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  1. 1

    Development of dynamic programming algorithm for maintenance scheduling problem by Zafira Adlia, Mohd Fauzi

    Published 2020
    “…Using the dynamic programming algorithm developed, the model was also able to recalculate alternative schedules by replacing unavailable teams with other teams to avoid delays. …”
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    802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar by Abdul Satar, Azwan

    Published 2007
    “…The result of these tests showed that the wireless sniffer was able to identify all normal gap, spoofing, high gap between successive frames, out of order and retransmit frames. …”
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    Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Koting, Suhana, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

    Published 2019
    “…Several research efforts have been developed to generate optimal operation rules for dam and reservoir systems utilizing different optimization algorithms. …”
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    Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia by Latif S.D., Hazrin N.A.B., Younes M.K., Ahmed A.N., Elshafie A.

    Published 2025
    “…This study managed to fill in the gap of using GPR for predicting municipal solid waste generation. …”
    Article
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    Biopattern: a biomimetic design framework for generating bio-inspired design (biomimicry) by Foo, Chin Thoong

    Published 2020
    “…The objective of this research is to develop a biomimetic design framework, BioPattern, which bridges this knowledge gap. …”
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    Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III by Liu, Jiajia, Zainudin, Edi Syams, As'arry, Azizan, Ismail, Mohd Idris Shah

    Published 2024
    “…The findings indicate that the NSGA III algorithm demonstrates superior performance in terms of generational distance and inverted generational distance, particularly excelling in convergence and diversity for high-dimensional optimization problems when compared to the comparison algorithms. …”
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  9. 9

    A test case generation framework based on UML statechart diagram by Salman, Yasir Dawood

    Published 2018
    “…Furthermore, the algorithms used for test case generation are not provided or well described. …”
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    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation by Lateh, Masitah bdul

    Published 2020
    “…The proposed algorithm named as Box-Whisker Data Transformation considered all samples contain in a MLCC dataset in order to generate artificial samples. …”
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    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

    Published 2024
    “…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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    Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das by Utpal, Kumar Das

    Published 2019
    “…In addition, a novel data preparation algorithm is also developed to prepare the solar irradiance (SI) pattern of the forecasted day for forecasting PV output power based on the online-weather-report. …”
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    A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube by Al?amri R., Murugesan R.K., Almutairi M., Munir K., Alkawsi G., Baashar Y.

    Published 2023
    “…based Online Clustering for Evolving Data Stream (BOCEDS) results in a superior evolving data stream clustering algorithm. Evaluation based on both the real world and synthetic datasets has proven the superiority of the developed BOCEDS TSHC clustering algorithm over the baseline algorithms with respect to most of the clustering met-rics. � 2022 by the authors. …”
    Article
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    Novel reservoir system simulation procedure for gap minimization between water supply and demand by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, El-Shafie, Ahmed

    Published 2019
    “…In this research, an optimization algorithm, namely, the shark machine learning algorithm (SMLA) that has high inertia for obtaining its targets, is proposed that mimics the natural shark process. …”
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    Optimum Material Removal in Electrical Discharge Machining through Advanced Control Integration of PSoC Microcontroller by Matthias Tiong Foh Thye, Leong Kah Meng, Mohd Azahar Che Abdullah, Jaysuman Pusppanathan, Abd Rahim Mat Sidek, Bentantya Nugroho

    Published 2025
    “…The pulse generator algorithm was developed to effi ciently manage Ton and Toff , while the Proportional Integral Derivative (PID) algorithm was employed to uphold the gap between the electrode and the workpiece. …”
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    Design and implementation of double rotor switched reluctance motor using magnetic circuit analysis by Chockalingam Aravind Vaithilingam

    Published 2013
    “…The reduction of the air-gap length is limited to a minimal value due to the mechanical oscillations that develop as the machine picks up the speed. …”
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    Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

    Published 2024
    “…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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