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  1. 1
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

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

    Published 2016
    “…Furthermore, feature extraction methods based on global features such as shape, color and texture do not lead to accurate identification since they cannot adapt to changing environment. …”
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  2. 2
    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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  3. 3
    Identification of power poles based on satellite stereo images using graph-cut algorithm

    Identification of power poles based on satellite stereo images using graph-cut algorithm by Qayyum, Abdul, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Ahmad, Rana Fayyaz, Taun Abdullah, Taun Ab Rashid

    Published 2015
    “…We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. …”
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  4. 4
    A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application

    A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application by Zun Liang, Chuan, David, Chong Teak Wei, Connie, Lee Wai Yan, Muhammad Fuad Ahmad, Nasser, Nor Azura Md, Ghani, Abdul Aziz, Jemain, Choong-Yeun, Liong

    Published 2023
    “…Theseempiricalresults also conveyed that the superior proposed identification algorithm in this research could be developed as a mobile application for ballistics identification that can significantly reduce the time taken and conveniently perform the ballistics identification tasks.…”
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  5. 5
    Author Identification : Performance Comparison using English and Under-Resourced Languages

    Author Identification : Performance Comparison using English and Under-Resourced Languages by Nursyahirah, Tarmizi, Suhaila, Saee, Dayang Hanani, Abang Ibrahim

    Published 2020
    “…The approach used in AI task is based on supervised machine learning. Cross-validation is used to evaluate the performance of AI task. …”
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  6. 6
    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens

    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens by Z. L., Chuan, A. A., Jemain, C-Y, Liong, N. A. M., Ghani, L. K., Tan

    Published 2017
    “…Therefore, the aim of this study is to propose a robust algorithm for a firearm identification based on extracting a set of informative features from the segmented region of interest (ROI) using the simulated noisy center-firing pin impression images. …”
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  7. 7
    Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm

    Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm by Yahya Alyasseri, Zaid Abdi Alkareem

    Published 2020
    “…Recently, several studies showed that the brain electrical activity or electroencephalogram (EEG) signals provide unique features that can be considered as user identification techniques. But, it is a challenging task where there are three important things must be addressed carefully in any EEG-based person identification. …”
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  8. 8
    Complex word identification model for lexical simplification in the Malay language for non-native speakers

    Complex word identification model for lexical simplification in the Malay language for non-native speakers by Salehah, Omar

    Published 2023
    “…Lexical Simplification (LS), a method in TS, is the task of converting words into simpler words. Past studies have shown weaknesses in the LS first task, called Complex Word Identification (CWI), where simple and complex words have been misidentified in previous CWI model. …”
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  9. 9
    A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification

    A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification by Idris, N., Baba, S., Abdullah, R.

    Published 2009
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  10. 10
    Identification of power poles based on satellite stereo images using graph-cut algorithm

    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 2015
    “…We incorporated the ordering constrain with Graph-Cut on stereo images to detect occlusion on stereo matching algorithm. This will increase the accuracy of the disparity map which is required task for identification of power poles near vegetation based on satellite stereo images. …”
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  11. 11
    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm

    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm by Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2023
    “…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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  12. 12
    Deep learning framework for hierarchical-based object identification and description

    Deep learning framework for hierarchical-based object identification and description by Alamro, Loai C. A.

    Published 2024
    “…The HIDF components include five phases: 1) a feature extraction network which extracts suitable feature levels for object identification and classification tasks, 2) identification network which specifies the identity of the object, 3) a multi-output classification network for hierarchical-based object classification, 4) object description algorithm which generates sentences describing object characteristics, and 5) shunt connections which regulate prediction direction of HIDF according to the desired task (identification or classification). …”
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  13. 13
    Optimal operation of hydropower reservoirs under climate change

    Optimal operation of hydropower reservoirs under climate change by Ehteram M., Ahmed A.N., Chow M.F., Latif S.D., Chau K.-W., Chong K.L., El-Shafie A.

    Published 2024
    “…The study�s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. …”
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  14. 14
    Optimization Of Bar Linkage By Using Genetic Algorithms

    Optimization Of Bar Linkage By Using Genetic Algorithms by Ramasamy, Mugilan

    Published 2005
    “…This thesis presents the method of using simple Genetic Algorithms (GAs) in optimizing the size of bar linkage with discrete design variables and continues design variables. …”
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  15. 15
    Optimal operation of hydropower reservoirs under climate change

    Optimal operation of hydropower reservoirs under climate change by Ehteram M., Ahmed A.N., Chow M.F., Latif S.D., Chau K.-W., Chong K.L., El-Shafie A.

    Published 2023
    “…The study�s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. …”
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  16. 16
    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding

    An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding by Safa, Soodabeh, Khalid, Fatimah

    Published 2020
    “…Performance of proposed methods surpass the classic bag of words algorithm for plant identification tasks.…”
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  17. 17
    Identification and Grading of Manage Using Image Processing

    Identification and Grading of Manage Using Image Processing by Shukor, Syazwan

    Published 2021
    “…This project has developed an image processing algorithm for a systematic maturity identification of "Mangga Susu Thai Gold" mangos. …”
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    Final Year Project
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  18. 18
    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization

    Educational project on a simple voice identification using mel-frequency cepstrum coefficients and vector quantization by Akmeliawati, Rini, Widhiputranto, H. K.

    Published 2008
    “…Voice identification is a task of identifying a person based on the content of information in one’s voice signal which distinguishes his/hers from voices of other people. …”
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    Proceeding Paper
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  19. 19
    Identification of power poles based on satellite stereo images using graph-cut algorithm

    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
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  20. 20
    Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution

    Nonlinear identification of a small scale unmanned helicopter using optimized NARX network with multiobjective differential evolution by Tijani, Ismaila B., Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus

    Published 2014
    “…This study proposes a hybrid of conventional back propagation training algorithm for the NARX network and multiobjective differential evolution (MODE) algorithm for identification of a nonlinear model of an unmanned small scale helicopter from experimental flight data.The proposed hybrid algorithm was able to produce models with Pareto-optimal compromise between the design objectives. …”
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