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  1. 1
    Jogging activity recognition using k-NN algorithm

    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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    Academic Exercise
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  2. 2
    BRAIN ACTIVITIES FOR MOTOR MOVEMENT

    BRAIN ACTIVITIES FOR MOTOR MOVEMENT by ., WAFAA ELSAYED ELBASTY

    Published 2012
    “…Feature vectors are used to differentiate the different brain activity signals associated with the user’s attention, Linear Discriminate Linear (LDA) method is used in feature classification step to achieve these goals. …”
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    Final Year Project
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  3. 3
    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
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    Conference or Workshop Item
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  4. 4
    An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.]

    An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.] by Rastogi, Sarthak, Shrotriya, Archit, Singh, Mitul Kumar, Potukuchi, Raghu Vamsi

    Published 2022
    “…From the past few years, Intrusion Detection Systems (IDS) are employed as a second line of defence and have shown to be a useful tool for enhancing security by detecting suspicious activity. …”
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    Article
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  5. 5
    Comparison on machine learning algorithm to fast detection of malicious web pages

    Comparison on machine learning algorithm to fast detection of malicious web pages by Wan Nurul Safawati, Wan Manan, Mohd Nizam, Mohmad Kahar, Noorlin, Mohd Ali

    Published 2021
    “…However, this has exposed to the malicious activities and online threat to the users which will disrupt the method of every system and performance. …”
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    Conference or Workshop Item
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  6. 6
    A new ant based rule extraction algorithm for web classification

    A new ant based rule extraction algorithm for web classification by Ku-Mahamud, Ku Ruhana, Saian, Rizauddin

    Published 2011
    “…Methods to reduce the number of attributes and discretization are two important data pre-processing steps before the data can be used for classification activity. …”
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    Monograph
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  7. 7
    Analysis Of Personal Protective Equipment Classification Method Using Deep Learning

    Analysis Of Personal Protective Equipment Classification Method Using Deep Learning by Siti Zahrah Nur Ain, Silopung

    Published 2022
    “…This classification is performed using Anaconda and Jupyter Notebok Software that use Python as the programming language. …”
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    Undergraduates Project Papers
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  8. 8
    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control

    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control by Mohd Hanafi, Muhammad Sidik

    Published 2020
    “…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
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    Thesis
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  9. 9
    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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    Thesis
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  10. 10
    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
    “…An Intrusion Detection System is software or application which is used to detect thread, malicious activities and the unauthorized access to the computer system and warn the administrators by generating alarms. …”
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    Thesis
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  11. 11
    Smart phone sensor data: Comparative analysis of various classification methods for task of human activity recognition

    Smart phone sensor data: Comparative analysis of various classification methods for task of human activity recognition by Tanveer Abbas Gadehi, Faheem Yar Khuhawar, Ahmed Memon, Kashif Nisar

    Published 2018
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    Proceedings
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  12. 12
    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri

    Face recognition using PZMI, ANN and Ant colony algorithms / Milad Miri by Milad , Miri

    Published 2018
    “…This system has many usages in security system and also can be used for authentication, person verification, video surveillance, preventing crime, and security activities. …”
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    Thesis
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  13. 13
    An efficient IDS using hybrid Magnetic swarm optimization in WANETs

    An efficient IDS using hybrid Magnetic swarm optimization in WANETs by Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Experimental results show that using our proposed IDS based on hybrid MOA-PSO technique provides more accuracy level compared to the use of ANN based on MOA, PSO and genetic algorithm. …”
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    Article
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  14. 14
    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis

    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis by Ghazali, K. H., Mohd Falfazli, Mat Jusof, Muhammad, Badaruddin, Jadin, Mohd Shawal

    “…The performance of these segmentation algorithms are measured using misclassification error. …”
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    Research Report
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  15. 15
    Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier

    Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier by Hassan, Raini, Taha Alshaikhli, Imad Fakhri, Ahmad, Salmiah

    Published 2017
    “…The data stored or collected from these digital activities can be so large or complex, and caused the traditional data processing algorithms or software to be inadequate when used to process them. …”
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    Article
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  16. 16
    Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI

    Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI by Ramli, Zarina

    Published 2024
    “…This study investigates the efficacy of staging classification using diffusion-weighted imaging magnetic resonance imaging (DWIMRI) through radiomic analysis and machine learning. …”
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    Thesis
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  17. 17
    Visual codebook analysis in image understanding / Hoo Wai Lam

    Visual codebook analysis in image understanding / Hoo Wai Lam by Hoo, Wai Lam

    Published 2015
    “…However, attributes need extensive human annotation to perform. The proposed method performs zero-shot learning using a newly defined Coarse Class and Fine Class, so that both seen classes and unseen classes can be related. …”
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    Thesis
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  18. 18
    Early detection of high water saturation spots for landslide prediction using thermal image analysis

    Early detection of high water saturation spots for landslide prediction using thermal image analysis by Aufa Huda, Muhammad Zin

    Published 2018
    “…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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    Thesis
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  19. 19
    Diabetes disease prediction system using HNB classifier based on discretization method

    Diabetes disease prediction system using HNB classifier based on discretization method by Al-Hameli, Bassam Abdo, Al-Sewari, Abdul Rahman Ahmed Mohammed, Basurra, Shadi S., Bhogal, Jagdev, Ali, Mohammed A H

    Published 2023
    “…As a result, the discretization method increases the performance and accuracy of the HNB classifier.…”
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  20. 20
    Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli

    Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli by Ramli, Amar Aslam

    Published 2018
    “…Therefore, by the aim of this project is to facilitate and solve the problem by developed FitwithTrainer android application with auto-formation group chat for clients and trainers along with rule-based expert system for classification of trainer in term of trainer’s levels and specialties in website system. Moreover, the algorithm used for rule-based expert system is forward chaining method. …”
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    Student Project
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