Search Results - (( optical code algorithm ) OR ((( optical tree algorithm ) OR ( optical model algorithm ))))

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  1. 1
    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system

    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Ahmad Anas, Siti Barirah, Seyedzadeh, Saleh, Mokhtar, Makhfudzah, Sahbudin, Ratna Kalos Zakiah

    Published 2016
    “…This paper proposes a coding algorithm to support optical domain service differentiation using spectral amplitude coding techniques within an optical code division multiple access (OCDMA) scenario. …”
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  2. 2
    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system

    Variable weight Khazani-Syed code using hybrid fixed-dynamic technique for optical code division multiple access system by Anas, S.B.A., Seyedzadeh, S., Mokhtar, M., Sahbudin, R.K.Z.

    Published 2016
    “…This paper proposes a coding algorithm to support optical domain service differentiation using spectral amplitude coding techniques within an optical code division multiple access (OCDMA) scenario. …”
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  3. 3
    QoS Forwarding on the Optical Internet Backbone Area Using R-IWDMTC Protocol

    QoS Forwarding on the Optical Internet Backbone Area Using R-IWDMTC Protocol by Addie Irawan, Hashim, R. Badlishah, Ahmad

    Published 2006
    “…Discrete event simulator called OMNeT++ is used for modelling and analysis purposes and model of optical internet backbone area has been developed. …”
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  4. 4
    Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor

    Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor by Nordin N.D., Zan M.S.D., Abdullah F.

    Published 2023
    “…The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). …”
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  5. 5
    Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images

    Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ahmad, Noordin

    Published 2014
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  6. 6
    Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor

    Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor by Abdul Shukor, Norsyuhaimy

    Published 2010
    “…The atmospheric reflectance values were later used for PMIO mapping using the calibrated algorithm. The PMIO map was color-coded and geometrically corrected for visual interpretation. …”
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  7. 7
    Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor

    Comparative study on satellite base air monitoring system / Norsyuhaimy Abdul Shukor by Abdul Shukor, Norsyuhaimy

    “…The atmospheric reflectance values were later used for PM10 mapping using the calibrated algorithm. The PM10 map was color-coded and geometrically corrected for visual interpretation. …”
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  8. 8
    Performance Analysis of Duty-Cycle Division Multiplexing for Optical Fiber Communication Systems

    Performance Analysis of Duty-Cycle Division Multiplexing for Optical Fiber Communication Systems by Mahdiraji, Ghafour Amouzad

    Published 2009
    “…At the same time, a model for BER estimation based on the decision algorithms is established. …”
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  9. 9
    Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models

    Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar M.A.A.A., Ker P.J., Tang S.G.H., Baharuddin M.Z., Lee H.J., Omar A.R.

    Published 2024
    “…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95% accuracy, followed by SVM-RBF kernel, and KNN with 93% accuracy, Decision Tree with 90% accuracy, and lastly, SVM-Sigmoidal kernel with 83% accuracy. …”
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  10. 10
    Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data

    Integrated approach using data mining-based decision tree and object-based image analysis for high-resolution urban mapping of WorldView-2 satellite sensor data by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

    Published 2016
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  11. 11
    Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models

    Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models by Bakar, Mohd Anif A. A., Ker, Pin Jern, Tang, Shirley G. H., Baharuddin, Mohd Zafri, Lee, Hui Jing, Omar, Abdul Rahman

    Published 2023
    “…The development of the algorithms shows that Logistic Regression, SVM with Linear and Polynomial kernels performed the best with 95 accuracy, followed by SVM-RBF kernel, and KNN with 93 accuracy, Decision Tree with 90 accuracy, and lastly, SVM-Sigmoidal kernel with 83 accuracy. …”
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  12. 12
    Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph

    Building extraction for 3D city modelling using infused airborne LiDAR and high-resolution aerial photograph by Sani, Ojogbane Success

    Published 2021
    “…The second goal employs a deep learning(DL) algorithm to predict the best sensor for detection, either the LiDAR, optics or the fusion of the LiDAR and high-resolution aerial photography, to know which is most suitable for building detection with little or no user intervention. …”
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  13. 13
    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia

    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

    Published 2006
    “…The objective of this study is to develop an algorithm based on the aerosol optical thickness (AOT) for mapping PM1 0 using digital camera and satellite imageries. …”
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  14. 14
    Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques

    Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

    Published 2021
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  15. 15
    Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches

    Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches by Liew, S.Y., Wong, E.S.K.

    Published 2009
    “…In the first algorithm, packet scheduling is formulated as a tree-searching problem. …”
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  16. 16
    Optimized techniques for landslide detection and characteristics using LiDAR data

    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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  17. 17
    The Half-t adaptive error correction algorithm for SDH-based WDM optical networks

    The Half-t adaptive error correction algorithm for SDH-based WDM optical networks by Cheah, Cheng Lai, Abdullah, Mohamad Khazani

    Published 2007
    “…This paper proposes an adaptive forward error correction (FEC) algorithm, referred to as the Half-t algorithm for synchronous digital hierarchy (SDH) based wavelength division multiplexing (WDM) optical networks. …”
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  18. 18
    Development of new code for optical code division multiple access systems

    Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

    Published 2011
    “…Splitting algorithm is proposed to construct the new code families namely RD code. …”
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  19. 19
    Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery

    Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery by Phua, Mui How, Ling, Zia-Yiing, David Anthony Coomes, Wilson Wong, Alexius Korom, Satoshi Tsuyuki, Keiko Ioki, Yasumasa Hirata, Hideki Saito, Gen Takao

    Published 2017
    “…We used the dimensions of tree crowns detected in the imagery to estimate above-ground biomasses (AGBs) of individual trees and plots. …”
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  20. 20
    An Adaptive Error Correction Scheme For Synchronous Digital Hierarchy-Based Wavelength Division Multiplexed Optical Network

    An Adaptive Error Correction Scheme For Synchronous Digital Hierarchy-Based Wavelength Division Multiplexed Optical Network by Cheah, Cheng Lai

    Published 2007
    “…The existing FEC techniques for optical communications are based on fixed codes, which consume unnecessary overhead bandwidth even when there are no errors. …”
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