Search Results - predicting risk differences ((optimization algorithm) OR (optimisation algorithm))

Search alternatives:

Refine Results
  1. 1
    Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

    Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components by Liang G., Panahi F., Ahmed A.N., Ehteram M., Band S.S., Elshafie A.

    Published 2023
    Article
    Save to List
    Saved in:
  2. 2
    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia

    Modelling of optimized hybrid debris flow using airborne laser scanning data in Malaysia by Lay, Usman Salihu

    Published 2019
    “…The general objective of the study was the development of optimized hybrid debris flow models using airborne laser scanning data and Machine learning algorithms in Malaysia. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods

    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

    Published 2017
    “…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Customer purchase prediction and product recommendations

    Customer purchase prediction and product recommendations by Wong, Ji Hin

    Published 2024
    “…The BG/NBD model is used to determine the optimal period that have highest prediction accuracy and it was determined that the six-month period is the optimal period with highest prediction accuracy. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  5. 5
    A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification

    A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification by Suihai, Chen, Chih How, Bong, Po Chan, Chiu

    Published 2024
    “…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer

    Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer by Nurul Asyikin, Zainal, Zuriani, Mustaffa

    Published 2016
    “…The target of this paper is to present a gold forecasting techniques using one of the optimization algorithm called Grey Wolf Optimizer (GWO).…”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  7. 7
    Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries

    Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries by Jaderi, Fereshteh, Ibrahim, Zelina Zaiton, Nikoo, Mehdi, Nikoo, Mohammad

    Published 2018
    “…In order to evaluate the accuracy of the model, we compare it with the fuzzy model, and the results indicate that self-organizing systems optimized with the genetic algorithm have higher ability, flexibility and accuracy than the fuzzy model in predicting risk.…”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Machine learning based return prediction for digital financial portfolios

    Machine learning based return prediction for digital financial portfolios by LinXi Shi, Thien Sang Lim, Jin Yan, Pengcheng Qi, Tao Li

    Published 2025
    “…The machine learning algorithm is introduced to optimize the digital financial portfolio investment return prediction system. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Grey number based methodology for non-homogeneous preference elicitation in fuzzy risk analysis management

    Grey number based methodology for non-homogeneous preference elicitation in fuzzy risk analysis management by Abu Bakar, Ahmad Syafadhli, Ku Khalif, Ku Muhammad Naim, Yaakob, Abdul Malek, Gegov, Alexander, Mohamad Amin, Ahmad Zaki

    Published 2019
    Get full text
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  10. 10
    Impact of optimizer on the MLP-based models for student performance classification

    Impact of optimizer on the MLP-based models for student performance classification by Osman, Fairul Nazmie, Abdul Aziz, Mohd Azri, Mohd Yassin, Ihsan, Taib, Mohd Nasir

    Published 2025
    “…This study investigates the impact of different optimization algorithms on Multi-Layer Perceptron (MLP) models for student performance forecasting, utilizing a dataset of 99 student samples. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging

    Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging by Panahi F., Ehteram M., Ahmed A.N., Huang Y.F., Mosavi A., El-Shafie A.

    Published 2023
    Article
    Save to List
    Saved in:
  12. 12
    SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration

    SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration by Arshad, U., Taqvi, S.A.A., Buang, A., Awad, A.

    Published 2021
    “…Data-driven models for predicting fire and explosion-related properties have been improved greatly in recent years using machine-learning algorithms. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan

    Machine learning algorithm as a sustainable tool for dissolved oxygen prediction: a case study of Feitsui Reservoir, Taiwan by Ziyad Sami B.F., Latif S.D., Ahmed A.N., Chow M.F., Murti M.A., Suhendi A., Ziyad Sami B.H., Wong J.K., Birima A.H., El-Shafie A.

    Published 2023
    Article
    Save to List
    Saved in:
  14. 14
    Optimization of flood inundation simulation using multi-resolution Digital elevation model

    Optimization of flood inundation simulation using multi-resolution Digital elevation model by Abdul Kadir, Muhammad Azraie

    Published 2022
    “…In this study, the relationship between DEM resolution and flood inundation prediction was determined in an attempt to propose a new optimization method of flood inundation prediction. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain

    Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain by Monowar, Hossain

    Published 2017
    “…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  16. 16
    Reproducing kernel Hilbert space method for cox proportional hazard model

    Reproducing kernel Hilbert space method for cox proportional hazard model by Abdul Manaf, Nur'azah

    Published 2016
    “…The simulations are done to investigate the effects of different number of covariates on the prediction of overall survival of patients. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem

    Development of a fuzzy multi-objective mathematical model for hazardous waste location-routing problem by Hassani, Omid Boyer

    Published 2014
    “…However, there is not any method to measure hazardous waste transportation risk in current situation at Malaysia. Hence, value of the total risk objective can help to choose optimal set of routes and facilities under safe manner.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques

    Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques by Tofiq Y.M., Latif S.D., Ahmed A.N., Kumar P., El-Shafie A.

    Published 2023
    Article
    Save to List
    Saved in:
  19. 19
    A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h

    A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h by Bakar, Mohd Anif A.A., Ker, Pin Jern, Tang, Shirley G.H., Arman Shah, Fatin Nursyaza, Mahlia, T. M.Indra, Baharuddin, Mohd Zafri, Omar, Abdul Rahman

    Published 2025
    “…The statistical analysis on individual features demonstrates the necessity of HCMML models to predict infected chicken with a reasonably high accuracy. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal

    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal by Aymen Taher , Ahmed al-Ashwal

    Published 2019
    “…The main contribution of this study is a classification model that can predict new classes and incrementally over time improve the accuracy of different food classes. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: