Search Results - (( control optimization matching algorithm ) OR ( control optimization method algorithm ))
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A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…This level of optimal control can only be achieved using an efficient optimization algorithm to optimally derive the operation rule for such a complex water system. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…Secondly, the enhanced Tuned Brightness Controlled Single-Scale Retinex with Hybrid Particle Swarm Optimization - Contrast stretching (eTBCSSR-HPSOCS) algorithm is introduced to tackle the limitations of the standard Particle Swarm Optimization (PSO) algorithm in HPSOCS, which is prone to local optima and exhibits low convergence rates. …”
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Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…Secondly, the enhanced Tuned Brightness Controlled Single-Scale Retinex with Hybrid Particle Swarm Optimization - Contrast stretching (eTBCSSR-HPSOCS) algorithm is introduced to tackle the limitations of the standard Particle Swarm Optimization (PSO) algorithm in HPSOCS, which is prone to local optima and exhibits low convergence rates. …”
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Efficiency improvement of a standalone photovoltaic system using fuzzy-based maximum power point tracking algorithm
Published 2016“…The MPPT algorithms imply the optimal duty ratio to drive the matching converter for optimal maximum power tracking. …”
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Model-free tuning of laguerre network for impedance matching in bilateral teleoperation system
Published 2021“…In addition, a metaheuristic optimization algorithm namely the Particle Swarm Optimization has been employed in seeking the optimal controller’s parameters. …”
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Scheduling of the battery for peak shaving using Model Predictive Control (MPC)
Published 2023“…However, the MPC has a complex and high optimization algorithm due to its dynamic model, but MPC technique ensures that it is environment-friendly compared to the traditional method of peak-shaving. …”
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Proceeding Paper -
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Model free tuning of laguerre network for impedance matching in bilateral teleoperation system
Published 2021“…In addition, a metaheuristic optimization algorithm namely the Particle Swarm Optimization has been employed in seeking the optimal controller parameters. …”
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A robust, scalable multi-robot control and coordination framework achieving high throughput for parcel sorting centers
Published 2025“…Unlike traditional approaches, it employs a dynamic iterative allocation method that handles uncertainties and optimizes plans in real time, significantly reducing computational demands. …”
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Final Year Project / Dissertation / Thesis -
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Statistical approach toward achieving green cloud computing in virtualized single server environment / Mohd Badrulhisham Ismail
Published 2020“…Furthermore, the thesis managed to come up with several novel approaches on dynamic threshold setting, best matching of load balancing between VM Selection and VM Placement, and a special step to optimise the process setting via the pre-control method. …”
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Designing an integrated AIOT system for tracking class attendance
Published 2024“…Basics and ensures that the software is more secure than the previous traditional attendance method using roll-less slides. For face detection the system uses a YOLO (You Only Look Once) algorithm, which allows quick and efficient recognition of student faces in the classroom context. …”
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A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING
Published 2011“…In recent years marine Controlled Source Electromagnetic (CSEM) method is being used for hydrocarbon exploration in deeper water. …”
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…Furthermore, the algorithms avoid computationally intensive correspondence problem by matching only the points of interest of a labeled pen to compute its position and orientation. …”
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Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…In the modern manufacturing landscape, optimizing productivity is a paramount challenge, particularly in dynamic, non-concentrative environments where human activities are diverse and complex. …”
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