Search Results - (( parallel identification using algorithm ) OR ( using classification using algorithm ))
Search alternatives:
- parallel identification »
- identification using »
- using classification »
- classification using »
- using algorithm »
-
1
Parallel implementation of genomic sequences classification using modified gabor wavelet transform on multicore systems
Published 2012“…Single Program Multiple Data (SPMD) parallel paradigm will be used in the parallel implementation. …”
Get full text
Get full text
Proceeding Paper -
2
Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
Get full text
Get full text
Get full text
Article -
3
-
4
Human gait recognition and classification using similarity index for various conditions
Published 2013Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
5
-
6
Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…As almost all finger vein recognition algorithms were implemented using software such as MATLAB which is based on general-purpose processor, the processing speed become the bottleneck of the development of finger vein recognition. …”
Get full text
Get full text
Thesis -
7
Projecting named entity tags from a resource rich language to a resource poor language
Published 2012“…Named Entity Recognition (NER) is the identification of words in text that correspond to a pre-defined taxonomy such as person, organization, location, date, time, etc.This article focuses on the person (PER), organization (ORG) and location (LOC) entities for a Malay journalistic corpus of terrorism.A projection algorithm, using the Dice Coefficient function and bigram scoring method with domain-specific rules, is suggested to map the NE information from the English corpus to the Malay corpus of terrorism.The English corpus is the translated version of the Malay corpus.Hence, these two corpora are treated as parallel corpora. …”
Get full text
Get full text
Get full text
Article -
8
Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…The algorithm has been effectively evaluated using our own terrorism tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure. …”
Get full text
Get full text
Article -
9
Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…The algorithm has been effectively evaluated using our own terrorism tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure. …”
Get full text
Get full text
Article -
10
Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…The algorithm has been effectively evaluated using our own terrorism tagged corpus; it achieved satisfactory results in terms of precision, recall, and F-measure. …”
Get full text
Get full text
Article -
11
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…A back-propagation (BP) network with Levenberg-Marquardt training algorithm has been used for the detection of gesture. …”
Get full text
Get full text
Get full text
Proceeding Paper -
12
Transient electromagnetic-thermal nondestructive testing
Published 2017“…Sections on defect identification, classification and quantification are covered, as are advanced algorithms, principal components analysis (PCA), independent components analysis (ICA) and support vector machine (SVM). …”
Get full text
Get full text
Get full text
Book -
13
An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
Published 2018“…These findings suggest the potential use of this software as aided tool for radiologist in detecting WMH, especially to predict patients with higher risk of several chronic diseases.…”
Get full text
Get full text
Book Section -
14
An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa
Published 2018“…These findings suggest the potential use of this software as aided tool for radiologist in detecting WMH, especially to predict patients with higher risk of several chronic diseases.…”
Get full text
Get full text
Thesis -
15
Tile-Level Parallelism For H.264/Avc Codec Using Parallel Domain Decomposition Algorithm On Shared Memory Architecture
Published 2015“…By assuming that parallel architectures are forming the vast majority of computing nodes in digital devises, proposing inherently-parallel algorithms are no more an overstatement. …”
Get full text
Get full text
Thesis -
16
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…Best Hammerstein parallel NN polynomial based model and series-parallel NN polynomial model are 88.75% and 93.9% respectively, for best Hammerstein parallel NN sigmoid based model and series-parallel NN sigmoid based model 78.26% and 95.95% respectively, and for best Hammerstein parallel NN hyperbolic tangent based model and series-parallel NN hyperbolic tangent based model 70.7% and 96.4% respectively. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…A parallel manipulator is a closed loop mechanism which consists of a moving platform that is connected to a fixed base by at least two kinematic chains in parallel. …”
Get full text
Get full text
Thesis -
18
Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…Vein biometric system uses the pattern of veins in the human body as a unique identification. …”
Get full text
Get full text
Get full text
Thesis -
19
A comparison study between integrated OBFARX-NN and OBF-NN for modeling of nonlinear systems in extended regions of operation
Published 2014“…A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters-Auto regressive with exogenous input (OBFARX) and a nonlinear neural network (NN) models is developed. …”
Get full text
Get full text
Article -
20
Integrated OBF-NN models for extrapolation enhancement in conventional neural networks for nonlinear systems
Published 2011“…A residuals-based sequential identification algorithm using parallel integration of linear Orthornormal basis filters (OBF) and a nonlinear feedforward (MLP) NN model is used and applied to the nonlinear Van de Vusse reactor. …”
Get full text
Get full text
Get full text
Conference or Workshop Item
