Search Results - (( location estimation method algorithm ) OR ( parallel classification based algorithm ))

Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

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Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System by Aljanabi, Mohammad, Mohd Arfian, Ismail, Mezhuyev, Vitaliy

“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
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Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems by Narzullaev, Anvar, Selamat, Mohd Hasan, Sharif, Khaironi Yatim, Muminov, Zahriddin

“…The proposed algorithm combines signal sampling and hyperbolic location estimation techniques to estimate the location of mobile users. …”
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Enhanced location and positioning in wimax networks with virtual mimo base station by Othman, Muhammad Hakim

“…The developed algorithm includes the effect of the geometric dilution of precision (GDOP) to assist with the location estimation accuracy. …”
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Text classification using Naive Bayes: An experiment to conference paper by Sainin, Mohd Shamrie

“…This process is time consuming and may classify papers into unrelated themes.Based on this situation, an automated text document classification can replace the manual classification; hence reduce the decision time.In this paper, the similar algorithm that was applied in the previous experiment for the forum messages classification will be discussed according to the experiment for conference paper classification.…”
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Design and analysis of management platform based on financial big data by Chen, Yuhua, Mustafa, Hasri, Zhang, Xuandong, Liu, Jing

“…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
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Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090) by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Md. Latiff , Nurul Hidayati

“…This creates problem in tracking user location indoor. Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms by Bundak, Caceja Elyca

“…Therefore, both algorithms need more improvement in future works to achieve a better estimation location.…”
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Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems by Narzullaev A., Selamat M.H., Sharif K.Y., Muminov Z.

Utilising MIMO for Location and Positioning in IMT -Advanced Systems by Awang Md Isa, Azmi

“…The results of our simulation demonstrate that the proposed algorithm is significantly more effective in location accuracy than the conventional technique (LLS algorithm) and MIMO antenna configurations can achieve high accuracy for location estimation which meets the Federal Communications Commission (FCC) requirements.…”
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Particle filter approach for tracking indoor user location using IEEE 802.11 signals by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Latiff , N. H. M.

“…This creates problem in tracking user location indoor. Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

“…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
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Short circuit power based fault location algorithm in distribution networks by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Ab Kadir, Mohd Zainal Abidin, Hesamian, Mohammad Hesam, Mohd Radzi, Mohd Amran

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k- Nearest Neighbor Algorithm For Improving Accuracy In Clutter Based Location Estimation Of Wireless Nodes by Muhammad Mansoor Alam, Mazliham Mohd Su'ud, Patrice Boursier, Shahrulniza Musa

“…This research is focusing on the precise location estimation of mobile node by using k - nearest neighbor algorithm (k-NN). …”

Fault localization on power cables using time delay estimation of partial discharge signals by Chin, Kui Fern, Chai, Chang Yii, Asfarina Abu Bakar, Ismail Saad, Kenneth Teo Tze Kin, Megat Muhammad Ikhsan Megat Hasnan, Nur Aqilah Mohamad

“…The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. …”
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

“…They used the classical bootstrap method to estimate the bootstrap location and the scale parameters based on calculating the Mean of Squared Residual (MSR). …”
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Parallel visualization approach of a 3D heart model by Malekpour, A., Ling, T.C., Lim, W.C.

“…The basis of this technique is that the location of an object is estimated using an estimation algorithm and the radio frequency (RF) fingerprint database as a reference. …”
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A modified reweighted fast consistent and high-breakdown estimator for high-dimensional datasets by A. Baba, Ishaq, Midi, Habshah, June, Leong W., Ibragimov, Gafurjan

“…As a result, we achieve a robust and efficient high-dimensional procedure for computing location and scatter matrix estimates and a powerful outlier detection 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 by Baba, Ishaq Abdullahi

“…The reweighted fast, consistent and high breakdown (RFCH) estimator is a multivariate procedure used to estimate the robust location and scatter matrix. …”
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