Search Results - (( java application optimisation algorithm ) OR ( control optimization strategical algorithm ))

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  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Article
  2. 2

    Optimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutions by Abdolrasol M.G.M., Jern Ker P., Hannan M.A., Tiong S.K., Ayob A., Almadani J.F.S.

    Published 2024
    “…Employing the Backtracking Search Algorithm (BSA), the research optimizes PI controller parameters to enhance system efficiency and reliability. …”
    Conference Paper
  3. 3

    Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach by Premkumar M., Hashim T.J.T., Ravichandran S., Sin T.C., Chandran R., Alsoud A.R., Jangir P.

    Published 2025
    “…Employing both single- and multi-objective optimization algorithms, the research addresses the OPF problem in a modified IEEE-30 bus system through various case studies. …”
    Article
  4. 4

    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks by Iranpanah, Havzhin

    Published 2017
    “…In the first part of the thesis, distributed power control and beamforming algorithm is proposed in which users operating in the underlay mode can strategically adapt their power levels and maximize their own utilities. …”
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    Thesis
  5. 5

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…Advancing multi-objective optimization techniques for cancer treatment strategies, the study strategically incorporates Swarm Intelligence (SI) and Evolutionary Algorithms (EA). …”
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    Thesis
  6. 6

    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…On the other hand, the superior performance of the genetic algorithm that implements an extended diversity control mechanism demonstrates that more competent genetic algorithms can be designed through customized operators. …”
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    Thesis
  7. 7

    An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller by Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, Zuwairie, Ibrahim

    Published 2018
    “…This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. SKF is a random based optimization algorithm inspired from a Kalman Filter theory. …”
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    Conference or Workshop Item
  8. 8

    Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications by Audah, Kamil, Noordin, Nor K., Hussein, Wala'a, Rasid, Mod Fadlee B. A., Sali, Aduwati, Flah, Aymen

    Published 2024
    “…Beamforming directs signals to users for optimal strength and quality, while phase shift control enhances signal coverage and quality. …”
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    Article
  9. 9

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Thesis
  10. 10

    Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

    Published 2025
    “…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”
    Conference paper
  11. 11

    SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Abdul Rahman, Farah Diyana, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Janin, Zuriati, Rahman, Md Arafatur

    Published 2022
    “…The core of the design is a simplified mathematical algorithm that can strategically compute payoff embrace moves to maximise gain. …”
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    Article
  12. 12

    Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm by Hazlan, Mohamed Alfian Al-Zikry, Gunawan, Teddy Surya, Yaacob, Mashkuri, Kartiwi, Mira, Arifin, Fatchul

    Published 2023
    “…A key feature of this design is the incorporation of the Tree Pseudo Least Recently Used (PLRU) algorithm for cache replacement, a strategic choice aimed at optimizing cache performance. …”
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    Article
  13. 13

    Predicting sales trends for school cooperative using Market Basket Analysis by Azeman, Nur Itqan Mardhiah

    Published 2025
    “…A Power BI dashboard was consequently developed to visualize these patterns and help strategic decisionmaking. The outcomes demonstrated that predictive analytics could improve customer satisfaction, back effective marketing strategies, and optimize inventory control. …”
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    Student Project
  14. 14

    Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems by Lye, Scott Carr Ken

    Published 2013
    “…To minimize the power consumption, Particle Swarm Optimization (PSO) is utilized to find the exact or near optimal resource allocation for the users. …”
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    Thesis
  15. 15

    Distributed power control and beamforming for cognitive two-way relay networks using a game-theoretic approach by Iranpanah, Havzhin, Mohd Ali, Borhanuddin, Hashim, Fazirulhisyam, Mohamad, Hafizal

    Published 2016
    “…We propose a distributed power control and beamforming algorithm that enables the users operating in the underlay mode to strategically adapt their power levels, and maximize their own utilities subject to the primary user (PU) interference constraint, as well as its own resource and target signal-to-interference-and-noise-ratio (SINR) constraints. …”
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    Conference or Workshop Item
  16. 16

    SGM : Strategic game model for resisting node misbehaviour in IoT-cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Farah Diyana, Abdul Rahman, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Zuriati, Janin, Rahman, Md Arafatur

    Published 2022
    “…The core of the design is a simplified mathematical algorithm that can strategically compute payoff embrace moves to maximise gain. …”
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    Article
  17. 17

    Predictive modeling of chlorophyll a for tropical lake by means of hybrid evolutionary algorithm (HEA) by Ishak, Mohd Yusoff, Cao, Hong Qing, Recknagel, Friedrich

    Published 2013
    “…The HEA has shown potential for utilisation in early warning and strategic control of algal blooms in tropical freshwater lake. …”
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    Conference or Workshop Item
  18. 18

    Comparative Analysis in DG Installation Scheme for Resilience Enhancement by Zakaria F.B., Musirin I.B., Aminudin N.B., Johari D.B., Shaaya S.A., Ibrahim N.F.B.

    Published 2025
    “…In this study, the Evolutionary Programming (EP) and Artificial Immune System (AIS) optimization techniques are used to determine sizing and strategic locations for the placement of multiple DG units for loss control in the power system. …”
    Conference paper
  19. 19

    Loss minimization DTC electric motor drive system based on adaptive ANN strategy by Yonis M Yonis, Buswig, Sim, Sy Yi, Wahyu, Mulyo Utomo, Goh, Hui Hwang, Chien, Siong Kai, Alvin, John Lim Meng Siang, Nor Aira, Zambri, Kah, Haw Law, Sim, Gia Yi

    Published 2020
    “…It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies…”
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    Article
  20. 20

    Loss minimization DTC electric motor drive system based on adaptive ANN strategy by Sim, Sy Yi, Mulyo Utomo, Wahyu, Hwang, Goh Hui, Kai, Chien Siong, Lim, Alvin John Meng Siang, Zambri, Nor Aira, Buswig, Yonis M. Y., Law, Kah Haw, Sim, Gia Yi

    Published 2020
    “…It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.…”
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    Article