Search Results - optical ((bleu algorithm) OR (learning algorithm))

Search alternatives:

Refine Results
  1. 1
    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System

    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

    Published 2020
    “…Results show that the proposed algorithm required a learning dataset size as small as 5 samples and was resistant to learning labelling error up to 50%.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Machine learning approach for automated optical inspection of electronic components

    Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

    Published 2019
    “…The factor that affecting the confidence level of the supervised machine learning algorithm is discussed. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  3. 3
    Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

    Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring by Nordin N.D., Abdullah F., Zan M.S.D., Bakar A.A.A., Krivosheev A.I., Barkov F.L., Konstantinov Y.A.

    Published 2023
    “…Brillouin scattering; Concretes; Curve fitting; Data handling; Extraction; Fiber optic sensors; Fiber optics; Learning algorithms; Machine learning; Structural health monitoring; BOTDA; Brillouin frequency shift extraction; Brillouin frequency shifts; Brillouin gain spectrum; Correlation techniques; Distributed fiber-optic sensors; Frequency shift; Generalized linear model; Low signal-to-noise ratio; Prediction accuracy; Signal to noise ratio; algorithm; fiber optics; noise; signal noise ratio; Algorithms; Fiber Optic Technology; Noise; Signal-To-Noise Ratio…”
    Article
    Save to List
    Saved in:
  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
    “…This paper demonstrates a comparative analysis of five machine learning (ML) algorithms for improving the signal processing time and temperature prediction accuracy in Brillouin optical time domain analysis (BOTDA) fiber sensor. …”
    Article
    Save to List
    Saved in:
  5. 5
    The impact of executive function and aerobic exercise recognition in obese children under deep learning

    The impact of executive function and aerobic exercise recognition in obese children under deep learning by JING, XIN, ABDULLAH, BORHANNUDIN, ABU SAAD, HAZIZI, YANG, XIANGKUN

    Published 2025
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Generalized linear model for enhancing the temperature measurement performance in Brillouin optical time domain analysis fiber sensor

    Generalized linear model for enhancing the temperature measurement performance in Brillouin optical time domain analysis fiber sensor by Nordin N.D., Zan M.S.D., Abdullah F.

    Published 2023
    “…Curve fitting; Deterioration; Fiber optic sensors; Forecasting; Learning algorithms; Machine learning; Signal to noise ratio; Temperature measurement; Temperature sensors; Theorem proving; Brillouin frequency shifts; Brillouin gain spectrum (BGS); Brillouin optical time domain analysis; Distributed temperature sensing; Generalized linear model; Low signal-to-noise ratio; Temperature prediction; Temperature resolution; Time domain analysis…”
    Article
    Save to List
    Saved in:
  7. 7
    Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network

    Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

    Published 2015
    “…Fundus image is the interior surface of the eye that includes the optic nerves, macula and retinal blood vessels. The optic nerve which is responsible for transmitting of electrical impulses from the retina to the brain is connected to the back of the eye near the macula has a visible portion of the optic nerve called the optic disc. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  8. 8
    Windows-Based bandwidth allocation on optical networks

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

    Published 2009
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  9. 9
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Machine learning in botda fibre sensor for distributed temperature measurement

    Machine learning in botda fibre sensor for distributed temperature measurement by Nur Dalilla binti Nordin

    Published 2023
    “…An alternative method is proposed, utilizing machine learning algorithms. Therefore, this thesis explores the comparative analysis for BOTDA data processing using the six most suited machine learning algorithms. …”
    text::Thesis
    Save to List
    Saved in:
  11. 11
    Recognition of Vehicle Plates Number (RVPN)

    Recognition of Vehicle Plates Number (RVPN) by Normala Sulaiman

    Published 2008
    Get full text
    Learning Object
    Save to List
    Saved in:
  12. 12
    Study the effect of environmental noise on Infrared TX–RX Circuit Signals

    Study the effect of environmental noise on Infrared TX–RX Circuit Signals by Mohd Zaihan Ibrahim

    Published 2008
    Get full text
    Learning Object
    Save to List
    Saved in:
  13. 13
    A review of machine learning in hyperspectral imaging for food safety

    A review of machine learning in hyperspectral imaging for food safety by Mainak Das, Yeo, Wan Sieng, Agus Saptoro

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects

    Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects by Thiviyanathan V.A., Ker P.J., Hoon Tang S.G., Amin E.P., Yee W., Hannan M.A., Jamaludin Z., Nghiem L.D., Indra Mahlia T.M.

    Published 2025
    “…This review also elucidates the potential of machine learning and big data analytics algorithms in understanding the growth and interaction of microalgae strains as well as to aid in decision making, which can possibly encourage the participation of small-scale and large-scale farmers in microalgae cultivation. …”
    Review
    Save to List
    Saved in:
  15. 15
    Embedded car plate image recognition system

    Embedded car plate image recognition system by Moo Wui Hung

    Published 2008
    Get full text
    Learning Object
    Save to List
    Saved in:
  16. 16
    Static bandwidth allocation on optical networks

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

    Published 2009
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  17. 17
    Router-Based bandwidth allocation on optical networks

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

    Published 2009
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  18. 18
    Prediction of the level of air pollution during wildfires using machine learning classification methods

    Prediction of the level of air pollution during wildfires using machine learning classification methods by Khalid, Syed Mohammed, Hassan, Raini

    Published 2020
    “…Hence, this research aims to use satellite-based data to predict the air quality of East Malaysian cities with the help of different Machine Learning classification algorithms. Aerosol optical data, meteorological data and fire data were collected from different satellite sources. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    The formulation of a transfer learning pipeline for the classification of the wafer defects

    The formulation of a transfer learning pipeline for the classification of the wafer defects by Lim, Shi Xuen

    Published 2023
    “…Automated processes have been used commonly in recent years, with the judgement done by using conventional image processing algorithm. However, limitations such as robustness and difficulty in setting up the parameters required for image processing algorithm encourages the investigation in using Deep learning classification in detecting the wafer defects. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow

    A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow by Harold Harrison, Mazlina Mamat, Farah Wong, Hoe Tung Yew, Racheal Lim, Wan Mimi Diyana Wan Zaki

    Published 2025
    “…A curated dataset was generated using a controlled experimental setup comprising a single object in a lab-scale environment, augmented synthetically to enhance frequency diversity. An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: