Search Results - (( java data detection algorithm ) OR ( basic complex based algorithm ))
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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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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Book Chapter -
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…Among basic voting algorithms, average voter and weighted average voter have higher availability but unfortunately they have higher time and calculation complexity in large scale systems. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…A GUI is created in a form of JAVA application to display data detected from tag. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017“…Selected basic behaviour-based algorithms such as wallfollower, obstacle avoidance, escape route and target detection are to be combined and its efficiency is measured. …”
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Final Year Project -
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Recursive Subspace Identification Algorithm Using The Propagator Based Method
Published 2017“…However, because of the SVD computational complexity that involved in the algorithm, the classical SMI algorithms are not suitable for online application. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Communication and computational cost on parallel algorithm of PDE elliptic type
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Book Section -
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A New Visual Public-Key Cryptosystem Based On Non-Expansion Technique And Boolean Operations
Published 2011“…However, most of the existing public-key algorithms are based on complex mathematical computations. …”
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An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection
Published 2012“…The algorithm is designed based on two basic works in which to calculate number of trees and divide an area into blocks. …”
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Conference or Workshop Item -
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
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Agent-based extraction algorithm for computational problem solving
Published 2015“…On the other hand, agent-based model offers a good method to solve complex computational problems. …”
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Projected majorized-correlation technique for noise filtering and accuracy in orthogonal frequency division multiplexing
Published 2020“…Moreover, the accuracy of the proposed projected signal (py>) is proven when the sinusoidal signal shows right angle (θ=90°) and the area of recovered projected signal (py>) is reduced by around 46.2891% in cm2 comparing with random signal (y>) in TQM algorithm. In addition to that, by proposing the projected signal (py>) in PQMCC technique, complexity of TQM algorithm is reduced from second order of big notation O(Nc2) to first order O(Nc).In summary, the outcome of PQMCC technique based on noise attenuation, accuracy, and complexity reduction has achieved and proven in this thesis.…”
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