Search Results - (( a distribution means algorithm ) OR ( parameter automation a algorithm ))

Search alternatives:

Refine Results
  1. 1
    A coverage path planning approach for autonomous radiation mapping with a mobile robot

    A coverage path planning approach for autonomous radiation mapping with a mobile robot by Abd Rahman N.A., Sahari K.S.M., Hamid N.A., Hou Y.C.

    Published 2023
    Article
    Save to List
    Saved in:
  2. 2
    Spatiotemporal extraction of aquaculture ponds under complex surface conditions based on deep learning and remote sensing indices

    Spatiotemporal extraction of aquaculture ponds under complex surface conditions based on deep learning and remote sensing indices by Qin, Weirong, Ismail, Mohd Hasmadi, Ramli, Mohammad Firuz, Deng, Junlin, Wu, Ning

    Published 2025
    “…This study provides a potential means for long-term observation and tracking of changes in aquaculture ponds and water surfaces, as well as water management and water protection. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system

    Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Ayop Azmi, Nurnajmin Qasrina Ann, Pebrianti, Dwi, Abas, Mohammad Fadhil, Bayuaji, Luhur

    Published 2023
    “…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper�parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system

    Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur

    Published 2023
    “…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper-parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm

    Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm by Abdul Haris, Faranadia

    Published 2021
    “…The statistical analysis showed a good agreement between manual and automated data on each parameter, with a percentage difference observed between 0.08% and 6.88%. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm.

    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

    Published 2012
    “…Previously, genetic algorithm (GA) is considered as a heuristic method to solve AGVscheduling problem. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Automated Model Generation Approach Using MATLAB

    Automated Model Generation Approach Using MATLAB by Xia, Likun

    Published 2011
    “…An estimation algorithm is then required in order to obtain parameters for these models. …”
    Get full text
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  10. 10
    Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling

    Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling by Homayouni, Seyed Mahdi, Tang, Sai Hong, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar

    Published 2011
    “…This model minimizes the makespan of all the loading and unloading tasks for a set of cranes in a scheduling problem. Based on the simulated annealing (SA) algorithm, a scheduling method is proposed to solve the problem in a relatively short period of time. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Reactive approach for automating exploration and exploitation in ant colony optimization

    Reactive approach for automating exploration and exploitation in ant colony optimization by Allwawi, Rafid Sagban Abbood

    Published 2016
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm

    Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm by Usman, Nuraddeen

    Published 2018
    “…The manual input of structural index into the Euler equation makes the technique to be subjective and semi-automated. The objectives of this research are, to automate Euler deconvolution equation and introduce a filter for discriminating reliable solution from the inversion output. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Development Of An Automatic Calculation Method For Ct Dose Estimation Based On Individual Specific Size In Paediatric Population

    Development Of An Automatic Calculation Method For Ct Dose Estimation Based On Individual Specific Size In Paediatric Population by Abdulkadir, Muhammad Kabir

    Published 2022
    “…An automated calculation algorithm was developed on MATLAB platform for patient size measurement (Deff) and SSDE calculation. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering

    Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering by Hengda, Wang, Mohamad Mohsin, Mohamad Farhan, Mohd Pozi, Muhammad Syafiq

    Published 2024
    “…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils

    An automated approach for analysis of Fourier Transform Infrared (FTIR) spectra of edible oils by Siong-Fong, Sim, Woei, Ting

    Published 2012
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection

    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection by Yong, Guang

    Published 2019
    “…Therefore, two automated procedures are developed to determine these parameters iteratively. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Federated deep learning for automated detection of diabetic retinopathy

    Federated deep learning for automated detection of diabetic retinopathy by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani

    Published 2022
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  18. 18
    Data fitting by G1 rational cubic Be´zier curves using harmony search

    Data fitting by G1 rational cubic Be´zier curves using harmony search by Mohamed, Najihah, Majid, Ahmad Abd, Piah, Abd Rahni Mt

    Published 2015
    “…HS is a derivative-free real parameter optimization algorithm, and draws an inspiration from the musical improvisation process of searching for a perfect state of harmony. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Modified K-Nearest Neighborhood Algorithm For Optimal Selection Of Distribution Centre In The Disaster Relief Operation

    Modified K-Nearest Neighborhood Algorithm For Optimal Selection Of Distribution Centre In The Disaster Relief Operation by Siti Nabilah Basarang

    Published 2024
    thesis::master thesis
    Save to List
    Saved in:
  20. 20
    An Improved LEACH Algorithm Based On Fuzzy C-Means Algorithm And Distributed Cluster Head Selection Mechanism.

    An Improved LEACH Algorithm Based On Fuzzy C-Means Algorithm And Distributed Cluster Head Selection Mechanism. by Hassan, Ali Abdul Hussian, Othman, Mohd Fairuz Iskandar, Md Shah, Wahidah, Husien, Ali Mohamed, Hassan, Hayder Abdul Hussien

    Published 2019
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: