Search Results - (( model validation from 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
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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3
Real-coded genetic algorithm for parametric modelling of a TRMS
Published 2009“…A complete system identification procedure has been carried out, from experimental design to model validation using a laboratory-scale helicopter. …”
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Proceeding Paper -
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
Control of Maximum Power Point Tracking for Stand-Alone Photovoltaic System Using Voltage Comparison Technique
Published 2013“…Approach: The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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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
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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8
Parametric modelling application to a twin rotor system using recursive least squares, genetic, and swarm optimization techniques
Published 2010“…A complete system identification procedure is carried out, from experimental design to model validation using a laboratory-scale helicopter. …”
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9
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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10
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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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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12
Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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13
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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14
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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15
A Voltage Mode Control Maximum Power Point Tracking for Stand-Alone Photovoltaic System
Published 2013“…The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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16
A new intelligent multilayer framework for insider threat detection
Published 2021“…Results of the experiment demonstrate that the validity of the results produced by the selection framework is proven by the validation procedure obtained from previous research. …”
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17
UAV-based PM₂.₅ monitoring system for small scale urban areas
Published 2018“…The research aims to introduce a PM2.5 prediction algorithm based on PM2.5 measurements from a developed a system capable of measuring PM2.5 concentrations in small-scale areas and validate the model at specified low altitudes. …”
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18
A Voltage Mode Control Maximum Power Point Tracking for Stand-Alone Photovoltaic System
Published 2012“…The PV module was modeled based on the parameters obtained from a commercial PV data sheet while voltage mode control was modeled using simulink block model. …”
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Conference or Workshop Item -
19
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…The study on related work and comparison of algorithm also has been done in this phase. In Design phase, the use case diagram, whole system flowchart and subsystem flowchart has been constructed to assist the development of this web tool. …”
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20
Foreground segmentation-based human detection with shadow removal
Published 2010“…The proposed detection technique will first try to extract all foreground objects from the background and then moving shadows will be eliminated by a shadow detection algorithm. …”
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Proceeding Paper
