Search Results - (( feature reduction using algorithm ) OR ( java application using algorithm ))
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1
An evaluation of feature selection technique for dendrite cell algorithm
Published 2014“…Although there are many feature selection algorithms have been used in identifying appropriate features for dendrite cell signals, there are algorithms that never been investigated and limited work to compare performance among them. …”
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2
Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO
Published 2014“…This paper proposes the integration of feature reduction and data reduction for fuzzy modeling using Cooperative Binary Particle Swarm Optimization (CBPSO). …”
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3
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
4
Enhanced dimensionality reduction methods for classifying malaria vector dataset using decision tree
Published 2021“…The proposed algorithm is used to fetch relevant features based from the high-dimensional input feature space. …”
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Article -
5
Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…In both datasets, the nature-inspired optimization algorithms have achieved remarkable feature reduction, demonstrating reductions of 48% and 50% respectively. …”
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6
Feature selection via dimensionality reduction for object class recognition
Published 2011“…This paper investigates the effects of feature selection via dimensionality reduction techniques for the task of object class recognition. …”
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Provider independent cryptographic tools
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Monograph -
9
Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…First, features selection algorithms (genetic algorithm (GA), random forest (RF), and support vector machine-feature selection (SVM-FS)) were used to select the most significant frequencies. …”
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Thesis -
10
Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
Published 2013“…Secondly reducing the numbers of extracted features vector using the concept of Principal Component Analysis (PCA) for features selection and vectors dimensionality reduction. …”
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11
Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm
Published 2015“…In this research work, a simultaneous feature reduction, network pruning and weight/biases selection is presented using fitness function design which penalizes selection of large feature sets. …”
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12
Development of novel algorithm features in the modelling of cyclic processes
Published 2002“…In principle, the algorithm could be used for many cyclic process. Air separation using rapid pressure swing adsorption (RPSA) is used as an illustration. …”
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13
An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis
Published 2022“…The higher the TERR threshold value is set, the more the feature subset size will be, regardless of the type of clustering algorithm and the clustering evaluation criterion are used. …”
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Book Chapter -
14
Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…Feature selection or attribute reduction is a crucial process to achieve optimal data reduction for classification task. …”
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Book Section -
15
Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching
Published 2017“…The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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16
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In these experiments four different assessment criteria were used. The rdemonstrate that ISSA outperforms all baseline algorithms in terms of fitness values, accuracy, convergence curves, and feature reduction in most of the used datasets. …”
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Article -
17
Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering
Published 2018“…In this study, a new method for solving the TD clustering problem worked in the following two stages: (i) A new feature selection method using particle swarm optimization algorithm with a novel weighting scheme and a detailed dimension reduction technique are proposed to obtain a new subset of more informative features with low-dimensional space.…”
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Thesis -
18
Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks
Published 2018“…The selected algorithms for the reduction algorithm in the transmissions include Move Average algorithm (MA), Autoregressive all-pole model parameters — Burg’s algorithm. …”
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19
A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…The third layer encompasses a dynamic model creation algorithm, termed Synchronous Targeted Feature Reduction (STFR). …”
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20
Dataset size and dimensionality reduction approaches for handwritten farsi digits and characters recognition / Mohammad Amin Shayegan
Published 2015“…Also, the number of features is decreased by proposing a new technique for dimensionality reduction. …”
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