Search Results - (( loading optimization sensor algorithm ) OR ( parameter optimization _ algorithm ))
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1
A miniature stub-loaded antenna optimized at VHF band for FSR sensor application / Hasrul Hisyam Harun
Published 2014“…Antenna design in this paper simulated using Computer Simulation Technique (CST) and introduced Parameter Sweep and Genetic Algorithm (GA) technique to determine the optimal lengths of antenna and stubs. …”
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2
Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi
Published 2013“…Simulation is done by using the observer which uses optimal feedback gain as an example of process from algorithm design to verification of logic. …”
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Feasibility study on utilization of stub loaded miniature monopole antenna for forwards scattering micro-radar (FSR) network project: article / Hamid Salim
Published 2013“…The result obtained from both execution of Genetic Algorithm (GA) optimization and Parameter Sweep analysisis presented and conclude by future work recommendations for the continuity of this research.…”
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Miniature stub-loaded monopole antenna at 800 MHz for FSR sensor / Muhammad Norhisham Abdul Majid
Published 2014“…In this research, it presents a design simulation and analysis of miniature stubloaded omni-directional monopole antenna at 800 MHz for Forward Scattering Radar (FSR) sensor. A miniature technique and a robust genetic algorithm optimizer have been introduced to minimize the total length of the antenna compares to a standard monopole antenna at same frequency. …”
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5
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…The results obtained in these experiments would provide some overview in deploying machine learning algorithm for characterizing the Brillouin-based fibre sensor signals.…”
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Feasibility study on utilization of stub loaded miniature monopole antenna for forwards scattering micro-radar (FSR) network project / Hamid Salim
Published 2013“…The result obtained from both execution of Genetic Algorithm (GA) optimization and Parameter Sweep analysisis presented and conclude by future work recommendations for the continuity of this research.…”
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7
New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…In terms of controller-based, in this work, a new global maximum power point tracking (GMPPT) algorithm based on a modified butterfly optimization algorithm (MBOA) has been proposed. …”
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8
Green anaconda optimization based energy aware clustering protocol for 6G wireless communication systems
Published 2023“…The selection of proper CHs using metaheuristic algorithms fnds useful in design of energy-efcient WSNs. …”
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DC-based PV-powered home energy system
Published 2017“…The controller algorithm requires also the variation range of the geographical weather parameters (irradiance and temperature) to specify the MPP which is equivalent to that operating voltage at minimum weather parameters. …”
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10
QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK
Published 2012“…Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. …”
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11
A contactless computer vision system for underwater walking and jogging gait analysis using YOLO-pose and Multi-CNN BiLSTM architecture
Published 2025“…A comparison of hyperparameter optimization algorithms was conducted, with the combination of multivariate tree-structured Parzen estimators (MultiTPE) and Hyperband identified as the optimal approach. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…This load balancing scheme distributes the traffic load regularly and slowly over the sensor nodes during routing, such that the overall network life time is optimized, and the sensors die almost at the same time. …”
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13
Smart geographical routing protocol achieving high QoS and energy efficiency based for wireless multimedia sensor networks
Published 2021“…With energy management, the residual energy of sensor nodes are made to be equally distributed across the entire network which results in load balancing. …”
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Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Published 2025“…This study focuses on a Fog Optimized Computing System (FOCS) algorithm, which is developed to handle network congestion and processing challenges imposed by the increasing number of IoT devices. …”
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15
Energy-efficient routing using novel optimization with Tabu techniques for Wireless Sensor Network
Published 2022“…In specific, the energy usage is influenced by the loads on the sensor node as well as it ranges from the Base Station (BS). …”
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ANALYZING ACCELEROMETER AND GYRO SENSOR DATA FOR ACCURATE TURNING MOTION
Published 2019“…The application of IMU sensor with Madgwick algorithm for sensor data enable the use of this sensor with low computational load involved able to achieve real-time functionality for autonomous vehicle locomotion.…”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…It considers the combination of optimal and fixed priority of load. Inclusive with the design of UFLS is a new module referred as Load Shedding Module (LSM). …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
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20
Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model
Published 2021“…In this regard, a Local Sensitivity Analysis, Segment Particle Swarm Optimization (Se-PSO) algorithm, and the Enhanced Segment Particle Swarm Optimization (ESe-PSO) algorithm was adapted and proposed to estimate the parameters. …”
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