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  1. 1
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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  2. 2
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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  3. 3
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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  4. 4
    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era

    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era by Shreeja, Nair, Kritika, Banka, Ankur, Pandya

    Published 2025
    “…Based on these findings, the paper proposes a Humanizing AI in Higher Education Framework focusing on ethical accountability, diversified HR policies, and continuous professional learning, aligned with the United Nations Sustainable Development Goals (SDG 4 - Quality Education, SDG 8 - Decent Work, and SDG 16 - Peace, Justice, and Strong Institutions). …”
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  5. 5
    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm

    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

    Published 2015
    “…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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  6. 6
    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network

    Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

    Published 2022
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    Final Year Project / Dissertation / Thesis
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  7. 7
    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi

    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

    Published 2018
    “…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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  8. 8
    Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies

    Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies by Karami, Hojat, Farzin, Saeed, Jahangiri, Aylin, Ehteram, Mohammad, Kisi, Ozgur, El-Shafie, Ahmed

    Published 2019
    “…Several methods based on algorithms have been developed in recent years in a bid to optimize water release operation policy, in order to overcome or minimize the impact of droughts. …”
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  9. 9
    Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization

    Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization by Mousavi, M., Yap, Hwa Jen, Musa, S.N., Tahriri, F., Md Dawal, Siti Zawiah

    Published 2017
    “…In the main draw of the research, a mathematical model was developed and integrated with evolutionary algorithms (genetic algorithm (GA), particle swarm optimization (PSO), and hybrid GA-PSO) to optimize the task scheduling of AGVs with the objectives of minimizing makespan and number of AGVs while considering the AGVs' battery charge. …”
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  10. 10
    A smart food security monitoring and predicting algorithm for rice productivity in Southeast Asia

    A smart food security monitoring and predicting algorithm for rice productivity in Southeast Asia by Chuan, Zun Liang, Tham, Ren Sheng, Abraham Lim, Bing Sern, David Lau, King Luen

    Published 2025
    “…Specifically, the methodology integrates Simple Linear Regression–Multivariable Linear Regression (SLR-MLR) into a unified predictive algorithm. …”
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  11. 11
    Disaster management system based on Levenberg-Marquardt algorithm artificial neural network / W Ahmad Syafiq Hilmi Wan Abdull Hamid ...[et al.]

    Disaster management system based on Levenberg-Marquardt algorithm artificial neural network / W Ahmad Syafiq Hilmi Wan Abdull Hamid ...[et al.] by Wan Abdull Hamid, W Ahmad Syafiq Hilmi, Hussin, Mohamad Fahmi, Samsudin, Khairilmizal, Mohd Yassin, Ahmad Ihsan, Mohd Rafi, Anas

    Published 2017
    “…Thus, the Disaster Management System Based on Levenberg-Marquardt Algorithm Artificial Neural Network was developed with the aim to help and assisting responders (FRDM first responders) in Malaysia to manage disaster particularly during early stage of response phase. …”
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  12. 12
    Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

    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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  13. 13
    Sixth Order Polynomial Model And Skyhook Algorithm Based Fuzzy Logic Control Of Magnetorheological Damper For Automotive Suspension System

    Sixth Order Polynomial Model And Skyhook Algorithm Based Fuzzy Logic Control Of Magnetorheological Damper For Automotive Suspension System by Ubaidillah, .

    Published 2010
    “…The governing equations of motions were formulated and integrated with skyhook control. Skyhook policy was then adapted in the development of a fuzzy logic control to enhance the ride performance. …”
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  14. 14
    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024)

    Reimagining English language learning: a systematic review of AI integration in classroom practice (2019–2024) by Ibrahim Brian, Muhammad Shyazzwan

    Published 2025
    “…To address these issues, the study emphasizes the need for professional development guided by the Technological Pedagogical Content Knowledge (TPACK) framework, as well as clear policy measures that promote ethical, equitable, and transparent AI integration. …”
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  15. 15
    Adaptive resource allocation for reliable performance in heterogeneous distributed systems.

    Adaptive resource allocation for reliable performance in heterogeneous distributed systems. by Hussin, Masnida, Abdullah, Azizol, K. Subramaniam, Shamala

    Published 2013
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  16. 16
    Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones

    Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

    Published 2020
    “…The shading efficiency represented the percentage of the shaded area to the total floor area of the pedestrian zone, while the targeted shading efficiency indicated the preferable shading requirements for the pedestrian. The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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  17. 17
    Agro-ento bioinformation: towards the edge of reality

    Agro-ento bioinformation: towards the edge of reality by Syed Hassan, Syed Tajuddin

    Published 2002
    “…The protocols range from the molecular levels to domains of larger dimensions such as those encompassing fraternities of politics and policies, and societal applications. These protocols, algorithms, and visualisations undergo dynamic incubation processes to produce the end product, which is bioinformation. …”
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    Inaugural Lecture
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  18. 18
    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model

    Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model by Salleh, Roselina, Shamsuddin, Siti Mariyam

    Published 2007
    “…Accordingly, the aim of this research is to develop a new hybrid model by combining a linear and nonlinear model for forecasting time series data. …”
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  19. 19
    Carbon dioxide management for product supply chain and total site utilisation and storage

    Carbon dioxide management for product supply chain and total site utilisation and storage by Mohd Nawi, Wan Norlinda Roshana

    Published 2018
    “…In conclusion, a new integrated methodology of CO2 emission reduction for product supply chain and CO2 end-of-pipe management has been successfully developed. …”
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  20. 20
    Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks

    Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks by Khalisha, Ariyani, Silvia, Ratna, M., Muflih, Haldi, Budiman, Noor, Azijah, M.Rezqy, Noor Ridha

    Published 2024
    “…These findings underscore the critical role of machine learning in formulating effective policies for poverty alleviation and suggest that integrating multiple machine learning algorithm can significantly enhance decision-making processes. …”
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