Search Results - (( model validation between algorithm ) OR ( _ identification using algorithm ))
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1
Single parent mating in genetic algorithm for real robotic system identification
Published 2023“…As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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2
Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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3
SYSTEM IDENTIFICATION AND MODEL PREDICTIVE CONTROL FOR INTERACTING SERIES PROCESS WITH NONLINEAR DYNAMICS
Published 2009“…The subspace system identification method is used to estimate the linear model parameters. …”
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4
Parametric system identification and active vibration control of vibrational structures using genetic algorithm
Published 2007“…The models were validated using one step ahead (OSA) prediction, mean squared error (MSE) and correlation tests. …”
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5
NARX modelling for steam distillation pilot plant using binary particle swarm optimisation technique / Najidah Hambali
Published 2019“…This study proposes a system identification of SDPP using NARX model. The model structure selection of polynomial NARX had been focused on Binary Particle Swarm Optimisation (BPSO) algorithm. …”
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6
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…A superior performance is achieved by the proposed algorithms in system modeling where the DQLMS was able to track the correct weights values of the different modeled systems 430 sample faster than the QLMS and ZA-QLMS algorithms while the WL-DQLMS was faster than the WLQLMS algorithm by 950 samples. …”
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7
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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8
Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…The best model using the Gradient Boost algorithm showed an average accuracy of 92.55%, F1- score of 92.09% and G1-score of 89.7%. …”
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9
Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems
Published 2015“…Moreover, the ability of initialization the hidden nodes parameters using density function and recursive algorithm will help WN-OSELM to perform useful generalization facility and modeling accuracy. …”
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10
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Then, the damage severities at the identified locations are assessed using genetic algorithm (GA), through defining a database to reveal the relationships between the energies obtained and damage severities. …”
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11
Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging
Published 2022“…In addition, moderate agreement (Kappa value=0.58) between human observer and computer were identifed. …”
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12
Parameter Magnitude-Based Information Criterion For Optimum Model Structure Selection In System Identification
Published 2020“…The selected model was then tested using correlation test for model validation. …”
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13
Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network
Published 2021“…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
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14
Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network
Published 2021“…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
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15
Hand, Foot and Mouth Disease (HFMD)'s Hotspot Identification using Bipartite Network Model
Published 2020“…The location nodes in the targeted and validated models were ranked using the web-based search algorithms according to the respective ranking values. …”
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Final Year Project Report / IMRAD -
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Deep learning for EEG data analysis
Published 2018“…The convolutional neural network (CNN) model constructed in this project has achieved a validation accuracy of 75±1% using the same EEG dataset. …”
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17
Unveiling sarcastic intent: web-based detection of sarcasm in news / Mohd Nazzim Lahaji, Tajul Rosli Razak and Mohammad Hafiz Ismail
Published 2023“…This study’s key novelty and contribution lie in addressing the domain-specific problem of sarcasm detection in news headlines, which has received limited attention in previous research. The proposed algorithm effectively distinguishes between sarcastic and non-sarcastic headlines by analysing the semantic features of words and the underlying attitude conveyed by the headline’s structure. …”
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18
SWING-UP CONTROL OF MASS BODY INTERLINKED FLEXIBLE TETHER
Published 2010“…The validity of the model and availability of motion control based on multibody dynamics analysis are shown by comparison between numerical simulation and experiment.…”
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19
Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding
Published 2023“…Model validation results also revealed that the model developed by the denoised signal based on the Z-score threshold had the highest efficiency among the other models, at 95%. …”
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20
Fuzzy voice classifier and fuzzy voice pathology identification system
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Working Paper
