Search Results - (( model validation _ algorithm ) OR ( based observational system algorithm ))*
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1
An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Parametric and non-parametric modelling of such systems is investigated. Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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2
Real-coded genetic algorithm for parametric modelling of a TRMS
Published 2009“…This paper present a novel and scrutinized parametric modeling of a laboratory scale helicopter, a twin rotor multi input multi output system (TRMS), by employing a real-coded genetic algorithm (GA) technique. …”
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Proceeding Paper -
3
MBIST implementation and evaluation in FPGA based on low-complexity March algorithms
Published 2024“…In addition, their fault detection abilities were also validated through tests on a fault-injected memory model, which shows that the implemented March AZ1 and March AZ2 provide 80.6% and 83.3% coverage of the intended faults, respectively, which outperform any other existing 14N-complexity March algorithms.…”
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4
Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
Published 2022“…The algorithm is validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation. …”
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5
Web Algorithm search engine based network modelling of Malaria Transmission
Published 2013“…The model output was validated with UCINET 6.0 as the benchmark system. …”
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6
Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich
Published 2019“…The proposed handover algorithms are validated using the LTE-Sim simulator under an urban environment. …”
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7
Evaluation of Lightning Current Using Inverse Procedure Algorithm.
Published 2013“…In this study an inverse procedure algorithm is proposed in the time domain to evaluate lightning return stroke current based on measured electromagnetic fields at an observation point. …”
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8
Enhancement in pneumatic positioning system using nonlinear gain constrained model predictive controller: experimental validation
Published 2021“…Firstly, a mathematical model that represented the pneumatic system was determined by system identification approach. …”
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Parametric modelling application to a twin rotor system using recursive least squares, genetic, and swarm optimization techniques
Published 2010“…Improved algorithms of recursive least square, genetic algorithm, and particle swarmoptimization are proposed to develop a parametric model to mimic the behaviour of the twin rotor system in hovering mode. …”
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10
Control of Maximum Power Point Tracking for Stand-Alone Photovoltaic System Using Voltage Comparison Technique
Published 2013“…The perturb and observe maximum power point tracker model was developed and compared with this proposed method in order to validate the performance of output results. …”
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11
A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata
Published 2019“…A new model in news selection is proposed based on sub-modularity model. …”
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12
Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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13
Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study
Published 2024“…Conclusions: This study developed and validated an ML-based model to predict the presence of MAEs among neonates in NICUs. …”
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14
A pond-surface-based Biofloc-farm health-monitoring system for African catfish using deep learning methods
Published 2022“…The objective of this research is; (i) To model a standard training database selection criterion on the fish behaviour in relation to their health, (ii) To develop an algorithm that can determine the health of the fish based on the behaviour of the fish, (iii) To implement and test the fish behaviour detection algorithm in a Biofloc fish pond to validate and evaluate the effectiveness of the system. …”
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Academic Exercise -
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An Automated System For Classifying Conference Papers
Published 2021“…The project is also aimed to select the best classification model for the system, based on an empirical study. …”
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Final Year Project / Dissertation / Thesis -
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…The simulation results are validated by actual data sets observed from 1971 until 2013. …”
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17
Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The two-band model, terma linear and modified algorithms were selected based on the highe.st correlation coefficient (R) value {> 80%) and the lowest root-mean-square (RMS) error value. …”
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18
Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Battery energy storage system (BESS) is a crucial aspect that supports the operation of power system, particularly with the increasing penetration of renewable energy (RE) based generation. …”
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19
Modeling and design control strategy for unwind/rewind system
Published 2008“…The tension observer is introduced as a regulator feedback and dynamic simulation requirement.The mathematical modeling of the system is established base on the tension control, speed control and other elements related to the system. …”
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20
Evaluation of lightning return stroke current using measured electromagnetic fields
Published 2012“…However, the improvement of Deindorfer and Uman on the Heidler function with an unknown variable is selected as the general channel base current function. Moreover, the current wave shapes are validated with measured field at other observation point when the determined current parameters and the proposed direct procedure algorithms are applied. …”
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