Search Results - (( data verification using algorithm ) OR ( leaf optimization method algorithm ))

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  1. 1

    Automated plant classification system using a hybrid of shape and color features of the leaf by Hamid, Laith Emad

    Published 2016
    “…Automated plant leaf classification is a computerized approach that employs computer vision and machine learning algorithms to identify a plant based on the features of its leaf. …”
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    Thesis
  2. 2

    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…Besides, existing leaf disease detection programs do not provide an optimized user’s experience. …”
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    Article
  3. 3

    Stroke-to-stroke matching in on-line signature verification by Ahmad Jaini, Azhar

    Published 2010
    “…On-line Signature Verification is a field of verifying the time series signature data that normally obtained from the tablet-based device. …”
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    Thesis
  4. 4

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
    “…Then, based on the characteristics of each species, decision making is done by means of ant colony optimisation as a search algorithm to return the optimal subset of features regarding the related species. …”
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    Thesis
  5. 5

    Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area by Lim , Yen Ruen

    Published 2017
    “…Cryptographic hash functions are generally the basis of a secure network and used for data integrity verification. Cryptographic hash functions carried out processes such as identity verification, file integrity checking, secure key passing, and source code version control. …”
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    Thesis
  6. 6

    Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching by Ei Wei., Ting, M. Z., Ibrahim, D.J., Mulvaney

    Published 2017
    “…The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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    Conference or Workshop Item
  7. 7

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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    Thesis
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    Data modification attacks protection using blockchain signing and verification process in bluetooth low energy network / Aiman Nurrasyid Shahrul Kamil by Shahrul Kamil, Aiman Nurrasyid

    Published 2020
    “…This research proposes some of the blockchain function which is signing and verification process on the BLE (Bluetooth Low Energy) network environment due the security issue on the BLE itself using three different hash algorithm MD5, SHA1 and SHA256. …”
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    Thesis
  11. 11

    Signature verification system using support vector machine by Fauziyah, Salehuddin, Azlina , Othman

    Published 2009
    “…The common verification algorithm is one of the Global Feature Vector Machine called Support Vector Machine (SVM). …”
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  12. 12

    Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan by Muhammad @ Atan, Nurmalessa

    Published 2020
    “…Two additional sites from T&C of the FiT scheme were used for the verification of the new developed FD algorithm. …”
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    Thesis
  13. 13

    Intelligent biometric signature verification system incorporating neural network by Lim, Boon Han, Mailah, Musa

    Published 2005
    “…An intelligent feature of the system is made possible through the application of a multilayer feedforward neural network that is used together with suitable algorithms to complement the verification process. …”
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    Article
  14. 14

    Daily streamflow forecasting using simplified rule-based fuzzy logic system by Yaacob, Mohd. Shafiek, Jamaluddin, Hishamuddin, Harun, Sobri

    Published 2005
    “…Verifications of the calibrated models were done using the data set of the following year. …”
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    Article
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    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…They look for the procedures or algorithms that maximize the use of leaf databases for plant predictive modelling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques. …”
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    Thesis
  17. 17

    Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

    Published 2006
    “…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
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    Monograph
  18. 18

    Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning by Zuriani, Mustaffa, Mohd Herwan, Sulaiman

    “…In response to the growing importance of SoC estimation, this study introduces a hybrid approach called the Barnacles Mating Optimizer with Deep Learning (BMO-DL) for SoC of Nissan Leaf batteries. …”
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    Article
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    Non-fiducial based ECG biometric authentication using one-class support vector machine by Hejazi, Maryamsadat, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Hashim, Shaiful Jahari, Abdul Aziz, Ahmad Fazli, Singh, Yashwant Prasad

    Published 2017
    “…The experimental results show that Kernel Principal Component Analysis has lower error rate in binary and one-class SVMs on random unknown ECG data sets. Moreover, one-class SVM can be robust recognition algorithm for ECG biometric verification if the sufficient number of biometric samples is available.…”
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