Search Results - evolution ((((calibration techniques) OR (estimation techniques))) OR (mining techniques))

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  1. 1
    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers

    Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers by Azmi M.S.M., Sulaiman M.N.

    Published 2023
    “…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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  2. 2
    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee

    Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee by Hiromi , Wong, Siew , Lan, Valery, Fred Lee

    Published 2004
    “…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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  3. 3
    Mixed Unscented Kalman Filter and differential evolution for parameter identification

    Mixed Unscented Kalman Filter and differential evolution for parameter identification by Legowo, Ari, Mohamad, Zahratu H., Park, HoonCheol

    Published 2013
    “…This paper presents parameters estimation techniques for coupled industrial tanks using the mixed Unscented Kalman Filter (UKF) and Differential Evolution (DE) method. …”
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  4. 4
    Saturation and parabolic effects of Langley Calibration at different altitude levels

    Saturation and parabolic effects of Langley Calibration at different altitude levels by Chang H. W. J., Maizan N. H. N., Fuei, Pien Chee, J. Sentian, Kong, Steven, Soon-Kai, Jedol Dayou

    Published 2016
    “…The performance of the well-known Langley plot technique, used for the calibration of ground-based sunphotometers, has been investigated at three observatory sites of different altitudes. …”
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  5. 5
    Vision Based Calibration and Localization Technique for Video Sensor Networks

    Vision Based Calibration and Localization Technique for Video Sensor Networks by Mohamed Sharif, Sharif Amar Mohamed Sharif

    Published 2009
    “…The recent evolutions in embedded systems have now made the video sensor networks a reality. …”
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  6. 6
    Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells

    Mathematical Modeling of Wellbore Flow Behavior in Multilateral Wells by Farah Amalina Azianti Bt Azmi, Farah Amalina Azianti

    Published 2012
    “…Since 2550 - 2315 BC, the technology of drilling has been evolved with new techniques and materials parallel to the increasing number of ideas and human population. …”
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    Final Year Project
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  7. 7
    Software-defined instrumentation for microwave network analysis measurement system incorporating virtual calibration technique

    Software-defined instrumentation for microwave network analysis measurement system incorporating virtual calibration technique by Mohd Yassin, Mohd Nazrin

    Published 2019
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  8. 8
    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model

    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model by Dashti, Maedeh, Gandoman, Taghi Javdani, Adeh, Dariush Hasanpoor, Zulzalil, Hazura, Md Sultan, Abu Bakar

    Published 2021
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  9. 9
    Metric-based code smell detection technique for python software

    Metric-based code smell detection technique for python software by Leeman, Samaila Ja'afaru

    Published 2018
    “…There are few literatures that show metric-based approaches have been used to detect code smells in Python Software. However, the techniques require selection of metrics and a tedious calibration of threshold upon which detection is done. …”
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  10. 10
    Two level Differential Evolution algorithms for ARMA parameters estimatio

    Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

    Published 2013
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    Proceeding Paper
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  11. 11
    Global Trends of Educational Data Mining in Online Learning

    Global Trends of Educational Data Mining in Online Learning by Chen, Chwen Jen, Teh, Chee Siong, Dexter Sigan, John

    Published 2023
    “…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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  12. 12
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  13. 13
    A review of homogenous ensemble methods on the classification of breast cancer data

    A review of homogenous ensemble methods on the classification of breast cancer data by Nur Farahaina, Idris, Mohd Arfian, Ismail

    Published 2024
    “…This technique reinforced the use of multiple classifiers in the model. …”
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  14. 14
    Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana'a metropolitan city, Yemen.

    Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana'a metropolitan city, Yemen. by Pradhan, Biswajeet, Mansor, Shattri, Al-shalabi, Mohamed, Billa, Lawal, A. A. Al-Sharif, Abubakr

    Published 2013
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  15. 15
    Pore pressure prediction using 2D Basin modeling technique

    Pore pressure prediction using 2D Basin modeling technique by Jun, P.K., Abidin, N.S.Z., Mio, E.D.

    Published 2022
    “…Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. …”
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  16. 16
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…Many statistical and data mining techniques have been used to predict time series stock market. …”
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  17. 17
    The evolution of spectral analysis of surface wave method – a review

    The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

    Published 2021
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  18. 18
    Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme

    Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme by Abdulhasan, Muntadher Qasim

    Published 2014
    “…Hence, CQI calculations highly depend on the accuracy of the channel estimation process. A precious channel estimation scheme is necessary to indicate the instantaneous channel condition. …”
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  19. 19
    An adaptive threshold feedback compression scheme based on channel quality indicator (CQI) in long term evolution (LTE) system

    An adaptive threshold feedback compression scheme based on channel quality indicator (CQI) in long term evolution (LTE) system by Abdulhasan, Muntadher Qasim, Salman, Mustafa Ismael, Ng, Chee Kyun, Noordin, Nor Kamariah, Hashim, Shaiful Jahari, Hashim, Fazirulhisham

    Published 2015
    “…Channel quality indicator (CQI) feedback in long-term evolution (LTE) system is an essential technique in describing the instantaneous channel state information. …”
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  20. 20
    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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