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    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…The main contribution of this research is developing statistical approaches, and introducing new algorithms and resampling methods for analysing interval-censored data through AFT models.…”
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    Thesis
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    Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image by Samsudin, Sarah Hanim

    Published 2016
    “…Hence, the development of new approach is indispensable to improve the within-class roofing materials mapping. …”
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    Thesis
  7. 7

    Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea by Sim, Doreen Ying Ying

    Published 2018
    “…OSA. The prediction algorithms developed are based on the OSA datasets collected mainly from the public hospitals in Selangor, Malaysia. …”
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    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
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
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    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

    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
  10. 10

    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
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
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    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
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
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    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
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
  13. 13

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

    Published 2023
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
  14. 14

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

    Published 2023
    “…This paper systematically reviews the existing related techniques and presents extensive coverage of challenges and perspectives of anomaly detection within highdimensional and multivariate data. At the same time, it provides a clear insight into the techniques developed for anomaly detection problems. …”
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    Article
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    DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

    Published 2015
    “…Biomedical statistical researchers have experimented algorithms to achieve findings and associations within the aspects of the data given. …”
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    Final Year Project
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    Preliminary analysis of malware detection in opcode sequences within IoT environment by Ahmed, Firas Shihab, Mustapha, Norwati, Mustapha, Aida, Kakavand, Mohsen, Mohd Foozy, Cik Feresa

    Published 2020
    “…This development is opening to many security and privacy challenges that can cause complete network breakdown, bypassed access control or the loss of critical data. …”
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    A novel hierarchical clustering algorithm for the analysis of 3D anthropometric data of the human head by Ellena, Thierry, Subic, Aleksandar, Mustafaa, Helmy, Yen, Pang Toh

    Published 2018
    “…A novel hierarchical algorithm was developed, in which a squared Euclidean metric was used to assess the head shape similarity of participants. …”
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    Article
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    Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection by Ahmed Khan, Fazeel, Abubakar, Adamu

    Published 2024
    “…The data was gathered using real-time packet capturing tools which were then processed and moved with model development using different deep learning algorithms such as, LSTM, MLP, RNN and Autoencoders. …”
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    New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems by Nor Shuhada, Ibrahim

    Published 2024
    “…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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    Thesis
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    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks by Husni, Muhammed Ihsan

    Published 2018
    “…Therefore, the main contribution of this thesis is to study the performances of different algorithms that can reduce the number of data packets transmitted by sensor nodes within the WSN. …”
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    Thesis