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  1. 1
    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals by Too, Jing Wei

    Published 2020
    “…In this regard, this thesis proposes five FS methods for efficient EMG signals classification. The first method is the Binary Tree Growth Algorithm (BTGA), which implements a hyperbolic tangent function to convert the Tree Growth Algorithm into the binary version. …”
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  2. 2
    Intersection Features For Android Botnet Classification

    Intersection Features For Android Botnet Classification by Ismail, Najiahtul Syafiqah, Yusof, Robiah, Saad, Halizah, Abdollah, Mohd Faizal, Yusof, Robiah

    Published 2019
    “…This paper proposed an enhancement approach for Android botnet classification based on features selection and classification algorithms. …”
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  3. 3
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
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  4. 4
    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization

    EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization by Too, Jing Wei, Tee, Wei Hown, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

    Published 2019
    “…In order to measure the effectiveness of PBPSO, binary particle swarm optimization (BPSO), genetic algorithm (GA), modified binary tree growth algorithm (MBTGA), and binary differential evolution (BDE) were used for performance comparison. …”
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  5. 5
    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level

    Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

    Published 2024
    thesis::doctoral thesis
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  6. 6
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, Abdul Rehman, Jaafar, Jafreezal, Capretz, Luiz Fernando, Omar, Mazni, Basri, Shuib, Abdul Aziz, Izzatdin

    Published 2017
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  7. 7
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

    Published 2018
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  8. 8
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

    Published 2018
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  9. 9
    User-Device Authentication Model With Digital Certificate For Smartphone User

    User-Device Authentication Model With Digital Certificate For Smartphone User by Sakiinah binti Altaf Hussain

    Published 2024
    thesis::master thesis
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  10. 10
    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm

    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm by Nur Alya Afikah, Usop

    Published 2024
    “…By dispersing the numbered original data as far away from the original locations as feasible, the strategies made use of specific numbering systems. Similar processes are used in the generation and embedding phases of a watermark. …”
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  11. 11
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad by Ahmad, Nurul Atirah

    Published 2023
    “…Thus, this project aims to classify and generate a list of potential job applicants by analyzing various attributes of their LinkedIn accounts, such as title, location, skills, education, language, certification, and experience. This project implements the Naive Bayes algorithm as the classification algorithm. …”
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  12. 12
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad Kushairi

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad... by Ahmad, Nurul Atirah, Abu Samah, Khyrina Airin Fariza, Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…The recruitment process is vital for organizations. In the digital era, social media platforms like LinkedIn have become famous for recruitment, and recruiters widely use them to find potential employees. …”
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  13. 13
    Exploring classification for sentiment analysis from halal based tweets

    Exploring classification for sentiment analysis from halal based tweets by Setik, Roziyani, Raja Lope Ahmad, Raja Mohd Tariqi, Marjudi, Suziyanti

    Published 2021
    “…It usually assigns a polarity of “positive”, “negative” or “neutral”. It uses an algorithmic technique to capture people's thoughts, sentiments, and emotions by incorporating Natural Language Processing and Machine Learning technology. …”
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  14. 14
    EstiCal: food calorie image recognition mobile application by using feature descriptor technique / Muhammad Asyraf Suhaimi

    EstiCal: food calorie image recognition mobile application by using feature descriptor technique / Muhammad Asyraf Suhaimi by Suhaimi, Muhammad Asyraf

    Published 2018
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  15. 15
    Rabin-p encryption scheme analysis on MQTT

    Rabin-p encryption scheme analysis on MQTT by Che Izam, Wan Abdullah, Syed Adnan, Syed Farid, Asbullah, Muhammad Asyraf

    Published 2023
    “…However, Rabin-p offers a lower processing algorithm. A conclusion can be made that using Rabin-p in MQTT can help improve the payload security since Rabin-p offers a complex algorithm which is it harder to decrypt the messages when communicating between devices. …”
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  16. 16
    Speech dereverberation enhancement

    Speech dereverberation enhancement by Khalifa, Othman Omran, Hasmad, Safiyah, Abdul Malik, Noreha

    Published 2020
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  17. 17
    Reliable access control for mobile cloud computing (MCC) with cache-aware scheduling

    Reliable access control for mobile cloud computing (MCC) with cache-aware scheduling by Jamal, Fara, Abdullah, Mohd Taufik, Mohd Hanapi, Zurina, Abdullah, Azizol

    Published 2019
    “…However, most of the ABE used single certification authority (CA) and disjoint attribute authority (AA) to verify user identity which can be a single point of failure. …”
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  18. 18
    Employing Public Key Infrastructure to Encapsulate Messages During Transport Layer Security Handshake Procedure

    Employing Public Key Infrastructure to Encapsulate Messages During Transport Layer Security Handshake Procedure by Nayeem Ahmad, Khan, Adnan Shahid, Khan, Seleviawati, Tarmizi, Azlina, Ahmadi Julaihi, Zeeshan, Ahmad

    Published 2022
    “…These protocols have been successfully used to protect World Wide Web communication between a client and a server that has been encoded using the HTTP protocol for many years. …”
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  19. 19
    An investigation into influence factor of student programming grade using association rule mining

    An investigation into influence factor of student programming grade using association rule mining by Mohamad Mohsin, Mohamad Farhan, Abd Wahab, Mohd Helmy, Zaiyadi, Mohd Fairuz, Hibadullah, Cik Fazilah

    Published 2010
    “…The dataset consisting of 4 19 records with 70 attributes were pre-processed and then mined using directed association rule mining algorithm namely Apriori. …”
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  20. 20
    Traffic congestion detection for smart and control transportation management

    Traffic congestion detection for smart and control transportation management by Khalifa, Othman Omran, Marzuki, Azri A., Abdul Malik, Noreha, Hassan Gani, Mohammad H.

    Published 2020
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