Search Results - (( sensing using optimization algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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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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A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…Particle Swarm Optimization has been used in the proposed algorithm to minimize the fitness function. …”
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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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Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio
Published 2010“…Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.…”
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Mining Sequential Patterns using I-PrefixSpan
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A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network
Published 2016“…Thirdly, a RL based cooperative channel sensing scheme where a clusterhead learns channels dynamic behaviours in terms of channel availability, channel sensing energy cost and channel impairment to achieve optimal sensing sequence and optimal set of channels. …”
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Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site
Published 2018“…So, this thesis experiments to ascertain the optimal surveying patterns and sensing parameters required to accurately sense methane gas clouds with minimal selfinduced air disturbance. …”
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Summary of best efficient algorithms on cognitive radio cooperative spectrum sensing to improve QoS
Published 2014“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO) and imperialistic competitive algorithm (ICA) will be well mentioned in details and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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Conference or Workshop Item -
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Speech compression using compressive sensing on a multicore system
Published 2011“…All parameters will be optimized using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Proceeding Paper -
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
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Improvement of wiener filter based speech enhancement using compressive sensing
Published 2014“…The objective measure will optimize using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Proceeding Paper -
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Genetic fuzzy scheduler for spectrum sensing in cognitive radio networks
Published 2012“…The second technique proposed by this paper is heuristic-based scheduling algorithm. This algorithm is used as supporting mechanism for the genetic FIS scheduler. …”
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Novel distributed algorithm for coalition formation for enhanced spectrum sensing in cognitive radio networks
Published 2017“…The coalitions formed using the algorithm are stable and do not deviate from the final matching. …”
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Modified multi verse optimizer for solving optimization problems using benchmark functions
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MAC Protocol for Opportunistic Spectrum Access in Cognitive Radio System
Published 2011“…Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.…”
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Dynamic positioning base station for wireless sensor network using particle swarm optimization (PSO)
Published 2012“…This creates unbalanced energy consumption among all sensor nodes and furthermore reduces the network energy efficiency. Since the optimal selection of base station location in a network belongs to nondeterministic polynomial (NP) hard problem, the use of approximation algorithms such as Particle Swarm Optimization (PSO) are generally more suitable due to its simplicity and outstanding search strength.…”
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