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  1. 1
    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques

    Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

    Published 2014
    “…In this thesis, a smart QoS-aware service composition approach is proposed. The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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  2. 2
    Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli

    Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli by Rosli, Shahrul Azmi

    Published 2010
    “…There is several training algorithm that can be used to compute a neural network problem. …”
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  3. 3
    A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction

    A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction by Hammid, Ali Thaeer, M. H., Sulaiman, Awad, Omar I.

    Published 2018
    “…For this purpose, the suggested approach that makes a hybridizing the FA with the robust algorithm (RA), where RA is used to control the steps of randomness for the FA while optimizing the weights of the standard BPNN model. …”
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  4. 4
    Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design

    Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design by Haohao, Ma, As’arry, Azizan, Yanwei, Feng, Lulu, Cheng, Delgoshaei, Aidin, Ismail, Mohd Idris Shah, Ramli, Hafiz Rashidi

    Published 2024
    “…Subsequently, the parallel mechanism structure is designed to minimize the total mass, total deformation, and maximum equivalent stress. The central composite design (CCD) method was used to design the FEA experiment and establish the BKA-BPNN regression prediction model. …”
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  5. 5
    Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction

    Self learning neuro-fuzzy modeling using hybrid genetic probabilistic approach for engine air/fuel ratio prediction by Al-Himyari, Bayadir Abbas

    Published 2017
    “…A fitness function is proposed to deal with multi-objective problem without weight using a new composition method. The model was compared to other learning algorithms for NFS such as Fuzzy c-means (FCM) and grid partition algorithm. …”
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  6. 6
    Forecasting Tourism Market for Fiji based on Indicator Approach

    Forecasting Tourism Market for Fiji based on Indicator Approach by Soh, Ann Ni

    Published 2019
    “…Apart from utilising the composite leading indicator approach, a filtering extraction method, a dating algorithm for turning point detection and directional accuracy and binomial tests, this study also included Markov regime switching as well, for identifying the transition probabilities. …”
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  7. 7
    Artificial neural networks for burst pressure strength of corroded subsea pipelines repaired with composite fiber-reinforced polymer patches / Mohd Fakri Muda

    Artificial neural networks for burst pressure strength of corroded subsea pipelines repaired with composite fiber-reinforced polymer patches / Mohd Fakri Muda by Muda, Mohd Fakri

    Published 2023
    “…A computational model for predicting the burst pressure strength of repaired pipelines with composite FRP patches was employed using the ANN algorithm. …”
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  8. 8
    A modified strength capacity for composite slab using reliability approach

    A modified strength capacity for composite slab using reliability approach by Mohammed, Kachalla

    Published 2016
    “…Similarly, a procedural algorithm lead to the development of pro_led composite slab strength determination function for both longitudinal shear estimation methods by considering section slenderness and deck characteristics. …”
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  9. 9
    Hydraulic characterization of PVC-O pipes by means of transient tests

    Hydraulic characterization of PVC-O pipes by means of transient tests by Ghazali, M. F., Nizwan, Che Ku Eddy, Ismail, Nurazima, Sani, M. S.M., Yusof, Mohd Fadhlan M., Mohamed, Zamri

    Published 2019
    “…The data analysis of the signal that then to be decomposed into a series of wave composition with the use of EEMD signal masking method by using the matrix laboratory (MATLAB) software. …”
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  10. 10
    Numerical solution on neutral delay Volterra integro-differential equation

    Numerical solution on neutral delay Volterra integro-differential equation by Ismail, Nur Inshirah Naqiah, Abdul Majid, Zanariah

    Published 2024
    “…Note that the differentiation is approximated by the divided difference formula while the integration is interpolated using composite Simpson’s rule. The proposed method has been analysed thoroughly in terms of its order, consistency, zero stability and convergence. …”
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  11. 11
    Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods

    Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods by Al-Sabaeei, Abdulnaser M., Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Mohd Jakarni, Fauzan, Md Yusoff, Nur Izzi

