and packet length effect on window size by using the Cuckoo search algorithm by Abubakar, Adamu, Chiroma, Haruna, Khan, Abdullah, Mohamed, Elbaraa Eldaw Elnour

    Published 2016
    “…This signifies that the training was successful based on the fitted values of the window size. Thus the proposed model trained with the CS algorithm provides a high convergence rate to the true global minimum and a better optimal solution. …”
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  2. 2
    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks

    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks by Muftah, Shalghum Khaled

    Published 2022
    “…The first part introduces a flexible window-overlapping scheduling (FWOS) algorithm that allows the TT windows to overlap in GCL implementations. …”
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  3. 3
    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA

    SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA by AHMED IZZELDIN, HUZAIFA TAWFEIG

    Published 2012
    “…The proposed data store management technique is combined with the central finite difference based gradient estimate to generate a model robust against both correlated data and irregular sampled data. …”
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  4. 4
    Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad

    Jawi sub-word recognition system using window-based segmentation-free approach / Roslim Mohamad by Mohamad, Roslim

    Published 2017
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  5. 5
    Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model

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

    Published 2024
    “…Current research on tackling uncertainty revolves around creating specifically tailored algorithms that can operate in the presence of value uncertainty using both a count-based and a time-based approach. …”
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  6. 6
    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty

    Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

    Published 2024
    “…This thesis also aims to solve the low-carbon LIRP model with uncertainty factors such as carbon trading, customer demand, shortages, and soft time windows using advanced algorithms. …”
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  7. 7
    Worst-case latency analysis for AVB traffic under overlapping-based time-triggered windows in time-sensitive networks

    Worst-case latency analysis for AVB traffic under overlapping-based time-triggered windows in time-sensitive networks by Shalghum, Khaled M., Noordin, Nor K., Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2022
    “…In this paper, a worst-case end-to-end delay (WCD) for AVB traffic under overlapping-based TT windows (AVB-OBTTW) algorithm is proposed. …”
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  8. 8
    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network

    Performance evaluation and enhancement of EDCA protocol to improve the voice capacity in wireless network by Abu-Khadrah, Ahmed Ismail Mohammad

    Published 2017
    “…The idea of the algorithm was based on creating different contention window ranges between access point and wireless workstations, and changing the technique of increasing the contention window value when the collision happened. …”
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  9. 9
    An enhancement of sliding window algorithm for rainfall forecasting

    An enhancement of sliding window algorithm for rainfall forecasting by Azahar, Siti Nor Fathihah, Othman, Mahmod, Saian, Rizauddin

    Published 2017
    “…Therefore, this study proposed a forecasting rainfall method based on sliding window algorithm (SWA), in order to obtain the best rainfall prediction value. …”
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  10. 10
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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  11. 11
    VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator

    VMware as an intermediate platform between Windows 7 and Linux Fedora 15 for real-time Malaysian sign language translator by Bilal, Sara Mohammed Osman Saleh, Nassr, Rasheed M., Akmeliawati, Rini

    Published 2014
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  12. 12
    Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)

    Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN) by Shalghum, Khaled M., Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2021
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  13. 13
    Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China / Haowei Yu

    Predictive dynamic CFD approach to reducing airborne transmission in naturally ventilated hospital rooms: Impact of window opening angles during transitional cold seasons in China... by Haowei , Yu

    Published 2025
    “…Stepwise polynomial regression has been validated as a novel algorithm that can effectively predict window opening angles. …”
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  14. 14
    Using streaming data algorithm for intrusion detection on the vehicular controller area network

    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
    “…The size of the training sample is, however, found to be an important consideration - a model trained with only 30 s of CAN traffic always yields better detection performance than a model trained with a larger window of CAN traffic.…”
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  15. 15
    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e

    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e by Alam Shishir, Md. Khorsed, Abd Latif, Suhaimi, Akter, Mahmuda, Hakak, Saqib Iqbal, Masud, Massarof H., Anwar, Farhat

    Published 2014
    “…Due to this randomness of back-off window algorithm to provide probabilistic QoS to satisfy the multimedia traffic through the network, the random mobility model can reduce the network performance. …”
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  16. 16
    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification

    Fair bandwidth distribution marking and scheduling algorithm in network traffic classification by Al-Kharasani, Ameen Mohammed Abdulkarem

    Published 2019
    “…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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  17. 17
    Object tracing from synthetic fluid spray through instance segmentation

    Object tracing from synthetic fluid spray through instance segmentation by Md Refat Khan, Pathan

    Published 2024
    “…To address this, a method using two region-based R-CNN models named Mask R-CNN and BMask R-CNN and two transformer-based models named PatchDCT and FastInst has been developed to detect and segment individual droplets from synthetic liquid spray images. …”
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  18. 18
    Fuzzy time series sliding window model for rainfall forecasting / Siti Nor Fathihah Azahari

    Fuzzy time series sliding window model for rainfall forecasting / Siti Nor Fathihah Azahari by Azahari, Siti Nor Fathihah

    Published 2017
    “…The chosen division groups of u,, is applied in FTSSW model. At the same time, FTS is combined with Sliding Window Algorithm (SWA) to enhance the model. …”
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  19. 19
    New CFAR algorithm and circuit development for radar receiver

    New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

    Published 2020
    “…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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  20. 20
    Type 2 Fuzzy Inference-Based Time Series Model

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

    Published 2019
    “…Furthermore, the weighted subsethood-based algorithm was applied in developing fuzzy IF–THEN rules, where it was later used to perform forecasting. …”
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