Search Results - (( evolution optimization svm algorithm ) OR ( based interactive module algorithm ))

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  1. 1

    Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

    Published 2019
    “…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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    Article
  2. 2

    A Modified ACO-based Search Algorithm for Detecting Protein Functional Module From Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Roslina, Abd Hamid

    Published 2015
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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    Conference or Workshop Item
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    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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    Article
  6. 6

    A Hybrid ACO-Graph Entropy for Functional Modules Detection From Protein-Protein Interaction Network by Jamaludin, Sallim, Rozlina, Mohamed, Che, Yahaya, Roslina, Abdul Hamid

    Published 2018
    “…Various graph clustering algorithms have been applied to protein interaction networks for detecting protein functional modules. …”
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    Article
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    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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    Article
  9. 9

    Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

    Published 2018
    “…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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    Article
  10. 10

    Integrating Interactive Multimedia Objects in Mobile Augmented Reality for Sarawak Tourism by Lee, Angeline, Ng, Edmund Giap Weng, Tan, Kuan Yin., Siti Shukhaila, Shaharuddin, Syaryfah Fazidawaty, Wan Busrah

    Published 2018
    “…Whereas, audio and video API for Android platform were used to build multimedia based audio and video module. As for interaction module, technique of color picking algorithm was applied. …”
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    Article
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    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal by Camellia , Mohd Kamal

    Published 2004
    “…For the tutorial questions, for the demonstration modules most of the question are the calculation format based on the demonstration example. …”
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    Thesis
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    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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    Book Section
  15. 15

    Computational problem solving architectural design based on multi-agent. by Rajabi, Maryam, Mohd Aris, Teh Noranis, Sulaiman, Md. Nasir

    Published 2013
    “…Likewise, the textualized problem to be given to the system and then problem analysis chart (PAC), input process output (IPO) chart,flowchart and algorithm will be produced. The designed problem solving system in this work comprises five agents, namely GUI, PAC, IPO, flowchart and algorithm agents interacting with the environment by percepts and actions. …”
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    Article
  16. 16

    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…Heuristic algorithm is an important module widely used for humanoid robots and avatars in VR systems. …”
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    Thesis
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    Supervisory control and data acquisition system (SCADA) based customized remote terminal unit (RTU) for distribution automation system by Musse, Mohamud Ahmed, Soo, Wai Lian

    Published 2008
    “…An embedded Ethernet controller is used as RTU to act as converter for human machine interface (HMI) and to interact with digital input and output modules. RTU is the master and digital input and output modules are the slaves. …”
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    Proceeding Paper
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    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

    Published 2020
    “…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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    Article
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    Wireless data gloves Malay sign language recognition system by Tan, Tian Swee, Ariff, Ahmad Kamarul, Shaikh Salleh, Sheikh Hussain, Siew, Kean Seng, Leong, Seng Huat

    Published 2007
    “…This paper describes the structure and algorithm of the whole Wireless Bluetooth Data Gloves Sign Language Recognition System, which is defined as a Human-Computer Interaction (HCI) system. …”
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    Conference or Workshop Item