    Published 2023
    “…The study conducts an extensive investigation using ML algorithms to accurately predict the multiple stress creep recovery (MSCR) rutting parameters for the base and modified asphalt binders. …”
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  12. 12
    A rough-fuzzy inference system for selecting team leader for software development teams

    A rough-fuzzy inference system for selecting team leader for software development teams by Jaafar, Jafreezal, Gilal, Abdul Rehman, Omar, Mazni, Basri, Shuib, Abdul Aziz, Izzatdin, Hasan, Mohd Hilmi

    Published 2017
    “…Moreover, the model development was divided into two portions: Decision Rules Development and Fuzzy Inference System (FIS) development. Johnson Algorithm (JA) was applied using ROSETTA toolkit under rough set theory principles for decision rule construction. …”
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  13. 13
    A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams

    A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams by Jaafar, J., Gilal, A.R., Omar, M., Basri, S., Aziz, I.A., Hasan, M.H.

    Published 2018
    “…Moreover, the model development was divided into two portions: Decision Rules Development and Fuzzy Inference System (FIS) development. Johnson Algorithm (JA) was applied using ROSETTA toolkit under rough set theory principles for decision rule construction. …”
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  14. 14
    A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams

    A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams by Jaafar, J., Gilal, A.R., Omar, M., Basri, S., Aziz, I.A., Hasan, M.H.

    Published 2018
    “…Moreover, the model development was divided into two portions: Decision Rules Development and Fuzzy Inference System (FIS) development. Johnson Algorithm (JA) was applied using ROSETTA toolkit under rough set theory principles for decision rule construction. …”
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  15. 15
    Delamination in fiberglass pre-impregnated laminated composites from ultrasonic a-scan signal using artificial intelligence

    Delamination in fiberglass pre-impregnated laminated composites from ultrasonic a-scan signal using artificial intelligence by Mahmod, Muhammad Faisal

    Published 2018
    “…In this study, the potential of using ultrasonic immersion testing for detecting the IID in FGLC type 7781 E-Glass fabric is studied. …”
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  16. 16
    Development And Analysis Of Near-Infrared Spectroscopy Technique For Non-Invasive Blood Glucose Monitoring System

    Development And Analysis Of Near-Infrared Spectroscopy Technique For Non-Invasive Blood Glucose Monitoring System by Abd. Salam., Nurul Akmal

    Published 2019
    “…Based on the tests performed, the algorithms constructed based on a single subject demonstrate a high reading accuracy The developed device system presented here has been proven to show a good correlation between NIR transmittance and blood glucose reading. …”
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  17. 17
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  18. 18
    Development of electrical resistance tomography applying vertical metallic column

    Development of electrical resistance tomography applying vertical metallic column by Suzanna, Ridzuan Aw, Ruzairi, Hj Abd Rahim, Yasmin, Abdul Wahab, Farah Hanan, Azimi, Lia Safiyah, Syafie, Raja Siti Nur Adiimah, Raja Aris

    Published 2021
    “…The cross section image of the bubble phantom was reconstructed using Linear Back Projection (LBP) algorithm after the data collection process was completed. …”
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  19. 19
    A comparative study on aviation arrival delay prediction using machine learning methods

    A comparative study on aviation arrival delay prediction using machine learning methods by Chew, Pui Ting

    Published 2023
    “…Considering the afore-mentioned model building methods for both approaches, ANN model using stepwise regression approach performs the best for flight arrival delay prediction based on F1 score. …”
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  20. 20
    An evolutionary based features construction methods for data summarization approach

    An evolutionary based features construction methods for data summarization approach by Rayner Alfred, Suraya Alias, Chin, Kim On

    Published 2015
    “…Here, feature construction methods are applied in order to improve the descriptive accuracy of the DARA algorithm.This research proposes novel feature construction methods, called Variable Length Feature Construction without Substitution (VLFCWOS) and Variable Length Feature Construction with Substitution(VLFCWS), in order to construct a set of relevant features in learning relational data. …”
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