Search Results - (( using function method algorithm ) OR ( based interaction model algorithm ))

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  1. 1

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…The second controller design strategy is based on a cost function optimization using GAS. …”
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    Thesis
  2. 2

    Exploring c Environment (S/O: 12826) by Abdul Rahman, Syariza, Ku Mahamud, Ku Ruhana, Ramli, Razamin, Benjamin, Aida Mauziah, Omar, Mohd Faizal

    “…The Fruit Fly Optimization Algorithm (FOA) is a method that is still limited in optimization and artificial intelligence area. …”
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    Monograph
  3. 3

    FIS-PNN: a hybrid computational method for protein-protein interactions prediction using the secondary structure information by Sakhinah Abu Bakar, Javid Taheri, Albert Y Zomaya

    Published 2012
    “…In this study we used our approach, namely FIS-PNN, to predict the interacting proteins in yeast from the information of their secondary structures using hybrid machine learning algorithms. …”
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    Article
  4. 4

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…These steps have conducted using the MEMPHA model and ROA algorithm to optimize three metrics: execution time, total communication volume, and imbalance ratio (load balancing). …”
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    Thesis
  5. 5

    Improving neural networks training using experiment design approach by Chong, Wei Kean

    Published 2005
    “…This project involves the use of Neural Networks (NN) for function approximation. …”
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    Thesis
  6. 6

    A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping by Althuwaynee, Omar F., Pradhan, Biswajeet, Park, Hyuck Jin, Lee, Jung Hyun

    Published 2014
    “…An ensemble algorithm of data mining decision tree (DT)-based CHi-squared Automatic Interaction Detection (CHAID) is widely used for prediction analysis in variety of applications. …”
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    Article
  7. 7

    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah by Airul Sharizli, Abdullah

    Published 2017
    “…To represent the adaptive minimum safe distance which will be used in activation algorithm for CAWS, the new distance-based CAWS model, namely Minimum Safe Distance Gap (MSDG) is introduced. …”
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    Thesis
  8. 8

    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
    “…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
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    Conference or Workshop Item
  9. 9

    An Intelligent System Approach to the Dynamic Hybrid Robot Control by Md. Yeasin, Md. Mahmud Hasan

    Published 1996
    “…Secondly, for the intelligent trajectory generation approach, the segmented tree neural networks for each link (inverse kinematics solution) and the randomness with fuzziness (coping the unstructured environment from the cost function) were used. A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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    Thesis
  10. 10

    Human action recognition using slow feature analysis / Bardia Yousefi by Bardia, Yousefi

    Published 2016
    “…In addition, the model is considered a form information through active basis model based on incremental slow feature analysis (denoted as slow features). …”
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    Thesis
  11. 11

    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor by Terence Jerome Daim

    Published 2023
    “…Second objective is to develop and assess hand gesture recognition models using seven different classifiers to achieve accurate and reliable recognition of hand gestures. …”
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    Thesis
  12. 12

    Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network by Mohamad Afiq, Mohd Asrul

    Published 2023
    “…The model reliability describes the second sub-objective, which is to determine the feasible operating window of the MEC using multiple-objective optimization based on the nonlinear convex method using gradient descent algorithm as the objective function in maximizing the percentage efficiency of the MEC after validating the mathematical model. …”
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    Thesis
  13. 13

    Monte Carlo simulation of micelle formation in mixed surfactants and palm-kernel oil esters-based nanoemulsion by Yahya, Ruzanna

    Published 2014
    “…The physical properties of the mixed surfactants and nanoemulsions formulation were studied using the Metropolis Monte Carlo (MMC) algorithm while grand canonical Monte Carlo (GCMC) simulation was applied to investigate the displacements of critical micelle concentration (CMC) for both systems. …”
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    Thesis
  14. 14

    Elucidating the mechanism of action of Centella asiatica ethanolic extract and triterpenoids as a potential anti-leukaemic agent through the integration of in silico and in vitro s... by Othman, Norodiyah

    Published 2022
    “…Thus, this study investigated the underlying mechanism of anti-leukaemic activity of C. asiatica ethanolic extract and triterpenoids (madecassoside; ME, asiaticoside; AE, madecassic acid; MA, asiatic acid; AA) on human CCRF-CEM T-acute lymphoblastic leukaemia (T-ALL) cells through in silico and in vitro methods. A ligand-based target prediction model comprising 26 leukaemia-related targets and 26,540 compounds was first built using a random forest algorithm. …”
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    Thesis
  15. 15

    Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling by Mohamed, Raihani

    Published 2018
    “…On top of that, data association and algorithm modification inherit drawbacks on recognizing the residents and interactions of multi-resident complex activities. …”
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    Thesis
  16. 16

    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

    Published 2011
    “…Various feedforward neural networks were performed using different learning algorithms. The best algorithm was found to be Levenberg–Marquardt (LM) for a network composed of two hidden layers with six and seven neurons in the first and second layers, respectively for xylitol stearate and xylitol palmitate and also seven and five neurons in the first and second layers for xylitol caprate, with hyperbolic tangent sigmoid transfer function. …”
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    Thesis
  17. 17

    Prime-based method for interactive mining of frequent patterns by Nadimi-Shahraki, Mohammad-Hossein

    Published 2010
    “…Since rerunning the mining algorithms from scratch can be very time consuming, researchers have introduced interactive mining to find proper patterns by using the current mining model with various minsup. …”
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    Thesis
  18. 18

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…This comparison is based on the same parameters except for the interactions of the user. …”
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    Thesis
  19. 19

    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…In this paper, we propose a new method based on prime number and its characteristics mainly for interactive mining of frequent patterns. …”
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    Article
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