Search Results - (( motion evaluation swarm algorithm ) OR ( user identification using algorithm ))
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A review on particle swarm optimization algorithm and its variants to human motion tracking
Published 2014“…Several approaches have been proposed in the literature using different techniques.However, conventional approaches such as stochastic particle filtering have shortcomings in computational cost, slowness of convergence, suffers from the curse of dimensionality and demand a high number of evaluations to achieve accurate results. Particle swarm optimization (PSO) is a population-based globalized search algorithm which has been successfully applied to address human motion tracking problem and produced better results in high-dimensional search space.This paper presents a systematic literature survey on the PSO algorithm and its variants to human motion tracking. …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…This decreases the detection efficiency and degrades the target tracking output. Also, the current motion target detection algorithms extract features from the relevant object only if the moving object has complex texture features. …”
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Multi-state PSO GSA for solving discrete combinatorial optimization problems
Published 2016“…Two examples of meta-heuristics are Particle swarm optimization (PSO) and gravitational search algorithm (GSA), which are based on the social behavior of bird flocks and the Newton's law of gravity and the law of motion, respectively. …”
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Synchronous gravitational search algorithm vs asynchronous gravitational search algorithm: a statistical analysis
Published 2014“…Gravitational search algorithm (GSA) is a new member of swarm intelligence algorithms. …”
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EMG Feature Selection And Classification Using A Pbest-Guide Binary Particle Swarm Optimization
Published 2019“…After which pbest-guide binary particle swarm optimization (PBPSO) is used to evaluate the most informative features from the original feature set. …”
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Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem
Published 2015“…Gravitational search algorithm swarm (GSA) is a metaheuristic optimization algorithm, which is based on the Newton's law of gravity and the law of motion, has been successfully applied to solve various optimization problems in real-value search space. …”
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3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…Two optimization algorithms are presented in this work which are Spiral Dynamic Algorithm (SDA) and Particle Swarm Optimization (PSO). …”
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Effective predicate identification algorithm for XML retrieval
Published 2018“…Finally, an effective predicate identification algorithm (EPIA) which uses EBQS and STPS to return relevant predicates is introduced. …”
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Liquid Slosh Control By Implementing Model-Free PID Controller With Derivative Filter Based On PSO
Published 2020“…The PSO tuning method is compared by heuristic tuning method in order to show the effectiveness of the proposed tuning approach. The performance evaluations of the proposed tuning method are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction in time domain. …”
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Liquid slosh control by implementing model-free PID controller with derivative filter based on PSO
Published 2020“…The PSO tuning method is compared by heuristic tuning method in order to show the effectiveness of the proposed tuning approach. The performance evaluations of the proposed tuning method are based on the ability of the tank to follow the input in horizontal motion and liquid slosh level reduction in time domain. …”
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Furthermore, it employs Predicates Identification Algorithm (PIA) and Entity Identification Algorithm (EIA) to identify user search intention. …”
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Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm
Published 2020“…For addressing these points, a novel person identification method that is using EEG with multi-level wavelet decomposition and multi-objective flower pollination algorithm is proposed in this thesis. …”
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Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model
Published 2001“…The implementation and the computational aspects of the training algorithm are also highlighted. Three examples of discrete-time nonlinear systems are used in the simulation study to show the effects of user selected conditions on the identification process. …”
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An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias
Published 2017“…Android smartphone is used in order to test this algorithm.…”
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Smart cards and the fingerprint: a framework for user identification and authentication
Published 2003“…As a result, the research proposed a framework for user identification and authentication in automatic-teller-machine (ATM) systems using fingerprints and smart cards as opposed to the PIN and magnetic-stripe cards.…”
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Tag clouds algorithm with the inclusion of personality traits
Published 2015“…This algorithm is beneficial for decision making using information visualization in which personality traits of the user are heavily inclined. …”
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Identifying the influential spreaders in multilayer interactions of online social networks
Published 2016“…The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.…”
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Online fingerprint recognition
Published 2010“…Fingerprints are the most popularly used in biometric identification and recognition systems, because they can be easily used and their features are highly reliable. …”
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