Search Results - pressure extraction method algorithm
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Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform
Published 2015“…An automatic algorithm based on relative changes in the cuff pressure and neighbouring oscillometric pulses was proposed to remove outlier points caused by movement artifacts. …”
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Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning
Published 2020“…For prediction of high blood pressure/no high blood pressure, all algorithms have really bad performance without bootstrapping, where their accuracies are all around 50% while their sensitivity and F1-score were less than 20%. …”
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Final Year Project / Dissertation / Thesis -
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Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis
Published 2017“…Cepstrum analysis is proposed as a method to extract leak and pipe feature information from pressure transient signal by considering this method to analyse non-stationary data. …”
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Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis / Hanafi.M.Yusop ...[et...
Published 2019“…Cepstrum analysis is proposed as a method to extract leak and pipe feature information from pressure transient signal by considering this method to analyse non-stationary data. …”
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Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff
Published 2016“…This study performed using a new bio-inspired algorithm; Selfish Gene Algorithm (SFGA) for optic cup and optic disc segmentation. …”
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Thesis -
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Design and development of prototype robot gripper for object weight measurement
Published 2014“…However, the existing robotic gripper has never been introduced the weight measurement method while grasping object based on piezoresistive pressure sensor. …”
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Thesis -
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Transient-based leak detection and monitoring of water pipes using complementary ensemble empirical mode decomposition (CEEMD) method
Published 2021“…This improvement made to overcome mode mixing and reconstruction error that lies in EMD method. CEEMD method used to extract the IMF’s component of a contaminated signal to remove undesirable noise signal. …”
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PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…A comparison of PEMFC performances based on the proposed technique with other existing MPPT algorithms will be done to validate the algorithm performance. …”
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Final Year Project Report / IMRAD -
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Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon
Published 2020“…In this study, an automated artifact detection algorithm was developed for Blood Pressure and PPG signals. …”
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Thesis -
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Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network
Published 2009“…On the other hand, when we use computers to reduce uncertainty, the computer itself can become an expert in a specific field through a variety of methods. One such method is machine learning, which involves computer algorithm to capture hidden knowledge from data. …”
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Hysteresis Modelling of Pneumatic Artificial Muscle using General Cubic Equation and Factor Theorem Prediction Method / Mohd Azuwan Mat Dzahir...[et al.]
Published 2017“…The methodology used to establish the hysteresis modelling and prediction method of the pneumatic artificial muscle are as follows; first is the characterization of the pneumatic artificial muscle at different loads and pressures; second is to develop a prediction method for generating constraint models of hysteresis data at a different loads using general cubic equation and factor theorem; third is to establish a simple theorem or algorithm to extract the hysteresis models (i.e., contraction and expansion) of a pneumatic artificial muscle at different loads based on the generated constraint models; and the final stage of the research is to obtain the hysteresis models at different loads. …”
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Model predictive control for steam distillation essential oil extraction process / Nazurah Tajjudin
Published 2014“…This study proposes a Model Predictive Control (MPC) controller for steam distillation essential oil extraction process. MPC is a model based control algorithm which applied a model to predict for the future output over a prediction horizon. …”
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Thesis -
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Reconstruction of flow rate history using linear regression
Published 2023“…The dataset used to evaluate the performance of the proposed method was obtained from a real producing field. This study indicated the high performance of linear regression at estimating missing flow rate history using available pressure readings in the dataset. …”
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Mapreduce algorithm for weather dataset
Published 2017“…The temperature, humidity and visibility attributes from the dataset has been extracted by the MapReduce Algorithm into structure data. …”
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Decision support system for the glaucoma using Gabor transformation
Published 2015“…This paper proposes a novel automated glaucoma diagnosis method using various features extracted from Gabor transform applied on digital fundus images. …”
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MapReduce algorithm for weather dataset
Published 2018“…The temperature, humidity and visibility attributes from the dataset has been extracted by the MapReduce Algorithm into structure data. …”
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Research Report -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. …”
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Monograph -
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Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. …”
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Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
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