Search Results - (( emotional selection based algorithm ) OR ( wave optimization bat algorithm ))*

  • Showing 1 - 19 results of 19
Refine Results
  1. 1

    Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems by Peddakapu, K., Mohd Rusllim, Mohamed, Srinivasarao, P., Licari, J.

    Published 2024
    “…The AOA-based 2DOF-TIDN performance is compared to the following algorithms: genetic, Jaya, bat, grasshopper optimization, particle swarm optimization, and moth flame optimization. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    An Algorithm to Define Emotions Based on Facial Gestures as Automated Input in Survey Instrument by Tayib, Saifulazmi, Jamaludin, Zulikha

    Published 2016
    “…Features of facial gestures that play important role in creating emotions are selected to be formulated in the algorithm.The aim of this paper is to produce an algorithm to define emotions based on three facial features namely mouth, eyes, and eyebrows.This is done by studying users and the problem domain, analyzing the relationship between emotions and facial gestures, and formulating solutions to the problem.This algorithm will be useful in developing a more interactive survey instrument and improving user interaction between researchers and dyslexic children.…”
    Get full text
    Get full text
    Article
  3. 3

    Social spider optimisation algorithm for dimension reduction of electroencephalogram signals in human emotion recognition by Al-Qammaz, Abdullah Yousef, Ahmad, Farzana Kabir, Yusof, Yuhanis

    Published 2018
    “…Due to some limitations of current heuristics and evolutionary algorithms, this paper proposed a new swarm based algorithm for feature selection method called Social Spider Optimization (SSO-FS). …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4
  5. 5

    Adaptive speech synthesis module with emotional expression by Hassan Abdalla Hashim, Aisha, Ahmed, Mustafa, Khalifa, Othman Omran

    Published 2010
    “…Its quality is less than unit selection, however, due to the introduction of many digital signal processing algorithms such as the PSOLA algorithm, more natural results was achievable.…”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  6. 6
  7. 7
  8. 8

    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2019
    “…The differential evolution-based channel selection algorithm (DEFS_Ch) was computed to find the most suitable EEG channels that have the greatest efficacy for identifying the various emotional states of the brain regions. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    Development of Image-Based Emotion Recognition using Convolutional Neural Networks by Latif, Atiya, Gunawan, Teddy Surya, Kartiwi, Mira, Arifin, Fatchul, Mansor, Hasmah

    Published 2021
    “…First, the extended Cohn-Kanade image emotion database was selected with five defined emotions: happy, sad, anger, fear, surprise, and neutral. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  10. 10
  11. 11

    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Previous studies have employed machine learning techniques to classify high and low-risk situations based on physiological responses. However, the performance of these algorithms in situations with closely comparable risk magnitudes remains uncertain. …”
    Get full text
    Get full text
    Get full text
    Thesis
  12. 12

    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  13. 13
  14. 14
  15. 15

    Personalized Recommendation Classification Model of Students’ Social Well-being Based on Personality Trait Determinants Using Machine Learning Algorithms by Rochin Demong, Nur Atiqah, Shahrom, Melissa, Abdul Rahim, Ramita, Omar, Emi Normalina, Yahya, Mornizan

    Published 2023
    “…After analyzing the results of all algorithms, it was determined that the IBk and Randomizable Filtered Classifier algorithms give the best accuracy on social well-being readiness, with a comparable percentage value of 91.26%. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach by Mustakim, Nurul Ain

    Published 2025
    “…The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
    Get full text
    Get full text
    Thesis
  18. 18

    Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis by Razalli, Husniza

    Published 2016
    “…The geometric ratios are based on combination of facial features distances and angles distribution between selected face features using minimum extracted facial features landmark points. …”
    Get full text
    Get full text
    Get full text
    Thesis
  19. 19

    Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

    Published 2020
    “…The risk in this situation is that there would be a moral hazard and adverse selection based on information asymmetry among principal construction participants especially contractors; this outcome is called risk attitudes. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article