Search Results - (( java application modified algorithm ) OR ( using creative extraction algorithm ))

  • Showing 1 - 14 results of 14
Refine Results
  1. 1
  2. 2

    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

    Published 2017
    “…In this hybrid algorithm, convolutional neural network is modified for the extraction of features, a t-test is used for the selection of significant features and likelihood ratio-based score fusion is used for the prediction of brain activity. …”
    Get full text
    Get full text
    Article
  3. 3

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…A GUI is created in a form of JAVA application to display data detected from tag. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

    Published 2016
    “…The algorithm is implemented as a plugin. It does not interfere with the web application original code. …”
    Get full text
    Get full text
    Conference or Workshop Item
  5. 5

    FEATURES EXTRACTION OF FINGERPRINTS BASED ON HYBRID PARTICLE SWARM OPTIMIZATION AND BAT ALGORITHMS by Ahmed A.L., Hassoon N., Hak L.A.L., Edan M., Abed H., Abd S.

    Published 2023
    “…That means the hybrid (PSO-BA) algorithm has the better results, which means it can be used as one of the best search approaches to extract features from fingerprints � 2022, Authors. …”
    Article
  6. 6
  7. 7

    Songket pattern classification using backpropagation neural network / Nik Aidil Syawalni Nik Mazlan by Nik Mazlan, Nik Aidil Syawalni

    Published 2024
    “…The process included data pre-processing and feature extraction. The BPNN algorithm was implemented to proficiently identify and classify Songket pattern, and the evaluation involved analyzing predicted results with different data splitting ratios, such as 70:30 and 80:20. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Automated music chord recognition system using Convolutional Neural Network (CNN) / Abdul Qhadir Jailani Azhari by Azhari, Abdul Qhadir Jailani

    Published 2025
    “…To overcome these issues, the study uses CNNs to extract features and enhance chord identification performance. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11

    Prognostic Health Management of Pumps Using Artificial Intelligence in the Oil and Gas Sector: A Review by Aliyu, R., Mokhtar, A.A., Hussin, H.

    Published 2022
    “…Field data have frequently been used to create experimental datasets and simulated data. …”
    Get full text
    Get full text
    Article
  12. 12

    Potential issues in novel computational research: artificial immune systems by Iqbal, Anjum, Maarof, Mohd. Aizaini

    Published 2003
    “…The dramatic features of HIS like distributability, uniqueness, adaptability, mobility, imperfect-detection, and anomaly-detection, have grabbed the attention of computational researchers for adopting HIS principles to design AIS that are robust, scalable, highly flexible, resilient to sub-versioning, and degrade gracefully. Designers of AIS make use of their creative abilities for designing computational systems by extracting corresponding metaphors from HIS. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    HYBRID SELECTION FRAMEWORK FOR CLASS BALANCING APPROACHES BASED ON INTEGRATED CNN AND DECISION MAKING TECHNIQUES FOR LUNG CANCER DIAGNOSIS by Jassim M.M., Jaber M.M.

    Published 2023
    “…The IQ-OTHNCCD dataset that has a class imbalance was used. Three class balancing techniques were used separately and the data from each one enters the proposed convolutional neural network for feature extraction and classification. …”
    Article
  14. 14

    DEVELOPMENT OF PREDICTIVE MODELING AND DEEP LEARNING CLASSIFICATION OF TAXI TRIP TOLLS by Al-Shoukry S., Jawad B.J.M., Musa Z., Sabry A.H.

    Published 2023
    “…Commercial navigation includes a wealth of trip-related data, including distance, expected journey time, and tolls that may be encountered along the way. Using a classification algorithm, it is possible to extract drop-off and pickup locations from taxi trip data and estimate if the tour would incur tolls. …”
    Article