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

Refine Results
  1. 1

    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. …”
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2

    Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network by Olanrewaju, R. F., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Aburas, Abdurazzag Ali, Zeki, Akram M.

    Published 2011
    “…The performance of the proposed technique has been evaluated using ROC graphs and Image Fidelity Measure (IFM). Results obtained indicate that the proposed algorithm can perfectly embed watermark in the host image without any distortion or loss of information which make both host and the watermarked image perceptually indistinguishable. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    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
  4. 4

    The nonlinear fabry-perot resonator: direct numerical integration by Chew, Khian Hooi, Tilley, D.R., Osman, J.

    Published 2001
    “…A numerical integration method is presented for the classical anharmonic-oscillator model describing the nonlinear response of a medium to an applied optical field within the single-frequency approximation for self-action effects. …”
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    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. …”
    Article
  7. 7
  8. 8

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    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. …”
    Get full text
    Get full text
    Thesis
  10. 10

    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. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12

    A GreedyZero algorithm to minimise the conflicts in an Optical Multistage Interconnection Network by Moudi, Mehrnaz, Othman, Mohamed

    Published 2014
    “…In this paper, we have proposed a new algorithm to minimise the number of conflicts of OMINs using the greedy graph colouring and Zero algorithm. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13
  14. 14
  15. 15

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  16. 16

    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. …”
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18

    Identification of power poles based on satellite stereo images using graph-cut algorithm by Qayyum A., Malik A.S., Saad M.N.M., Ahmad R.F., Abdullah A.R.T.

    Published 2023
    “…Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image; Stereo image processing…”
    Conference Paper
  19. 19

    A Fast Scheduling Algorithm for WDM Optical Networks by Cheah, Cheng Lai

    Published 2000
    “…The algorithm employs a theory in graph, known as edge colouring of bipartite multigraph to produce the transmission schedule, which is free from collision due to the nature of the edge colouring. …”
    Get full text
    Get full text
    Thesis
  20. 20

    Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo by Nursyafiqah, Shazali, Teong, Han Chew, Mohd Shahir, Shamsir, Roberta Chaya, Tawie Tingga, Mohd Ridwan, Abd Rahman, Faisal Ali, Anwarali Khan

    Published 2017
    “…Bats that roost in large clusters, specifically Penthetor lucasi were determined through automated counting using connected components labelling, a graph theory algorithm mostly used in image analysis applications. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article