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  1. 1
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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  2. 2
    A study on advanced statistical analysis for network anomaly detection

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
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    Monograph
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  3. 3
    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti

    Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti by Abd Mukti, Shahrul Nizan

    Published 2022
    “…It is necessary in estimating a logistic need which can help Authorities in distribute their budget projection. …”
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  4. 4
    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis

    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis by Siti Nur Hidayah, Mazelan

    Published 2022
    “…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
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  5. 5
    Arima model time-series forecasting for structural monitoring using RTK-GPS

    Arima model time-series forecasting for structural monitoring using RTK-GPS by Anshah, Siti Aminah, Ahmad, Anuar, Mat Amin, Zulkarnaini

    Published 2008
    “…This technique analyzed the response of the object or structure’s response in the time domain. In this paper, a time series algorithm is presented for damage identification and forecasting to detect any movement of the structure. …”
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  6. 6
    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff

    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff by Mohd Yusoff, Mohd Izhan

    Published 2014
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  7. 7
    Moiré Method Based Tilt Sensing System For Landslides Monitoring Using Raspberry PI

    Moiré Method Based Tilt Sensing System For Landslides Monitoring Using Raspberry PI by Toh, Han Yaung

    Published 2019
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    Monograph
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  8. 8
    Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution

    Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution by Nokhanji, Nooshin

    Published 2014
    “…Therefore, in this study, a new algorithm called Scheduled-Activity Energy Aware Distributed Clustering (SA-EADC) is proposed. …”
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  9. 9
    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi

    Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi by Saleh Al-Shalabi, Abdullah

    Published 2014
    “…The third demonstrated algorithm is a power aware k-coverage algorithm for WSNs with adjustable sensing range. …”
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  10. 10
    A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution

    A scheduled activity energy aware distributed clustering algorithm for wireless sensor networks with nonuniform node distribution by Nokhanji, Nooshin, Mohd Hanapi, Zurina, Subramaniam, Shamala, Mohamed, Mohamad Afendee

    Published 2014
    “…Therefore, in this paper, a new algorithm called scheduled activity EADC (SA-EADC) is proposed. …”
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  11. 11
    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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  12. 12
    Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms

    Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms by Ahmed, Tarem, Ahmed, Supriyo, Pathan, Al-Sakib Khan

    Published 2014
    “…This paper demonstrates the applicability of a selection of such algorithms to a distributed network of wireless sensors. …”
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  13. 13
    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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  14. 14
    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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  15. 15
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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  16. 16
    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
    “…Our algorithm, a single-phase single initiator (SPSI), only requires a single phase to construct a CDS in a distributed manner using localized information. …”
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  17. 17
    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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  18. 18
    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks

    A Distributed Topology Control Method for Improving Energy Efficiency of Wireless Sensor Networks by Abd Aziz, Azrina, Sekercioglu, Ahmet

    Published 2012
    “…We present a distributed topology control method that builds a virtual backbone in a wireless sensor network (WSN). …”
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  19. 19
    DISTRIBUTIVE AND SELF-SUSTAINABLE SCHEDULING ALGORITHMS FOR WIRELESS SENSOR NETWORKS

    DISTRIBUTIVE AND SELF-SUSTAINABLE SCHEDULING ALGORITHMS FOR WIRELESS SENSOR NETWORKS by SHEIKH, MUHAMMAD AMAN

    Published 2014
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  20. 20
    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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