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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  2. 2
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  3. 3
    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin

    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

    Published 2012
    “…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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  4. 4
    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network

    A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

    Published 2023
    “…Future research will focus on developing a Software Defined Networking (SDN) management framework, optimizing power management strategies, and exploring diverse network environments to enhance the adaptability and performance of wireless sensor networks.…”
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  5. 5
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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  6. 6
    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning

    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

    Published 2024
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  7. 7
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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  8. 8
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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  9. 9
    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles

    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles by Yaghoobi, Yousef, Bahiki, Muhammad Rijaluddin, Syaril Azrad

    Published 2019
    “…In this paper, a novel approach in developing a Vision System as the primary sensor for relative positioning in flight formation of a Leader-Follower scenario is introduced. …”
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  10. 10
    Designated Path Routing Algorithm For Dense Wireless Sensor Network

    Designated Path Routing Algorithm For Dense Wireless Sensor Network by Subramaniam, Siva Kumar, Ikhwan Lee, Mohamad Yusry Lee, Feroz, Farah Shahnaz, Azman, Amierul Syazrul Azril

    Published 2021
    “…The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. …”
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  11. 11
    Multi-Agent Reinforcement Learning For Swarm Robots Formation

    Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

    Published 2021
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  12. 12
    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network

    Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network by Jahan, Mohammad Saukat

    Published 2015
    “…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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  13. 13
    Energy-efficient ant colony based leach routing algorithm in wireless sensor network

    Energy-efficient ant colony based leach routing algorithm in wireless sensor network by Muhammad Zahir Abd Latif, Kit Guan Lim, Min Keng Tan, Helen Sin Ee Chuo, Tienlei Wang, Kenneth Tze Kin Teo

    Published 2022
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  14. 14
    Novel detection soft-computing algorithm for structural health monitoring system

    Novel detection soft-computing algorithm for structural health monitoring system by Ng, Kian Theng

    Published 2013
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  15. 15
    Region-based Energy-aware Clustering (REC) for Efficient Packet Forwarding in WSN

    Region-based Energy-aware Clustering (REC) for Efficient Packet Forwarding in WSN by Nazir, Babar, Hasbullah, Halabi

    Published 2010
    “…Energy (battery) of the sensor node is considered as the scarcest resource in Wireless Sensor Network (WSN), hence a communication protocol that efficiently uses the limited energy must be developed. …”
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  16. 16
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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  17. 17
    Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network

    Stability improvement low energy adaptive clustering hierarchy routing (sileach) protocol for wireless sensor network by Jasim, Al-Haddad Zaid Ali

    Published 2017
    “…Wireless Sensor networks (WSN) consist of a large number of homogeneous or heterogeneous sensor nodes. …”
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  18. 18
    Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network

    Stability improved of improved low energy adaptive clustering hierarchy routing protocol for wireless sensor network by Sabah Talib, Al-Zubaidi Ammar

    Published 2017
    “…Wireless Sensor networks (WSN) consist of a large number of homogeneous or heterogeneous sensor nodes. …”
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  19. 19
    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot

    Enhancing navigation accuracy of Turtlebot3 Burger mobile robot by Muhammad Haniff, Gusrial, Muhammad Luqman Hakim, Abdullah, Nur Aqilah, Othman, Hamzah, Ahmad

    Published 2024
    “…Different sources of sensor information are fused into a single representational format called sensor fusion. …”
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  20. 20
    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
    “…These data are processed and stored in appropriate formats in a MySQL server database. Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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