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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…We focus on the outlier detection and background subtraction on image. This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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    Thesis
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  2. 2
    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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    Monograph
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  3. 3
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Book
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  4. 4
    A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications

    A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications by Usmani, U.A., Happonen, A., Watada, J.

    Published 2022
    “…Unsupervised learning, also known as unsupervised machine learning, analyzes and clusters unlabeled data utlizing machine learning techniques. Without human input, these algorithms discover patterns or groupings in the data. …”
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  5. 5
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
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    Thesis
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  6. 6
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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    Proceeding Paper
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  7. 7
    Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas

    Pengesanan minutiae imej cap jari berskala kelabu menggunakan algoritma susuran batas by Sulong, Siti Masrina

    Published 2002
    “…A reversing technique is proposed in order to detect true end point in the fingerprint image. …”
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  8. 8
    Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm

    Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm by Yap K.S., Abidin I.Z., Ahmad A.R., Hussien Z.F., Pok H.L., Ismail F.I., Mohamad A.M.

    Published 2023
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  9. 9
    Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm

    Immune Multiagent System for Network Intrusion Detection using Non-linear Classification Algorithm by Mohamed, M. E, Samir, B. B., Azween, Abdullah

    Published 2010
    “…In this work, we integrate artificial immune algorithm with non-linear classification of pattern recognition and machine learning methods to solve the problem of intrusion detection in network systems. …”
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    Citation Index Journal
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  10. 10
    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
    “…Clustering is one of the promising techniques used in Anomaly Intrusion Detection (AID), especially when dealing with unknown patterns. …”
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  11. 11
    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. …”
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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, 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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  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 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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  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 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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  18. 18
    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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  19. 19
    Cabbage disease detection system using k-NN algorithm

    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…It is a method of extracting second-order statistical texture features to detect diseases more efficiently. Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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    Academic Exercise
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  20. 20
    A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data

    A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data by Suboh, Syahirah, Abdul Aziz, Izzatdin, Shaharudin, Shazlyn Milleana, Ismail, Saidatul Akmar, Mahdin, Hairulnizam

    Published 2023
    “…At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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