Search Results - (( virtual estimation method algorithm ) OR ( java application learning algorithm ))
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Enhanced location and positioning in wimax networks with virtual mimo base station
Published 2015“…Furthermore, a new hybrid algorithm enhancement of mobile station (MS) location estimation by using a single MIMO base station (SMBS) with the virtual base station has been introduced. …”
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Tracking of dynamic arm motion estimation and interaction with fuzzy control
Published 2016“…For robustly tracking the users arm position, an arm motion estimation method is designed based on the fuzzy predictive control fuzzy Mamdani algorithm theory. …”
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Simulation of Virtual MIMO Base Stations for Mobile Location in IMT-Advanced Networks
Published 2012“…It is known that the location estimation accuracy suffers from poor geometric dilution of precision (GDOP) caused by BS location as the conventional location algorithms which result in large GDOP values correspond to poor geometrical topology. …”
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Improved location and positioning in WiMAX networks with virtual MIMO base stations
Published 2014“…It is known that location estimation accuracy suffers in poor geometric dilution of precision (GDOP) caused by BS location as conventional location algorithms generate large GDOP values which correspond to poor geometrical topology. …”
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Pose estimation algorithm for mobile Augmented Reality based on inertial sensor fusion
Published 2021“…After extensive experiments, the validity of the proposed method was superior to the existing vision-based pose estimation algorithms. …”
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Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach
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Estimation of Response Transfer Functions of Offshore Structures Using the Time-Varying ARX Model
Published 2013“…The proposed approach outlined here has shown the tremendous potential in the estimation of transfer function. The results indicate that TVARX model produces accurate, smooth and less noise TF estimates over DFT method. …”
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Geometric-RANSAC position estimation method for enhanced indoor positioning using multipath signals for single base station systems
Published 2025“…The method considers the formation of a virtual multiple BS system model by treating each of the multipath components received at a mobile station (MS) position as a signal transmitted by a virtual BS. …”
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Estimation of the Epidemiological Parameter for the COVID-19 Outbreak
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…The performance of the channel code depends heavily on the accuracy of virtual channel model that models estimation error for each region. …”
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Non-regularized reconstruction of magnetic moment distribution of magnetic nanoparticles using barnacles mating optimizer
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Hybrid indoor positioning utilizing multipath- assisted fingerprint and geometric estimation for single base station systems
Published 2025“…The methodological framework of the proposed method comprises two main phases which are fingerprinting phase and position estimation phase. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Modeling of cupping suction system based on system identification method
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