Search Results - (( java segmentation using algorithm ) OR ( using misuse using algorithm ))

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  1. 1

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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    Thesis
  2. 2

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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    Book
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    Campus hybrid intrusion detection system using SNORT and C4.5 Algorithm by Slamet, ., Izzeldin, I. Mohd, Fahmi, Samsuri

    Published 2020
    “…The basis of misused detection module is snort, and anomaly detection module is constructed by using Algorithm C4.5 detectors. …”
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    Conference or Workshop Item
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    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Misuse detection algorithms model know attack behavior. …”
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    Monograph
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    Prediction of novel doping agent through the integration of chemical and biological data using in silico method by Mohd Rosman, Nurul Ain

    Published 2016
    “…Hence, in silica method can be used to predict potential doping agents in a timely and efficient manner and consequently prevent the widespread of misused of doping agent.…”
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    Student Project
  9. 9

    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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    Conference or Workshop Item
  10. 10

    Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudin

    Published 2025
    “…Using a qualitative approach such as content analysis, findings reveal that platform algorithms contribute to misinformation, confusion, and a distorted understanding of Halal principles. …”
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    Article
  11. 11

    Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudi

    Published 2025
    “…Using a qualitative approach such as content analysis, findings reveal that platform algorithms contribute to misinformation, confusion, and a distorted understanding of Halal principles. …”
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    Article
  12. 12

    In silico prediction of novel doping agent through the integration of chemical and phenotypic data by Raduan, Muhammad Artif

    Published 2016
    “…In conclusion, the in silico prediction model which integrates chemical and phenotypic data can possibly be used to predict novel doping agent hence preventing the misused by athletes.…”
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    Student Project
  13. 13

    Improved Malware detection model with Apriori Association rule and particle swarm optimization by Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah

    Published 2019
    “…In this method, the candidate detectors generated by particle swarm optimization form rules using apriori association rule. These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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    Article
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    An improved framework for content and link-based web spam detection: a combined approach by Shahzad, Asim

    Published 2021
    “…The link-based web spam detection framework initially exposed the relationship network behind the link spamming and then used the paid-links database algorithm, spam signals algorithm, and improved link farms algorithm for link-based web spam identification. …”
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    Thesis
  16. 16

    State-of-the-art in techniques of text digital watermarking: challenges and limitations by Al-Maweri, Nasr Addin Ahmed Salem, Ali, Roslizah, Wan Adnan, Wan Azizun, Ramli, Abd Rahman, Syed Ahmad Abdul Rahman, Sharifah Mumtazah

    Published 2016
    “…Hence, research to improve the performance of text watermarking algorithms is required. This paper reviews current watermarking algorithms for text documents and categorizes text watermarking methods based on the way the text was treated during the watermarking process. …”
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    Article
  17. 17

    Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System by Ahmad, A, Zainuddin, WS, Kama, MN, Idris, NB, Saudi, MM

    Published 2024
    “…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
    Proceedings Paper
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    Cloud co-residency denial of service threat detection inspired by artificial immune system by Ahmad, Azuan, Zainudin, Wan Shafiuddin, Kama, Mohd Nazri, Idris, Norbik Bashah, Mohd Saudi, Madihah

    Published 2018
    “…A review of the literature shows that there is still a lack of works on cloud IDS that focused on implementing real-time hybrid detections using Dendritic Cell algorithm (DCA) as a practical approach. …”
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    Proceeding Paper
  20. 20

    Image Splicing Detection With Constrained Convolutional Neural Network by Lee, Yang Yang

    Published 2019
    “…It is shown that CNN with constrained convolution algorithm can be used as a general image splicing detection task.…”
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    Thesis