Search Results - (( mobile optimisation system algorithm ) OR ( based operational risk algorithm ))
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah
Published 2022“…However, existing deployment solutions do not satisfy the deployment of mobile underwater sensor nodes as a stochastic system. …”
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Thesis -
4
A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks
Published 2022“…However, existing deployment solutions do not satisfy the deployment of mobile underwater sensor nodes as a stochastic system. …”
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Thesis -
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Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
Published 2019“…Firstly, we proposed a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm (MC ABC-PSO) for evaluating the information gathered from the mobile nodes in the handover. …”
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Gps solution for active queue management using android platform
Published 2021“…This proposed project proposes an active queue management system in multiple location integrated with GPS (Global Positioning System) Android mobile application. …”
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Final Year Project / Dissertation / Thesis -
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PID controller design for a twin rotor MIMO system using real coded GA optimisation
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Proceeding Paper -
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Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment
Published 2021“…It is envisaged that this system and control algorithm can be very useful for the development of a mobile robot with extended functionality.…”
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Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries
Published 2018“…Networks used in this study are self-organizing networks with constant weight, which include Kohonen networks. For this purpose, operation impact, operation flexibility, maintenance cost, impact of safety and environment and frequency parameters had been considered as input; and using this model, the risk level is calculated. …”
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Bee colony optimised mass rapid transit routing prototype
Published 2017“…This research aims to develop an light rail transit (LRT)/mass rapid transit (MRT) routing prototype by applying the bee colony optimisation (BCO) and to pilot run this system to determine its functionality and workability. …”
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Optimised multi-robot path planning via smooth trajectory generation
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Final Year Project / Dissertation / Thesis -
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…The results obtained for year 1987 - 2008 assessments showed the proposed MHAs as an optimistic conclusion for the dam operator to consider based on the trade-off between reliability and resilience or other reservoir risk indices. …”
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Final Year Project / Dissertation / Thesis -
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
Published 2024“…In this study, an attempt via metaheuristic algorithms, namely the Harris Hawks Optimisation (HHO) Algorithm and the Opposite Based Learning of HHO (OBL-HHO) are made to minimise the water deficit as well as mitigate floods at downstream of the Klang Gate Dam (KGD). …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
thesis::doctoral thesis -
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…To optimise the QoE while viewing streaming video on a limited available smartphone energy, an algorithm for energy-aware video content adaptation decision-taking engine named EnVADE is proposed. …”
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A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
Published 2019“…To optimise the QoE while viewing streaming video on a limited available smartphone energy, an algorithm for energy-aware video content adaptation decision-taking engine named EnVADE is proposed. …”
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Integrated Solar-IoT monitoring and predictive maintenance systems for irrigation (S-IoTP) / Hasyiya Karimah Adli ... [et al.]
Published 2021“…The predictive analysis for forecasting solar power output based on modelbased algorithm using Python to ensure sustainable power for electricity, optimise the irrigation process and water consumption. …”
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Conference or Workshop Item