Search Results - (( virtual estimation method algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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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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Mining Sequential Patterns using I-PrefixSpan
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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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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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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Thesis -
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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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