Search Results - (( based identification task algorithm ) OR ( based optimization based algorithm ))

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  1. 1

    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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    Article
  2. 2

    Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm by Talib, Nihad Hasan

    Published 2020
    “…In conclusion, this study presented a novel hybrid evolutionary algorithm based on the combination of AHP with GBCS to specify optimal RFID reader positions and amount based on the working train station domain. …”
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    Thesis
  3. 3

    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

    Published 2019
    “…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
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    Author Identification : Performance Comparison using English and Under-Resourced Languages by Nursyahirah, Tarmizi, Suhaila, Saee, Dayang Hanani, Abang Ibrahim

    Published 2020
    “…Different stylometric features and emerging machine learning algorithms (i.e. SVM and Random Forest) are examined to obtain optimal results in AI task. …”
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  6. 6

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

    Published 2016
    “…Most of the existing plant identification methods are based on both the global shape features and the intact plant leaves. …”
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    Thesis
  7. 7

    Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

    Published 2025
    “…Key contributions include a comparative analysis of evolutionary, swarm intelligence, physics-based, human-inspired algorithms, and hybrid approaches benchmarked on classification datasets. …”
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    Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew by Kong Weng, Lee

    Published 2024
    “…Utilizing an existing workforce prediction method and shift design criteria, the study determines the minimum workforce required for task completion. Shifts are assigned based on this minimum, employing heuristic and genetic algorithms. …”
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  10. 10

    Scalability and performance in duplicate detection : relational vs. graph database by Muhammad Farhad, Khaharruddin

    Published 2023
    “…The choice between PostgreSQL and Neo4J should be based on the specific task requirements, with PostgreSQL being preferable for quick identification of similar items in large datasets, while Neo4J is more suitable for tasks that involve discovering communities within intricate networks.…”
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    Undergraduates Project Papers
  11. 11

    Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data by Fanos, Ali Mutar, Pradhan, Biswajeet, Mansor, Shattri, Md Yusoff, Zainuddin, Abdullah, Ahmad Fikri, Jung, Hyung Sup

    Published 2019
    “…The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. …”
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  12. 12

    Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

    Published 2016
    “…Most common solution of the task is the uses of threshold strategy based on trial and error method. …”
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  13. 13

    Development of biosignals-based multimodal biometric system by Osamah Sadeq Alhamdani

    Published 2014
    “…Through the performance analysis of the three biometric systems and their combination using two multimodal biometric score level fusion, this thesis finds the optimal combination of those systems. The best performance of the work is based on simple-sum score fusion with a piecewiselinear normalization technique which provides an EER of 0. 7%.…”
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    Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee by Wan Roshdee, Wan Nur Alya Athirah

    Published 2024
    “…The article that related to this study were identified and described based on the chosen algorithm, objectives, problems, and the significance. …”
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    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

    Published 2019
    “…Then, a co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm was applied to handle multi-objective optimization problems and to find the solution sets. …”
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    Research and development in agricultural robotics: a perspective of digital farming by Shamshiri, Ramin, Weltzien, Cornelia, A. Hameed, Ibrahim, Yule, Ian J., Grift, Tony E., Balasundram, Siva Kumar, Pitonakova, Lenka, Ahmad, Desa, Chowdhary, Girish

    Published 2018
    “…This paper reviews some of the latest achievements in agricultural robotics, specifically those that are used for autonomous weed control, field scouting, and harvesting. Object identification,task planning algorithms, digitalization and optimization of sensors are highlighted as some of the facing challenges in the context of digital farming. …”
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    Article
  20. 20

    Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali by M. Ali, Musab A.

    Published 2016
    “…Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. …”
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    Thesis