Search Results - (( based constructive method algorithm ) OR ( using composition based algorithm ))

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  1. 1

    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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    Thesis
  2. 2

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

    Published 2018
    “…The objective of this study, first, a firefly algorithm (FA) based on the k-fold cross-validation of BPNN has been suggested to predict data for keeping rapid learning and prevents the exponential increase in operating parts. …”
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    Article
  3. 3

    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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    Thesis
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    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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    Thesis
  6. 6

    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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    Thesis
  7. 7

    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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    Article
  8. 8

    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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    Thesis
  9. 9

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

    Published 2024
    “…The suitable stability region for 2OBM4 in solving NDVIDE has been constructed and the stability region is built based on the stability polynomial obtained. …”
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    Article
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    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
    “…Decision rules were then used under Mamdani’s fuzzy inference method. At the end, the developed model was validated based on the results of prediction accuracy and F1-measures.…”
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    Book Section
  12. 12

    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
    “…Decision rules were then used under Mamdaniâ��s fuzzy inference method. At the end, the developed model was validated based on the results of prediction accuracy and F1-measures. …”
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    Article
  13. 13

    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
    “…Decision rules were then used under Mamdaniâ��s fuzzy inference method. At the end, the developed model was validated based on the results of prediction accuracy and F1-measures. …”
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    Article
  14. 14

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

    Published 2018
    “…Existing detection method using static and dynamic load response have limitations that are considered static based monitoring and require the sensor to be attached to the test specimen surface. …”
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    Thesis
  15. 15

    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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    Thesis
  16. 16

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

    Published 2015
    “…In this work, we empirically compare the predictive accuracies of classification tasks based on the proposed feature construction methods and also the existing feature construction methods. …”
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    Research Report
  17. 17

    Ant system-based feature set partitioning algorithm for classifier ensemble construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2016
    “…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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    Article
  18. 18

    Knowledge base processing method based on text classification algorithm by Baisheng Zhong, Mohd Shamrie Sainin, Tan Soo Fun

    Published 2023
    “…The text classification algorithm's knowledge base processing method utilizes existing data from the knowledge base to guide the construction and training of the classification model. …”
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    Conference or Workshop Item
  19. 19

    Multi-base number representation in application to scalar multiplication and pairing computation by Mohammed Ismail, Abdelwahed

    Published 2011
    “…Multi-bases number representation is used to construct new versions of Miller’s algorithm. …”
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    Thesis
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