Search Results - (( layer selection method algorithm ) OR ( java application stemming algorithm ))

Refine Results
  1. 1

    Genetic algorithm based ensemble framework for sentiment analysis by Lai, Po Hung

    Published 2018
    “…Since there are many methods involved in each task of the multilayered ensemble, genetic algorithm is added to optimize the overall framework in order to select the optimal combinations of methods in each layer that can produce satisfactory results. …”
    Get full text
    Get full text
    Thesis
  2. 2
  3. 3

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals by Faradila, Naim, Mahfuzah, Mustafa, Norizam, Sulaiman, Zarith Liyana, Zahari

    Published 2022
    “…Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    Depth Image Layers Separation (DILS) algorithm of image view synthesis based on stereo vision by Abd Manap, Nurulfajar, Soraghan, John J., Petropoulakis, Lykourgos

    Published 2013
    “…A new Depth Image Layers Separation (DILS) algorithm for synthesizing inter-view images based on disparity depth map layers representation is presented. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

    Published 2024
    “…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Determining the preprocessing clustering algorithm in radial basis function neural network by S.L. Ang, H.C. Ong, H.C. Law

    Published 2008
    “…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
    Get full text
    Get full text
    Article
  8. 8

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…Three algorithms of Linear (PURELIN), hyperbolic tangent sigmoid (TANSIG) and logistic sigmoid (LOGSIG) activation functions were selected for output layer. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm by WK Wong, Ali Chekima, Wong, Kii Ing, Law, Kah Haw, Lee, Vincent

    Published 2015
    “…Most advances on the Evolutionary Algorithm optimisation of Neural Network are on recurrent neural network using the NEAT optimisation method. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    A connection selection method for vertical handoff in hybrid wireless environment by Heidarinezhad, Mohammed Reza, Ahmad Zukarnain, Zuriati, Udzir, Nur Izura, Othman, Mohamed

    Published 2008
    “…To support the mobile host in the hybrid overlay wireless, a cross-layer vertical handoff control method has been proposed. …”
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
    Get full text
    Get full text
    Thesis
  12. 12

    A Multidimensional Search Space Using Interactive Genetic Algorithm by Farooq, H., Zakaria, M.N., Hassan, M.F., Sulaiman, Suziah

    Published 2010
    “…For experiment, we have selected Parametric L-System, in which both symbols and numerical parameters are evolved using Genetic Algorithm (GA). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    A new intelligent multilayer framework for insider threat detection by Ahmad, Rabiah, Al-Mhiqani, Mohammed Nasser Ahmed, Zainal Abidin, Zaheera, Abdulkareem, Karrar Hameed, Mohammed, Mazin Abed, Gupta, Deepak K., Shankar K.

    Published 2021
    “…For the second layer, a hybrid insider threat detection method has been proposed, where the Misuse Insider Threat Detection (MITD) model has been created using the random forest algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14
  15. 15

    A host mobility support with adaptive network selection method in hybrid wireless environment by Heidarinezhad, Mohammad Reza, Ahmad Zukarnain, Zuriati, Udzir, Nur Izura, Othman, Mohamed

    Published 2009
    “…The proposed network selection algorithm is based on hybrid neuro-fuzzy concept with low packet loss and latency. …”
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    Human odour detection approach using machine learning by Ahmed Qusay Sabri

    Published 2019
    “…Two feature selection methods Entropy and Chi Square tests were used to identify and determine the best and most acceptable voes. …”
    Get full text
    Get full text
    Get full text
    Thesis
  18. 18

    Resource allocation in coordinated multipoint long term evolution-advanced networks by Katiran, Norshidah

    Published 2015
    “…The design of CLD-ORA algorithm is an enhancement of the ORA algorithm with resource block (RB) scheduling scheme at medium access control (MAC) layer. …”
    Get full text
    Get full text
    Thesis
  19. 19

    PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM by ABDALLA, OSMAN AHMED

    Published 2011
    “…Particularly, GA is utilized to determine the optimal number of hidden layers, number of neurons in each hidden layer, type of training algorithm, type of activation function of hidden and output neurons, initial weight, learning rate, momentum term, and epoch size of a multilayer feed-forward ANN. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim by Ibrahim, Erman

    Published 2007
    “…Finally, the BP algorithm has been prove as a method that can be used for recognizing hand gesture for sign language and the successful task of recognition also dependent an the hnage processing. …”
    Get full text
    Thesis