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  1. 1
    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications

    A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications by Far Chen, Jong

    Published 2025
    “…Validation against conventional methods and state-of-the-art algorithms confirmed the superior performance of the proposed approach. …”
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  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. …”
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  3. 3
    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients

    Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients by Moghbel, Mehrdad

    Published 2017
    “…This is followed by the clustering of the liver tissues using particle swarm optimized spatial FCM algorithm. …”
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  4. 4
    Wind speed modeling over complex terrain with the artificial neural network in the measure-correlate-predict technique: A case study of Malaysia

    Wind speed modeling over complex terrain with the artificial neural network in the measure-correlate-predict technique: A case study of Malaysia by Kim Hwang Y., Zamri Ibrahim M., Ismail M., Najah Ahmed A., Albani A.

    Published 2023
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  5. 5
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Data collected were used for the multilevel analysis, Markov Chain Monte Carlo (MCMC) simulation via WinBUGS algorithm and influence diagrams for BBNs. …”
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  6. 6
    Optimized conditioning factors using machine learning techniques for groundwater potential mapping

    Optimized conditioning factors using machine learning techniques for groundwater potential mapping by Kalantar, Bahareh, Al-Najjar, Husam A. H., Pradhan, Biswajeet, Saeidi, Vahideh, Abdul Halin, Alfian, Ueda, Naonori, Naghibi, Seyed Amir

    Published 2019
    “…For the validation, areas under Receiver Operating Characteristics (ROC) curves (AUC) were calculated for the three algorithms. …”
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  7. 7
    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property

    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

    Published 2013
    “…Furthermore, various spatial, temporal and spatio-temporal neighbourhood and weighting schemes, optimization algorithms and lag and error modelling scenarios were created and tested with the data. …”
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  8. 8
    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
    “…Additionally, the optimization was also validated experimentally using the hydraulic model. …”
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  9. 9
    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis

    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

    Published 2017
    “…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. …”
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  10. 10
    On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee

    On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee by Wong , Soo Mee

    Published 2021
    “…The experimental results demonstrate that the proposed framework is practical and effective, with < 2.3% of relative error at the Nyquist frequency as compared to the well-established edge method. In continuation of the first framework, the proposed MTF measurement algorithms are evaluated experimentally as a blur kernel estimation method for spatially varying and invariant blur removal. …”
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  11. 11
    Hospital site suitability assessment using three machine learning approaches: evidence from the Gaza strip in Palestine

    Hospital site suitability assessment using three machine learning approaches: evidence from the Gaza strip in Palestine by Almansi, Khaled Yousef, Mohamed Shariff, Abdul Rashid, Abdullah, Ahmad Fikri, Syed Ismail, Sharifah Norkhadijah

    Published 2021
    “…The results of the predicted sites were validated using CFS cross-validation and the receiver operating characteristic (ROC) curve metrics. …”
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  12. 12
    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia

    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

    Published 2010
    “…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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  13. 13
    Analysis of breast region segmentation in thermal images using U-Net deep neural network variants

    Analysis of breast region segmentation in thermal images using U-Net deep neural network variants by Rosli, Rafhanah Shazwani, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Al Husaini, Mohammed Abdulla Salim

    Published 2025
    “…Reliable segmentation is essential to improve the effectiveness of computer-aided diagnosis systems. Methods: This study evaluated three segmentation models—U-Net, U-Net with Spatial Attention, and U-Net++—using five optimization algorithms (ADAM, NADAM, RMSPROP, SGDM, and ADADELTA). …”
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  14. 14
    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration

    Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

    Published 2014
    “…LR model was used to find the corresponding coefficients of best fitting function that assess the optimal terminal nodes. …”
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  15. 15
    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State

    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

    Published 2022
    “…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. …”
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  16. 16
    Testing and validation of a Β; algorithm for cubesat satellites

    Testing and validation of a Β; algorithm for cubesat satellites by Bottcher, M., Eshghi, S., Varatharajoo, Renuganth

    Published 2016
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  17. 17
    Assessment of suitable hospital location using GIS and machine learning

    Assessment of suitable hospital location using GIS and machine learning by Almansi, Khaled Y. M.

    Published 2022
    “…First, the conditioning factors were optimized and ranked to identify and select the most correlated factors to predict the suitability of a hospital site by applying the correlation feature selection (CFS) algorithm and the greedy-stepwise search method. …”
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  18. 18
    Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot

    Investigations On Human Perceptual Maps Using A Stereo-Vision Mobile Robot by Eng, Swee Kheng

    Published 2018
    “…Validating the human perceptual maps using vision-based techniques is important for two reasons. …”
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  19. 19
    Application of genetic algorithm methods to optimize flowshop sequencing problem

    Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

    Published 2008
    “…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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    Undergraduates Project Papers
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  20. 20
    Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan

    Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan by Rosselan, Muhammad Zakyizzuddin

    Published 2018
    “…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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