Search Results - (( construct detection mining algorithm ) OR ( java adaptation optimization algorithm ))

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    Finding objects with segmentation strategy based multi robot exploration in unknown environment by Arezoumand, Reza, Mashohor, Syamsiah, Marhaban, Mohammad Hamiruce

    Published 2013
    “…The aim of exploration in unknown environment is finding target points like mine detection in outdoor environment without any positioning device. …”
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    Article
  3. 3

    Application of target detection method based on convolutional neural network in sustainable outdoor education by Yang, Xiaoming, Samsudin, Shamsulariffin, Wang, Yuxuan, Yuan, Yubin, Tengku Kamalden, Tengku Fadilah, Yaakob, Sam Shor Nahar

    Published 2023
    “…Next, the dataset of the specific underwater target image is further constructed. The acquisition system of underwater camera information of manned submersibles is designed through the Single Shot-MultiBox Detector algorithm of deep learning. …”
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  4. 4

    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin by Nasaruddin, Syazwani

    Published 2017
    “…WEKA is a set of machine learning algorithm for data mining task. The data are clustered to determine emphasized and non-emphasized words. …”
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    Thesis
  5. 5

    A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework by Udzir, Nur Izura, Hajamydeen, Asif Iqbal

    Published 2019
    “…Observing network traffic flow for anomalies is a common method in Intrusion Detection. More effort has been taken in utilizing the data mining and machine learning algorithms to construct anomaly based intrusion detection systems, but the dependency on the learned models that were built based on earlier network behaviour still exists, which restricts those methods in detecting new or unknown intrusions. …”
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    Article
  6. 6

    An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach by Mohamed Yassin, Warusia

    Published 2015
    “…Detection methods based on statistical and data mining techniques are widely deployed as anomaly-based detection system (ADS). …”
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    Thesis
  7. 7

    Unapparent information revelation for counterterrorism: Visualizing associations using a hybrid graph-based approach by Zamin, Norshuhani, Oxley, Alan

    Published 2012
    “…It focuses on detecting possible links between concepts across multiple text documents by generating a graph that matches the evidence trail found in the documents. …”
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    Conference or Workshop Item
  8. 8

    Detection of low metal landmines using EMI by Azman, Amzarul Faris, Abdul Rahim, Ruzairi, Abdul Rahim, Herlina, Yunus, Yusri, Ahmad, Anita, Md. Yunus, Mohd Amri, Wahid, Herman

    Published 2016
    “…Consequently, EMI sensors that utilize traditional detection algorithms based solely on the metal content suffer from high false alarm rates. …”
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    Book Section
  9. 9

    A Rule-Based Named-Entity Recognition for Malay Articles by Rayner Alfred, Leow, Ching Leong, Chin Kim On, Patricia Anthony, Tan, Soo Fun, Mohd Norhisham Bin Razali, Mohd Hanafi Ahmad Hijazi

    Published 2013
    “…A Named-Entity Recognition (NER) is part of the process in Text Mining used for information extraction. This NER tool can be used to assist user in identifying and detecting entities such as person, location or organization. …”
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  10. 10

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis