Search Results - (( _ estimation ((mead algorithm) OR (max algorithm)) ) OR ( based simulation based algorithm ))*
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1
Improved Location And Positioning Utilizing Single MIMO Base Station In IMT-Advanced System
Published 2016“…The Single MIMO Base Station (SMBS) in mobile WiMAX is combined with a virtual technique, known as the Virtual Base Stations, created a novel algorithm for location and positioning (L&P) purposes. …”
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2
Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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3
Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…In this study, several algorithms are proposed to guarantee high efficiency of resource allocations among a variety of smart grid applications (flat priority based and specific priority based scheduling algorithms), such as distribution automation, voice, video surveillance and advanced metering infrastructure. …”
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4
Improved location and positioning in WiMAX networks with virtual MIMO base stations
Published 2014“…The results of the simulations demonstrate that the proposed algorithm allows up to 30 percent improvement in L&P accuracy without additional expenditure on network architecture.…”
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5
Hybrid TOA-Based MIMO and DOA-Based Beamforming for Location and Positioning in WiMAX Networks
Published 2012“…The proposed hybrid technique called as hybrid multiple linear lines of position (HMLLOP) algorithm extends the fundamental idea of using the multiple linear lines of position (MLLOP) scheme when extra information in the form of direction of arrival (DOA) measurements at a minimum of three base stations (BSs) is available. …”
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RSS-based indoor localization system with single base station
Published 2021“…The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. …”
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7
Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search
Published 2014“…Hybrid genetic algorithm (GA) and Nelder-Mead local search mode 1 has been used to minimize demand estimation errors. …”
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8
WIMAX TESTBED
Published 2008“…The testbed will use the Double Sliding Window for timing offset synchronization and the Schmid! & Cox algorithm for Fractional Frequency Offset estimation. …”
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9
Simulation of COVID-19 outbreaks via graphical user interface (GUI)
Published 2021“…An improved SIRD model was solved via the 4th order Runge-Kutta (RK4) method and 14 unknown parameters were estimated by using Nelder- Mead algorithm and pattern-search technique. …”
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Impact of multiplay transmission in mobile WIMAX using overlay scanning: article / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…The mobile WiMAX air interface utilizes orthogonal frequency division multiple access (OFDMA) as the preferred multiple-access method in the downlink (DL) and uplink (UL) for improved multipath performance and bandwidth scalability.All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism (OSMA) algorithm. …”
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Impact of multiplay transmission in mobile WIMAX using overlay scanning / Akmarya Syukhairilnisah Mohd Akhir
Published 2014“…All simulations are run using MATLAB software to develop a new Overlay Scanning Mechanism(OSMA) algorithm. …”
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12
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…The first step, ANN was calibrated and validated by using daily observed evapotranspiration, rainfall, and stream flow (2003-2012). In order to estimate daily evapotranspiration, daily observed Min and Max temperature was used in the estimation based on Hargreaves-Samani equation. …”
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13
Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Nelder-Mead outperforms the other optimization algorithm with the least error. …”
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An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem
Published 2021“…,e application of SGD, Adam, adaptive moment estimation with maximum (AdaMax), Nesterov-accelerated adaptive moment estimation (Nadam), AMSGrad, and AdamSE algorithms to solve the meanvariance portfolio optimization problem is further investigated. …”
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15
Maximum 2-satisfiability in radial basis function neural network
Published 2020“…In this study, the effectiveness of RBFNN-MAX2SAT can be estimated by evaluating the proposed models with testing data sets. …”
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Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…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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17
Enhancement Of Wifi Indoor Positioning System
Published 2011“…The algorithm calculates the distances from the RSSs col- lected around the area, and checks for an error occurrence after the location estimation is calcu- lated with Least Square Algorithm (LSA). …”
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18
Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
Published 2018“…The suggested approaches are called new approach to min-max (NAMM) and decimal scaling (NADS). The Hybrid mean algorithms which are based on spherical clusters is also proposed to remedy the most significant limitation of the K-Means and K-Midranges algorithms. …”
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19
Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…This study is aimed to formulate an optimization-based algorithm with simulation tool to reduce the throughput time of complex RMS, which can comply with complex product allocations and flexible routings of the system. …”
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20
A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
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