Search Results - pressure estimation ((methods algorithm) OR (means algorithm))

Search alternatives:

Refine Results
  1. 1
    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation by Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.

    Published 2020
    “…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform

    Improved measurement of blood pressure by extraction of characteristic features from the cuff oscillometric waveform by Lim, P.K., Ng, S.C., Jassim, W.A., Redmond, S.J., Zilany, M., Avolio, A., Lim, E., Tan, M.P., Lovell, N.H.

    Published 2015
    “…Substantial reduction in the mean and standard deviation of the blood pressure estimation errors were obtained upon artifact removal. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…It was found that (by the Group Method of Data Handling algorithm), length of the pipe, wellhead pressure, and angle of inclination have a pronounced effect on the pressure drop estimation under these conditions. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…This study investigates the use of a novel Proposed Self-Calibration Algorithm (PSCA) of multi pressure sensors in real time on robotic hand glove system. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon

    Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon by Lim , Pooi Khoon

    Published 2020
    “…In this study, an automated artifact detection algorithm was developed for Blood Pressure and PPG signals. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling

    Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling by Siti Munirah, Muhammad Ali, El-Bouri, Wahbi, Wan Naimah, Wan Ab Naim, Mohd Jamil, Mohamed Mokhtarudin

    Published 2025
    “…Model outputs, specifically mean arterial pressure (MAP), were validated against clinical values from a public database. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Pipeline condition assessment by instantaneous frequency response over hydroinformatics based technique—An experimental and field analysis

    Pipeline condition assessment by instantaneous frequency response over hydroinformatics based technique—An experimental and field analysis by Muhammad Hanafi, Yusop, Ghazali, M. F., Mohd Fadhlan, Mohd Yusof, Muhammad Aminuddin, Pi Remli

    Published 2021
    “…The HHT processing algorithm has been successfully proven through simulation and experimentally tested to evaluate the ability of pressure transient analysis to predict and locate the leakage in the pipeline system. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Signal quality measures for unsupervised blood pressure measurement

    Signal quality measures for unsupervised blood pressure measurement by Abdul Sukora, Jumadi, Redmond, S J, Chan, G S H, Lovell, N H

    Published 2012
    “…The mean systolic and diastolic differences were 0.37 ± 3.31 and 3.10 ± 5.46 mmHg, respectively, when the artifact detection algorithm was utilized, with the algorithm correctly determined if the signal was clean enough to attempt an estimation of systolic or diastolic pressures in 93% of blood pressure measurements.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  10. 10
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  11. 11
    Model-based hybrid variational level set method applied to object detection in grey scale images

    Model-based hybrid variational level set method applied to object detection in grey scale images by Wang, Jing

    Published 2024
    “…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Determination of permeability characteristics of solid/liquid separation using simplex algorithm

    Determination of permeability characteristics of solid/liquid separation using simplex algorithm by Tanaka, Takanori, Kato, Hiroki, Fukuyama, Ryo, Hayashi, Natsuko, Jami, Mohammed Saedi, Iwata, Masashi

    Published 2013
    “…For efficacy evaluation of this estimation method, the permeability data of zinc oxide were determined using the method. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  13. 13
    Measurement and correlation of physicochemical properties of phosphonium-based deep eutectic solvents at several temperatures (293.15 K–343.15 K) for CO2 capture

    Measurement and correlation of physicochemical properties of phosphonium-based deep eutectic solvents at several temperatures (293.15 K–343.15 K) for CO2 capture by Ghaedi, H., Ayoub, M., Sufian, S., Lal, B., Shariff, A.M.

    Published 2017
    “…Most of these properties are fitted to a linear equation by the method of least-squares using the Levenberg-Marquardt algorithm to derive the corresponding parameters and estimate the root mean square error (RMSE) and least squared correlation coefficient (R2). © 2017…”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network

    Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network by Md Akib, Afif, Saad, Nordin, Asirvadam, Vijanth

    Published 2011
    “…A new learning algorithm called the ensemble dual algorithm for estimating the mass-flow rate of the flow after leakage is proposed. …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  15. 15
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mat Nawi, Mohd Nazir, Gebremariam, M. A., Azhari, Azmir

    Published 2022
    “…Into training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  16. 16
    Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation

    Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation by Muhssin, Mazin T., Raja Ahmad, Raja Mohd Kamil, Marhaban, Mohammad Hamiruce, Bafti, Payam Shafiei

    Published 2010
    “…Furthermore, a new observer namely State Space Least Mean Square (SSLMS) observer will be derived. This observer will be used to estimate the states along the propagation path which can not be estimated using LMS algorithm because LMS based on the FIR models. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Signal quality measures on pulse oximetry and blood pressure signals acquired from self-measurement in a home environment

    Signal quality measures on pulse oximetry and blood pressure signals acquired from self-measurement in a home environment by Abd Sukor, J., Mohktar, M.S., Redmond, S.J., Lovell, N.H.

    Published 2015
    “…The BP measurement evaluation demonstrates that 75 of the actual noisy sections were correctly classified in 120 pooled signals, with 97 and 91 of the signals correctly identified as worthy of attempting systolic and/or diastolic pressure estimation, respectively, with a mean error and standard deviation of 2.53 +/- 4.20 mmHg and 1.46 +/- 5.29 mmHg when compared to a manually annotated GS. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Evaluation of Formation Damage from Transient Pressure Analysis: Unsteady State Skin Factor

    Evaluation of Formation Damage from Transient Pressure Analysis: Unsteady State Skin Factor by El-Khatib, Noaman A.F.

    Published 2011
    “…An analytical solution is obtained in Laplace space and is inverted using Stehfest Algorithm. The actual skin factor is obtained as the difference in dimensionless pressure at the well of the composite system and that of the homogeneous system at the same dimensionless time. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  19. 19
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Into training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  20. 20
    Optimization of waterjet paint removal operation using artificial neural network

    Optimization of waterjet paint removal operation using artificial neural network by Alzaghir, Abdullah Faisal, Mohd Nazir, Mat Nawi, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Into training and testing, a back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with an average of 80% accuracy and 3.02 mean square error. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:

Search Tools: