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  1. 1
    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis

    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

    Published 2021
    “…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
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  2. 2
    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
    “…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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  3. 3
    Two-factor authentication smart entryway using modified LBPH algorithm

    Two-factor authentication smart entryway using modified LBPH algorithm by Ayop, Zakiah, Othman, Nur Fadzilah, Anawar, Syarulnaziah, Wan Mohamad Rosdi, Wan Mohamad Hariz, Looi, Wei Hua

    Published 2024
    “…The system employs the Local Binary Patterns Histograms for the full face recognition algorithm and modified LBPH algorithm for occluded face detection. …”
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  4. 4
    Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection

    Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection by Almazini, Hussein

    Published 2022
    “…Thus, this study proposes an enhanced binary grey wolf optimiser (EBGWO) algorithm for FS in anomaly detection to overcome the algorithm issues. …”
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  5. 5
    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
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  6. 6
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Joret, Ariffuddin Joret, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  7. 7
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Jore, Ariffuddin Jore, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  8. 8
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Liew Abdullah, Muhammad Faiz, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  9. 9
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  10. 10
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  11. 11
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Ariffuddin Joret, Ariffuddin Joret, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  12. 12
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Ahmed, Sajjad, Joret, Ariffuddin, Katiran, Norshidah, Abdullah, Muhammad Faiz Liew, Zakaria, Zahriladha, Sulong, Muhammad Suhaimi

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  13. 13
    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization

    An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

    Published 2019
    “…Firstly, to detect the source, a Source Detection Algorithm (SDA) known as a Distributed Lévy Flight (DLF) is proposed. …”
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  14. 14
    Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling

    Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling by Zulaiha Ali Othman, Afaf Muftah Adabashi, Suhaila Zainudin, Saadat M. Al Hashmi

    Published 2011
    “…The result has shown that this algorithm has increased the detection rate and reduced the false alarm rate compared with Fuzzy-ART.…”
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  15. 15
    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
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  16. 16
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Sajjad Ahmed, Sajjad Ahmed, Ariffuddin Joret, Ariffuddin Joret, Norshidah Katiran, Norshidah Katiran, Muhammad Faiz Liew Abdullah, Muhammad Faiz Liew Abdullah, Zahriladha Zakaria, Zahriladha Zakaria, Muhammad Suhaimi Sulong, Muhammad Suhaimi Sulong

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  17. 17
    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application

    Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application by Sajjad Ahmed, Sajjad Ahmed, Ariffuddin Joret, Ariffuddin Joret, Norshidah Katiran, Norshidah Katiran, Muhammad Faiz Liew Abdullah, Muhammad Faiz Liew Abdullah, Zahriladha Zakaria, Zahriladha Zakaria, Muhammad Suhaimi Sulong, Muhammad Suhaimi Sulong

    Published 2023
    “…Furthermore, an algorithm for hidden target detection has been developed. …”
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  18. 18
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  19. 19
    Classification of herbs plant diseases via hierarchical dynamic artificial neural network

    Classification of herbs plant diseases via hierarchical dynamic artificial neural network by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2010
    “…This paper is to propose an unsupervised diseases pattern recognition and classification algorithm that is based on a modified Hierarchical Dynamic Artificial Neural Network which provides an adjustable sensitivity-specificity herbs diseases detection and classification from the analysis of noise-free colored herbs images. …”
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  20. 20
    Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region

    Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Mohd, Nuruol Syuhadaa, Deo, Ravinesh C., El-Shafie, Ahmed

    Published 2018
    “…Existing forecast models applied for reservoir inflow forecasting encounter several drawbacks, due to the difficulty of the underlying mathematical procedures being to cope with and to mimic the naturalization and stochasticity of the inflow data patterns. In this study, appropriate adjustments to the conventional coactive neuro-fuzzy inference system (CANFIS) method are proposed to improve the mathematical procedure, thus enabling a better detection of the high nonlinearity patterns found in the reservoir inflow training data. …”
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