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  1. 1
    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim

    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

    Published 2024
    “…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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  2. 2
    Applying learning to filter text

    Applying learning to filter text by Sainin, Mohd Shamrie

    Published 2005
    “…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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  3. 3
    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks

    Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks by Abualsaud, Khalid, Mahmuddin, Massudi, Saleh, Mohammad, Mohamed, Amr

    Published 2014
    “…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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  4. 4
    Multilingual Sentiment Analysis From Students Feedback: Optimal Techniques And Resources For Bengali Lingual Data

    Multilingual Sentiment Analysis From Students Feedback: Optimal Techniques And Resources For Bengali Lingual Data by Mohammad Aman Ullah

    Published 2024
    thesis::doctoral thesis
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  5. 5
    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation

    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

    Published 2009
    “…The experimental results show the proposed algorithm is simple and robust, for real time application on vision based mobile robot for navigation, in spite of presence of other shapes and colors in the environment …”
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  6. 6
    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain

    Cooperative spectrum sensing based on machine learning in cognitive radio vehicular network / Mohammad Asif Hossain by Mohammad Asif , Hossain

    Published 2022
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  7. 7
    Applying Bayesian probability for Android malware detection using permission features

    Applying Bayesian probability for Android malware detection using permission features by Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif, Azlee, Zabidi

    Published 2021
    “…The experiments conducted using chi-square as an algorithm and Naïve Bayes as a classifier. …”
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  8. 8
    A comparative study in classification techniques for unsupervised record linkage model

    A comparative study in classification techniques for unsupervised record linkage model by Ektefa, Mohammadreza, Sidi, Fatimah, Ibrahim, Hamidah, A. Jabar, Marzanah, Memar, Sara

    Published 2011
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  9. 9
    Customer sentiment analysis through social media feedback

    Customer sentiment analysis through social media feedback by Siti Nur Syamimi, Mat Zain

    Published 2022
    “…The data were then split into training and testing to be tested on the three different supervised learning algorithms used in this study which are Support Vector Machine, Random Forest, and Naïve Bayes. …”
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    Undergraduates Project Papers
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  10. 10
    Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance

    Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Rafrastara, Fauzi Adi, Ghozi, Wildanil, Sani, Ramadhan Rakhmat, Handoko, Lekso Budi, Abdussalam, Abdussalam, Pramudya, Elkaf Rahmawan, M. Abdollah, Faizal

    Published 2025
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  11. 11
    Fake news detection: A machine learning approach

    Fake news detection: A machine learning approach by Yeoh, Dennis Guan Lee

    Published 2021
    “…These models were evaluated in order to pick one to be deployed to the web application. The final model chosen to be deployed was a model trained using a Multinomial Naïve Bayes algorithm.…”
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    Final Year Project / Dissertation / Thesis
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  12. 12
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Based on the theoretical and fundamental research analysis the FUHS16 and UHDS16 algorithms using 16 × 16 block-based motion estimation formulations were developed. …”
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  13. 13
    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

    Published 2014
    “…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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  14. 14
    Multi-base number representation in application to scalar multiplication and pairing computation

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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  15. 15
    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm

    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

    Published 2006
    “…The purpose of this project is to implement FPGA Base Encryption Chip using DES algorithm. Throughout the project, the suitability of the implementation DES algorithm in FPGA will be investigated. …”
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    Monograph
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  16. 16
    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    Published 2007
    “…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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  17. 17
    Compiler-based prefetching algorithm for recursive data structure

    Compiler-based prefetching algorithm for recursive data structure by Anuar, Nurulhaini

    Published 2007
    “…This project investigates compiler-based prefetching for pointer based applications particularly those containing Recursive Data Structures (RDS) and designs the proposed algorithm. …”
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  18. 18
    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION

    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…In order to overcome latency problem, this research is an attempt to suggest a new prediction algorithm based on heuristic that could be used to develop a more effective and general system for virtual training applications. …”
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  19. 19
    Image Encrytion Using Block Based Transformation Algorithm

    Image Encrytion Using Block Based Transformation Algorithm by Bani Younes, Mohammad Ali, Jantan, Aman

    Published 2008
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  20. 20
    A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali

    A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali by Hilyati Hanina, Zazali

    Published 2012
    “…The algorithms work by arranging parameters using finite field group in elliptic curve E. …”
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