Search Results - (( based estimation method algorithm ) OR ( program implementation _ algorithm ))
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1
Singular Value Thresholding Algorithm for Wireless Sensor Network Localization
Published 2020“…Since the location of the sensors is one of the most interesting issues in WSN, the process of node localization is crucial for any WSN-based applications. Subsequently, WSN's node estimation deals with a low-rank matrix which gives rise to the application of the Nuclear Norm Minimization (NNM) method. …”
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2
Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…The purpose of this thesis is to implement an algorithm for drone-based square boundaries using Python and OpenCV. …”
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Monograph -
3
Differential equation fault location algorithm with harmonic effects in power system
Published 2023“…This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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5
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
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6
Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian
Published 2009“…This optimal state estimate and corrected data base are then used by the security monitoring and operation and control functions of the center.Most state estimation programs in practical use are formulated as overdetermined systems (Pozrikidis, 2008) of nonlinear equations and solved as weighted least square problems (refer to section 2.1.1).This research involves finding the least squares solution of the power system state estimation problem, HTR-1HDx = HTR-1 [z - f (x)] (refer to section 2.3.1) and to develop a program to implement the said algorithm. …”
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Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli
Published 2014“…The backpropagation algorithm is one of the most famous algorithms to train neural network based on the mean square error (MSE) of ordinary least squares (OLS). …”
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8
Design And Development Of Gas Argon Purging System
Published 2006“…A method is proposed to estimate the accuracy of the system by implementing PI algorithm. …”
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Monograph -
9
Development of real-time navigation system by using pure pursuit guidance for unmanned surface vehicle
Published 2024“…The Pure Pursuit algorithm works by focusing on the nearby path relative to the USV's position, guiding it with steering directions based on its current position and orientation. …”
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10
Speed control of separately excited dc motor using artificial intelligent approach
Published 2013“…A neural network controller with learning technique based on back propagation algorithm is developed. …”
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11
Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis
Published 2016“…The Hessian-Based Filter is used to enhance wrinkle analysis for age range estimation method. …”
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12
Deep Reinforcement Learning For Control
Published 2021“…To generate the visual simulation in the simulator, the Python programming language is employed. The improved algorithm will help encourage the real-world implementation of DRL in many autonomous driving applications.…”
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Monograph -
13
A study on the significance of backlash width values to the performance of the MIQP-based design of MPC
Published 2005“…An approach that has been recently developed involved the integration of the actuator backlash within the framework of Model Predictive Control (MPC) controller algorithm itself. This method, so-called the Mixed-Integer Quadratic Programming (MIQP)-based design of MPC, has been shown through extensive simulation on industrial case studies to be able to handle efficiently actuator saturation and actuator backlash nonlinearities simultaneously. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…The Erosion Potential Method (EPM) used in erosion estimation and sediment yield of the study. …”
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15
The discovery of Top-K DNA frequent patterns with approximate method / Nittaya Kerdprasop and Kittisak Kerdprasop
Published 2014“…We propose an approximate method based on the window sliding concept to estimate data density and obtain data characteristics from a small set of samples. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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17
Enhancing navigation accuracy of Turtlebot3 Burger mobile robot
Published 2024“…To address this challenge, the Kalman Filter algorithm is implemented in this robot, as it is widely used for mobile robot navigation and system integration. …”
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…There are several block-matching algorithm based on block-based motion estimation techniques have been developed. …”
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Book Chapter -
19
An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems
Published 2019“…The improved algorithm is based on hybridization of quasi opposition-based learning in enhanced scatter search (QOBLESS) method. …”
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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…The proposed method inherits the robustness properties of the original RFCH estimators. …”
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