Search Results - optical ((window algorithm) OR (((((bat algorithm) OR (based algorithm))) OR (tree algorithm))))

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  1. 1

    Windows-Based bandwidth allocation on optical networks by Mahadevan, V., Yu, W., Zhou, J.

    Published 2009
    “…Now, in this paper related to our totally categorize of bandwidth allocation methods to three groups as Static, Router-Based and Windows-Based, we will explain seven major weaknesses on Windows-Based dynamic group and describe the improvements on them one by one. …”
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    Conference or Workshop Item
  2. 2

    Fast method to find conflicts in optical multistage interconnection networks by Abed, Farzaneh, Othman, Mohamed

    Published 2008
    “…In this paper, fast window method based on bitwise operations (BWM) is represented. …”
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    Article
  3. 3

    Fast ZeroY algorithm for efficient message routing in optical multistage interconnection networks by Raja Mohd Auzar, Tengku Dian Shahida, Othman, Mohamed, Abdullah, Mohamad Khazani

    Published 2008
    “…Based on the Zero algorithms, we proposed a fast and efficient crosstalk-free algorithm for message routing in optical Omega multistage networks. …”
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  4. 4
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    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). …”
    Article
  6. 6
  7. 7

    Parallel Optical Window Algorithm Applied to Optical Multistage Interconnection Network by Othman, Mohamed, Abdullah, Monir, Johari, Rozita

    Published 2008
    “…In this paper, a new parallel algorithm of the window method is developed called the Balanced Parallel Window Method (BPWM) algorithm. …”
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    Article
  8. 8

    Router-Based bandwidth allocation on optical networks by Mahadevan, V., Yu, W., Zhou, J.

    Published 2009
    “…Now, in this paper related to our totally categorize of bandwidth allocation methods to three groups as Static, Router-Based and Windows-Based, we will explain seven major weaknesses on Router-Based dynamic group and describe the improvements on them one by one. …”
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  9. 9

    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
    “…To this purpose, preprocessed IKONOS imagery was segmented using a watershed algorithm; stem diameter values were then estimated from the cross-sectional crown areas of these trees using regression relationships obtained from ground-based measurements. …”
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    Article
  10. 10

    Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network by Abduh Kaid, Monir Abdullah

    Published 2005
    “…This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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    Thesis
  11. 11
  12. 12

    Static bandwidth allocation on optical networks by Mahadevan, V., Yu, W., Zhou, J.

    Published 2009
    “…In this Review Paper we first prepare an introduction to Ethernet passive optical networks structure, then related to our totally categorize the bandwidth allocation methods to three groups as Static and Router-Based and Windows-Based, we will explain seven major weaknesses on static group and describe the improvements on them one by one. …”
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    Conference or Workshop Item
  13. 13

    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
    “…This paper reports on the development of an innovative technique to detect bacteria- or virus-infected chickens based on the optical chromaticity of the chicken comb. …”
    Article
  14. 14

    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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    Article
  15. 15

    Video Object Avoidance Implementation on Embedded Platform by Keat, Yeong Ming

    Published 2015
    “…Both motion and static detection algorithms will be tested in Window Visual Studio 2010, before implementing them into the embedded platform, which is Raspberry Pi. …”
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    Final Year Project
  16. 16

    Delineating mangrove forest zone using spectral reflectance by Abdul Whab @ Abdul Wahab,, Zulfa

    Published 2020
    “…Species identification with spectral library derived from in-situ measurements using SID algorithm and derived from Landsat 8 using SAM algorithm was done. …”
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    Thesis
  17. 17

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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    Article
  18. 18

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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    Article
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  20. 20

    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
    “…This paper reports on the development of an innovative technique to detect bacteria- or virus-infected chickens based on the optical chromaticity of the chicken comb. …”
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    Article