Search Results - (( patterns using algorithm ) OR ((( patterns bat algorithm ) OR ( patterns scoping algorithm ))))*

Refine Results
  1. 1

    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

    Published 2021
    “…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
    Get full text
    Get full text
    Monograph
  2. 2
  3. 3

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Naive bayes-guided bat algorithm for feature selection. by Taha, Ahmed Majid, Mustapha, Aida, Chen, Soong Der

    Published 2013
    “…Bio-inspired method called Bat Algorithm hybridized with a Naive Bayes classifier has been presented in this work. …”
    Get full text
    Get full text
    Article
  5. 5

    Bat algorithm for rough set attribute reduction by Taha A.M., Tang A.Y.C.

    Published 2023
    “…In this paper, a new optimization method has been introduced called bat algorithm for attribute reduction (BAAR), the proposed method is based mainly on the echolocation behavior of bats. …”
    Article
  6. 6

    Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm by Farzin, Saeed, Singh, Vijay, Karami, Hojat, Farahani, Nazanin, Ehteram, Mohammad, Kisi, Ozgur, Allawi, Mohammed Falah, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

    Published 2018
    “…Seven performance indexes were examined to evaluate the performance of the proposed Muskingum model integrated with IBA, with other models that were also based on the Muskingum Model with three-parameters but utilized different optimization algorithms. The results for the Wilson flood showed that the proposed model could reduce the Sum of Squared Deviations (SSD) value by 89%, 51%, 93%, 69%, and 88%, compared to the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, Pattern Search (PS) algorithm, Harmony Search (HS) algorithm, and Honey Bee Mating Optimization (HBMO), respectively. …”
    Get full text
    Get full text
    Article
  7. 7

    Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection by Almazini, Hussein

    Published 2022
    “…The second modification develops a new position update mechanism using the Bat Algorithm movement. The third modification improves the controlled parameter of the MBGWO algorithm using indicators from the search process to refine the solution. …”
    Get full text
    Get full text
    Thesis
  8. 8

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…For example,the spammer changes patterns of message for making spam such as writing the message by JavaScript, using different advertising images and words to form features or attributes. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran by Tukiran, Siti Rahmah

    Published 2008
    “…They can recognize pattern within vast dataset and generalize those patterns into recommended courses of action to achieve desired target. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

    Published 2024
    “…This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12

    Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan by Aznan, Muhammad Nur Syazwanie Aznan

    Published 2019
    “…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. This project will use the rapid application development (RAD) methodology since this are the most suitable method for developing the system. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Comparative analysis of line search methods in the Steepest Descent algorithm for unconstrained optimization problems / Ahmad Zikri Shukeri, Puteri Qurratu Ain Megat Sulzamzamendi... by Shukeri, Ahmad Zikri, Megat Sulzamzamendi, Puteri Qurratu Ain, Ibrahim, Suhaida

    Published 2024
    “…The result from this study is choosing FMRI algorithm using exact line search to get faster convergence rate which means that the algorithm achieves a high level of accuracy in fewer iterations compared to using other algorithms and inexact line search.…”
    Get full text
    Get full text
    Student Project
  14. 14

    Improving Time Series Models Prediction Based On Empirical Mode Decomposition Using Stock Market Data by Hossain, Mohammad Raquibul

    Published 2021
    “…However, there are still scopes in improving the forecast accuracy of nonlinear nonstationary financial time series using EMD and other forecasting methods. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption by Al Mamun, Md Habib, Zuriani, Mustaffa, Junaida, Sulaiman, Mohd Herwan, Sulaiman

    Published 2026
    “…However, it is limited to a single household and does not reflect differences in household types, locations, or usage patterns. Future work will expand the scope using diverse datasets, longer forecast horizons, and integration of renewable energy sources for more practical and scalable solutions.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  16. 16

    Improving named entity recognition accuracy of gene and protein in biomedical text by Tohidi, Hossein

    Published 2011
    “…In this study, to handle the above issues in recognizing gene and protein names, a statistical similarity measurement as a pattern matching function is proposed. Our approach is based on an assumption that a named entity occurs among a noun group which is extracted using Brill Part of Speech tagger. …”
    Get full text
    Get full text
    Thesis
  17. 17

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  18. 18

    XML web services / Wong Kok Chuan by Wong, Kok Chuan

    Published 2003
    “…Next is the implementation phase which covers a brief description on the development environment used, explanations on a few algorithms used and the coding techniques and patterns which I followed. …”
    Get full text
    Get full text
    Thesis
  19. 19

    Ranking-based pruning and weighted support model for gene association in frequent itemsets / Sofianita Mutalib by Mutalib, Sofianita

    Published 2019
    “…Biological domain is one of the critical areas that always seek for useful knowledge and patterns observed through available methods, including data mining. …”
    Get full text
    Get full text
    Thesis
  20. 20

    A review of visualization techniques for duplicate detection in cancer datasets by Emran, Nurul Akmar, Maskat, Ruhaila

    Published 2025
    “…Drawing from literature in biomedical informatics, data quality, and visual analytics, it synthesizes current approaches and highlights key challenges. Using a scoping review methodology, we analyzed studies published over the past two decades, focusing on non-image clinical datasets. …”
    Get full text
    Get full text
    Get full text
    Article