Search Results - (( construct detection mining algorithm ) OR ( java data normalization algorithm ))

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  1. 1

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Even a normal people using clustering to grouping their data. …”
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    Thesis
  2. 2

    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

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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  4. 4

    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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    Article
  5. 5

    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
  6. 6

    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
  7. 7

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  8. 8

    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
  9. 9

    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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  10. 10

    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
  11. 11

    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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  12. 12

    Challenges of hidden data in the unused area two within executable files by Naji, Ahmed Wathik, Zaidan, A.A., Zaidan, B.B.

    Published 2009
    “…The designed algorithms were intended to help in proposed system aim to hide and retract information (data file) with in unused area 2 of any execution file(exe.file). …”
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    Article
  13. 13

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

    Published 2017
    “…Two sets of experimental data involving 20 diabetic patients and 20 healthy subjects were collected from CITO laboratory Semarang Central Java, Indonesia. …”
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    Thesis