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  1. 1
    Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network

    Time Synchronization Using Distributed Observer Algorithm With Sliding Mode Control For Wireless Sensor Network by Yew, Tze Hui

    Published 2015
    “…This research describes a novel distributed observer algorithm which uses augmented sliding mode control element to compensate for clock skew for wireless sensor network (WSN), in the world of Internet of Things (IoT). …”
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  2. 2
    Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks

    Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks by Bakhsh, S.T., Aman Sheikh, M., Alghamdi, R.

    Published 2015
    “…The distributive nature of wireless sensor networks (WSNs) poses great challenges for the design of distributive scheduling to maximize network life and spatial reuse of time slot with minimum frame length. …”
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  3. 3
    An Improved Distributed Scheduling Algorithm for Wireless Sensor Networks

    An Improved Distributed Scheduling Algorithm for Wireless Sensor Networks by Sheikh, Muhammad Aman, Drieberg , Micheal, Zain Ali, Noohul Basheer

    Published 2012
    “…Simulation results show that the IDSA significantly outperforms a representative distributed random slot assignment algorithm (DRAND).…”
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  4. 4
    A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks

    A Distributed Energy Aware Connected Dominating Set Technique for Wireless Sensor Networks by Abd Aziz, Azrina, Sekercioglu, Ahmet

    Published 2012
    “…This paper presents an energy-efficient algorithm based on the connected dominating set (CDS) for a wireless sensor networks (WSN). …”
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  5. 5
    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

    Published 2025
    “…The hybrid algorithm was implemented to minimise the length of time needed to address the massive scale of the detected parallel power load abnormalities. …”
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  6. 6
    Distance vector-hop range-free location algorithm for wireless sensor network

    Distance vector-hop range-free location algorithm for wireless sensor network by Zazali, Azyyati Adiah

    Published 2015
    “…However, existing works on DV-Hop localization algorithm held onto the assumption that the placement of sensor nodes has been pre-determined before they are being distributed. …”
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  7. 7
    Enhanced ant-based routing for improving performance of wireless sensor network

    Enhanced ant-based routing for improving performance of wireless sensor network by Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana, Kamioka, Eiji

    Published 2017
    “…Global pheromone update and local pheromone update are used in the proposed algorithm with the aim to distribute the packets fairly and to prevent the energy depletion of the sensor nodes. …”
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  8. 8
    A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere

    A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere by Islam, Md. Rajibul, Alias, Norma

    Published 2010
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  9. 9
    Enhanced ant colony system for reducing packet loss in wireless sensor network

    Enhanced ant colony system for reducing packet loss in wireless sensor network by Abdul Nasir, Husna Jamal, Ku-Mahamud, Ku Ruhana, Kamioka, Eiji

    Published 2018
    “…Routing packets from source nodes to destination nodes in Wireless Sensor Network (WSN) is complicated due to the heterogeneous nature and distribution of sensor nodes. …”
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  10. 10
    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, X., Mohammadi, A., Premkumar, A.B., Asif, A.

    Published 2015
    “…Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. …”
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  11. 11
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”
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  12. 12
    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer

    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

    Published 2023
    “…Hence, it is critical for an anomaly detection algorithm to detect data anomalies patterns. …”
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  13. 13
    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems

    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems by Hnaif, Adnan Ahmad Abdelfattah

    Published 2010
    “…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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  14. 14
    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)

    Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE) by Alias, Norma, Islam, Md. Rajibul

    Published 2010
    “…The parallel algorithm for the simulation of human tumor growth is a new invention at the present time. …”
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  15. 15
    Enhanced and effective parallel optical flow method for vehicle detection and tracking

    Enhanced and effective parallel optical flow method for vehicle detection and tracking by Bhaskar, P.K., Yong, S.-P., Jung, L.T.

    Published 2016
    “…The foreground optical flow detector detects the object and a binary computation is done to define rectangular regions around every detected object. …”
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  16. 16
    An Efficient Distributed Slotted Multi-Hop Wireless Mac Protocol For Internet Of Things

    An Efficient Distributed Slotted Multi-Hop Wireless Mac Protocol For Internet Of Things by Sarvghadi, Mohammad Ali

    Published 2021
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  17. 17
    Effect Of The Addition Of Wastepaper To Concrete Mix

    Effect Of The Addition Of Wastepaper To Concrete Mix by Shukeri, Ritzawaty Mohamad

    Published 2009
    “…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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  18. 18
    Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter

    Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter by Solouk, Vahid, Taghizadeh, Hamid, Moghanjoughi, Ayyoub Akbari, Razm, S. K.

    Published 2013
    “…Using wireless sensor networks to track the position of a moving object in a 3-D spatial model requires precise information of location and speed of the object, which in turn demands for accuracy in state estimation of distributed Kalman filter. …”
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  19. 19
    NEUCOMP2 - parallel neural network compiler

    NEUCOMP2 - parallel neural network compiler by Sulaiman, Md. Nasir, Evans, D. J.

    Published 1996
    “…A parallel neural network compiler (NEUCOMP2) for a shared-memory parallel machine has been implemented by introducing parallelism in NEUCOMP. …”
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  20. 20
    Development of an automatics parallel parking system for nonholonomic mobile robot

    Development of an automatics parallel parking system for nonholonomic mobile robot by Mohd Fairuz , Abdollah, Syed Najib , Syed Salim, Irma Wani , Jamaludin, Muhammad Nizam , Kamarudin

    Published 2011
    “…A PIC32MX360F512L microcontroller is used in order to generate the algorithm and control the movement of the mobile robot. …”
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