Search Results - (( (federation OR moderation) classifications technique ) OR ( evolution computing techniques ))
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1
Adaptive federated learning model with unsupervised autoencoder-based reconstruction for imbalanced medical image classification
Published 2026“…These consistent gains indicate the framework’s scalability and robustness for federated medical image classification under real- world imbalance conditions.…”
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Proceeding Paper -
2
Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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3
Differential evolution technique of HEPWM for three-phase voltage source inverter
Published 2016“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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4
Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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5
Comparison of measured maxillo-pharyngeal angle on lateral cervical radiograph & modified mallampati classification in predicting difficult laryngoscopy
Published 2015“…Available techniques have poor to moderate sensitivity and reliability for the task. …”
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6
An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab
Published 2020“…Our proposed method introduces the intra-severity classification and adaptation techniques which are applied sequentially in two stages of system development. …”
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7
Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping
Published 2007“…Conventional per-pixel classification techniques could not improve the classification accuracy when such high-resolution images are applied. …”
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8
Modeling 2D appearance evolution for 3D object categorization
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Proceeding Paper -
9
Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
Published 2015“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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10
Determination and classification of human stress index using non parametric analysis of EEG signals / Norizam Sulaiman
Published 2015“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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11
HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD
Published 2016“…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. In this technique, the Heat Exchanger Network synthesis is carried out in three levels. …”
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12
A telemedicine software application for asthma severity levels identification using wheeze sounds classification
Published 2022“…MFCC-based features classification provides maximum accuracy of 99%, 90%, and 89% for mild, moderate, and severe samples, respectively. …”
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13
Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
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14
Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals
Published 2024“…Accordingly, the primary goal of this study is to use the pre-trained CNNs as classifiers in order to reap the benefits of transfer learning, and the secondary goal is to propose a hybrid model by employing decision tree (DT), K nearest neighbour (KNN), and a Support Vector Machine (SVM) machine learning classification techniques to categorise the features of the pre-trained CNN networks into mild, moderate, severe, and normal categories. …”
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15
Determination and classification of human stress index using non-parametric analysis of EEG signals
Published 2015“…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat
Published 2016“…Therefore, this research proposes a new computational technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) as an approach to solve the complex economic dispatch process. …”
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Book Section -
18
Major issues in the development of a Hacker's Code of Ethics / Ahmad Hafidz Baharom Alam Shah
Published 2005“…The first day, the computer was invented. The next day it was hacked. …”
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19
Change detection of green spaces in Putrajaya using remote sensing technique
Published 2019“…The study shows the effectiveness, accuracy of remote sensing technique in monitoring the land cover change.…”
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Project Paper Report -
20
Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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Proceeding Paper
