Search Results - (( using simulation method algorithm ) OR ( pattern classification matching algorithm ))
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Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Addition of hybrid automata algorithm to run pattern and non-pattern recognition based control methods is an advantage to increase accuracy in differentiating forward stroke or hand return activity. …”
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The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
Published 2016“…While the algorithm helped to classify different types of wavelengths produced from the sensor, a classification-based algorithm via Pattern Recognition Method will be used to classify and match the food components. …”
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Converged Classification Network For Matching Cost Computation
Published 2020“…Overall quantitative results for the proposed work performed competitively compared to other established stereo matching algorithm based on the Middlebury standard benchmark online system.…”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…That is, to use training speech patterns to generate classification rules that can be used later to classify input words patterns. …”
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Improved GART neural network model for pattern classification and rule extraction with application to power systems
Published 2023“…Generalized adaptive resonance theory (GART) is a neural network model that is capable of online learning and is effective in tackling pattern classification tasks. In this paper, we propose an improved GART model (IGART), and demonstrate its applicability to power systems. …”
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Iban Plaited Mat Motif Classification using Adaptive Smoothing
Published 2024“…First, the accuracy of the Scale Invariant Feature Transform (SIFT) combined with the Random Sample Consensus (RANSAC) algorithm was assessed on the dataset. The optimal peak threshold value for SIFT is reported to be 2.0e-2, and it achieved 100.0% matching accuracy for scale and rotation set. …”
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Classification of Emphysema Patterns in Computed Tomography Based On Gabor Filter
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Final Year Project -
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A new mobile malware classification for call log exploitation
Published 2024journal::journal article -
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Finger Vein Recognition Using Pattern Map As Feature Extraction
Published 2012“…Every fmger vein image is then transformed into pattern map images from a pattern matching process between an input finger vein image and the pattern templates. …”
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Thesis -
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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Mobile Malware Classification via System Calls and Permission for GPS Exploitation
Published 2024Article -
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation
Published 2024thesis::master thesis -
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Predicting Cheaters in PlayerUnknown’s Battlegrounds (PUBG) using Random Forest Algorithm
Published 2023“…The primary goal is to use the Random Forest algorithm, an effective machine learning technique, to predict instances of cheating based on the behavioural patterns of participants. …”
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Final Year Project Report / IMRAD -
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Feature extraction for face recognition via Active Shape Model (ASM) and Active Appearance Model (AAM)
Published 2018“…Biometric is a pattern recognition system which is used for automatic recognition of persons based on characteristics and features of an individual. …”
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FACE CLASSIFICATION FOR AUTHENTICATION APPROACH BY USING WAVELET TRANSFORM AND STATISTICAL FEATURES SELECTION
Published 2011“…Two of them based on pattern (template) Matching Approach, and the other based on clustering approach. …”
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Development and application of an enhanced ART-Based neural network
Published 2009Get full text
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