Search Results - (( variables extractions method algorithm ) OR ( rate estimation using algorithm ))
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Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…We propose a novel algorithm to estimate heart rate. Also, it can differentiate between a photo of a human face and an actual human face meaning that it can detect false signals and skip them. …”
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2
Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques
Published 2018“…This rPPG signal could perform better as compared to the standard vital signs estimation methods. The Inter beat interval (IBI) based on maximum peak detection approach has been used for heart rate variability estimation. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm
Published 2025“…However, existing RUL prediction approaches have difficulties with variability and nonlinearity that occur during battery degradation, data extraction, feature extraction, hyperparameters optimization, and prediction model uncertainty. …”
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Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
Published 2022“…The aim of this research is to explore a technique that can be implemented to the Variable Speed Micro-hydro Power Generation (VS-MHPG) system to search the optimum operating point for the maximum power extraction. …”
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Proceedings -
5
Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network
Published 2023“…Therefore, the main objective of this study is to improve the validity and reliability of the simplified biofilm growth model to optimize the laboratory MEC process of biohydrogen production from sago wastewater substrate using MATLAB. Model validity describes the first sub-objective, which is to solve the complexity of the nonlinear interaction of multiple MEC input variables related to the hydrogen production rate response using artificial neural networks (ANN) before validating the mathematical modeling results by comparing experimental data with the predicted substrate concentration profile and hydrogen production rate profile based on the re-estimated input values of the model parameters using single-objective optimization based on the nonlinear convex method using gradient descent algorithm. …”
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Thesis -
6
Evaluation of a spacecraft attitude and rate estimation algorithm
Published 2010“…Purpose: This paper aims to present the development and performance evaluation of an attitude and rate estimation algorithm using an extended Kalman filter structure based on a body‐referenced representation of the state. …”
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Machine-learning approach using thermal and synthetic aperture radar data for classification of oil palm trees with basal stem rot disease
Published 2021“…The temperature variation for each thermal image was examined using FLIR ResearchIR Max, the camera manufacturer's software, and feature extraction for each thermal image was extracted using FLIR Tools in the FLIR ResearcherIR environment software. …”
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Thesis -
8
Utilization of canny and velocity bunching algorithms for modelling shoreline change
Published 2006“…There is significant relationship between shoreline change rate estimated using Canny algorithm and ones modeled using velocity bunching model. …”
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Conference or Workshop Item -
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COMPARATIVE ANALYSIS OF OPTICAL FLOW MEASUREMENT TECHNIQUE
Published 2017“…The four algorithms were used to estimate the flow rate where five simulations with five different flow rates were measured in order to determine the accuracy of each algorithm. …”
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Final Year Project -
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An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem
Published 2021“…It is noticed that the AdamSE algorithm has the smallest iteration number. ,e results show that the rate of convergence of the Adam algorithm is significantly enhanced by using the AdamSE algorithm. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The feature extraction methods evaluated were Grayscale Pixel Values, Mean Pixel Value of Channels, and Extracting Edge Features. …”
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THE INVESTIGATION ON ARABIC WORD POSE ESTIMATION ALGORITHM AS MARKER FOR AUGMENTED REALITY APPLICATION
Published 2018“…We will evaluate the performance through analyzing the matching accuracy rate and how it affects the pose estimation. Based on results obtained for the pattern matching technique performance on Arabic scripts, SURF shows a better accuracy rate and execution time compared to another algorithm. …”
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Monograph -
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ADAPTIVE MODULATION AND CODING FOR WIMAX SYSTEMS
Published 2006“…First the SNR estimation using the three algorithms is implemented in Wimax system, based on the transmission protocols specified in Wimax. …”
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Final Year Project -
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Non pilot and pilot aided least square channel estimation algorithm in MIMO-OFDM system / Nursarah Ainaa Abdul Halim
Published 2013“…This project is about analyze and implement channel estimation techniques for MIMO-OFDM Systems with Least Squares (LS) Algorithm channel estimation by comparing non pilot and pilot aided result and the result is supposed the Pilot aided will have a better performance.…”
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Thesis -
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Coronary artery stenosis detection and visualization / Tang Sze Ling
Published 2015“…The proposed method benchmarked with the state-of-the-art methods and achieved comparable results. …”
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Thesis -
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New algorithm for attitude and orbit determination using magnetic field measurements
Published 2015“…The al-gorithm is applied to a spacecraft in low Earth orbit utilizing magnetic meas-urements and actuation only. The algorithm successfully satisfied the mission requirements in attitude and rate estimation and in pointing accuracy. …”
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Proceeding Paper -
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Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data
Published 2012“…A comparison of the cure rate estimation based on the two estimators was done through a simulation study.…”
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