Search Results - optical ((((((bee algorithm) OR (tree algorithm))) OR (based algorithm))) OR (force algorithm))

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  1. 1
    Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa

    Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa by Esa, Abdul Halim

    Published 2016
    “…The characteristics of the tactile sensor will be analysed according to three parameters namely area, perimeter and diameter of the tactile sensor. Based on these three parameters, three different types of algorithm are developed in order to measure experimentally the forces and deformation based on optical information of the tactile sensor. …”
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  2. 2
    Tactile slippage analysis in optical three-axis tactile sensor for robotic hand

    Tactile slippage analysis in optical three-axis tactile sensor for robotic hand by Yussof, Hanafiah, Zahari, Nur Ismarrubie, Makhtar, Ahmad Khushairy, Ohka, Masahiro, Basir, Siti Nora

    Published 2014
    “…Based on tactile slippage analysis, a new control algorithm was proposed. …”
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  3. 3
    Optical tactile sensor for robotic assisted surface characterization / Amir Abd Latif

    Optical tactile sensor for robotic assisted surface characterization / Amir Abd Latif

    Published 2016
    “…A new mathematical modelling and computer algorithm is developed and calibrated which are based on image processing methods. …”
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  4. 4
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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  5. 5
    An adaptive block-based matching algorithm for crowd motion sequences

    An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

    Published 2018
    “…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
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  6. 6
    Improved abnormal detection using self-adaptive social force model for visual surveillance

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…These particles are then advected to a new location according to its underlying optical flow vector at the current location. Using the attained flow vectors from this stage, interaction force estimation is done based on SFM theory. …”
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  7. 7
    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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  8. 8
    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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  9. 9
    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
    “…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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  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
    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri

    Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

    Published 2020
    “…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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  12. 12
    Analysis of Motion Detection using Social Force Model

    Analysis of Motion Detection using Social Force Model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali, Mohd Falfazli, Mat Jusof

    Published 2013
    “…Using the vectors from this method, the interaction forces for each particle in video frames is calculated based on Social Force Model algorithm. …”
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  13. 13
    Mode division multiplexing zero forcing equalisation scheme using LU factorization

    Mode division multiplexing zero forcing equalisation scheme using LU factorization by Mohamed, Ahmed Sayed

    Published 2016
    “…These technique mainly rely on Least Mean Squared (LMS) and Recursive Least Squared (RLS) algorithms. The purpose of this study is to introduce a Zero Forcing LU-based equalization scheme for MDM. …”
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  14. 14
    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
    “…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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  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
    A real-time algorithm of optical tactile sensor for surface characterization / Nurul Fathiah Mohamed Rosli

    A real-time algorithm of optical tactile sensor for surface characterization / Nurul Fathiah Mohamed Rosli by Mohamed Rosli, Nurul Fathiah

    Published 2016
    “…The overall image analysis technique involves the following algorithms: image acquisition (capturing of images), processing (thresholding, noise filtering and boundary detection) and recognition (force measurement). …”
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  17. 17
    Crowd behavior monitoring using self-adaptive social force model

    Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    Published 2019
    “…The current method used is Social Force Model (SFM), which can describe the behavior of a crowd based on the interaction forces between individuals. …”
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  18. 18
    Delineating mangrove forest zone using spectral reflectance

    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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  19. 19
    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

    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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  20. 20
    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

    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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