Search Results - (( java implication based algorithm ) OR ( (parameter OR parameters) evaluation focus algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Impact of evolutionary algorithm on optimization of nonconventional machining process parameters by B V, Raghavendra, R Annigiri, Anandkumar, Srikatamurthy, JS

    Published 2025
    “…Using a Python environment, three evolutionary algorithms such as, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Firefly Algorithm (FA), were simulated to evaluate their effectiveness in minimizing surface roughness (Ra). …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems by Zulkifli, Musa, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai

    Published 2024
    “…However, studies have yet to focus on tuning these parameters. Furthermore, no significant improvement is shown by the parameter-less SKF (with randomized P(0), Q, and R). …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method by Ramachandran, Murugan, Sundaram, Arunachalam, Ridha, Hussein Mohammed, Mirjalili, Seyedali

    Published 2024
    “…To address the existing theoretical gap, this study focused on developing an objective function that accurately estimates the initial root parameters of Photovoltaic (PV) models. …”
    Get full text
    Get full text
    Article
  6. 6

    A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains by Khaksar W., Sahari K.S.M.

    Published 2023
    “…In this paper, a novel parametric algorithm is proposed that is able to handle different planning goals by means of a set of objective-controller parameters. …”
    Article
  7. 7

    Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market by Hazirah Halul

    Published 2024
    “…Therefore, this study focused to contribute on evaluating different algorithm models such as traditional ML and deep learning models with big stock data of multiple parameters from selected companies in Bursa Malaysia. …”
    thesis::master thesis
  8. 8

    Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan by Hassan, Siti Fatimah

    Published 2015
    “…The first part of the study focuses on the efficient approximation for the concentration parameter in von Mises distribution. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Characterization Of Cooperative Control For Multiple Non-Holonomic Wheeled Mobile Robots To Achieve Formation Tracking by Lee, Zhi Xian

    Published 2017
    “…This research managed to perform the characterization of gain parameters and evaluate di�erent communication topologies. …”
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11

    Dynamic obstacle handling in multi-robot coverage by Tay, Wing Le

    Published 2024
    “…The impacts of the modified algorithm’s parameters on simulation results were also studied to determine the optimal parameters for achieving better performance. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  12. 12

    A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

    Published 2023
    “…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. Then, the developed algorithm is implemented to estimate the parameters of the Lorenz system. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Efficiency and accuracy of scheduling algorithms for final year project evaluation management system by Loo, Chang Herng, Muhammad Zulfahmi Toh, Abdullah, Ahmad Fakhri, Ab. Nasir, Nur Shazwani, Kamaruddin, Nur Hafieza, Ismail

    Published 2023
    “…This research paper conducts a comparative analysis of three algorithms: genetic algorithm, hill climbing algorithm, and particle swarm optimization algorithm, with a focus on evaluating their performance in scheduling presentations. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Numerical Investigations of Nano-fluid Flow in Square Porous Cavity: Buongiorno�s Mathematical Model by Zafar, M., Sakidin, H., Dzulkarnain, I., Afzal, F.

    Published 2021
    “…The generated algorithm has been evaluated in terms of Nusselt number and Sherwood number by comparing it to earlier published work, and the findings are in good agreement. …”
    Get full text
    Get full text
    Conference or Workshop Item
  15. 15
  16. 16

    Analysis On QOS Parameters To Predict Http Response by A.Rahman, Khairulnizam

    Published 2017
    “…Therefore, the real live world web service label data uses to evaluate the focus parameters using classification machine learning algorithms to process the data. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17

    HOLE ANALYSIS OF CARBON FIBER REINFORCED POLYMER (CFRP) LAMINATES STACK DRILLING IN AN AIRCRAFT APPLICATION by MOHD YAZIT, LUKMAN NULHAKIM

    Published 2018
    “…Therefore, that is a need to develop cutting procedure to look at the effect of processing parameter on the product defect. The mechanical drilling on laminate stacks composite material is focuses mainly on drill mechanism, cutting parameter, tool types, drill tool geometry and material. …”
    Get full text
    Get full text
    Final Year Project
  18. 18
  19. 19

    Sentiment analysis of domestic violence prediction using Naive Bayes algorithm / Nurulizzah Mohd Rahiman by Mohd Rahiman, Nurulizzah

    Published 2024
    “…The research objectives focus on studying and applying the Naive Bayes algorithm for sentiment analysis on tweets related to domestic violence, aiming to provide insights for researchers, government agencies, policymakers, and the public and develop a prediction model using Naive Bayes algorithm to evaluate its performance. …”
    Get full text
    Get full text
    Thesis
  20. 20