Search Results - (( java evolution optimization algorithm ) OR ( based robust classification algorithm ))
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…In addition, an agent-based framework is capitalized as a robust ensemble model to house multiple EFMM-based networks. …”
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A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition
Published 2020“…In this paper, efficient and fastidious classification is performed by analysing the frequency bands of the input EEG signal via discrete wavelet transform, which is relying on the deep convolutional neural network based classification. …”
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Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
Published 2019“…This model implements Non-Recursive Phasor Estimation (NRPE) algorithm. Secondly, the study proposes an index for faulty node classification (FNC) based on the positive sequence voltage (PSV) measurements of the pre-fault and post-fault conditions. …”
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Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media
Published 2024“…Overall, the MCML classification algorithm is proven to be used as a benchmark for early detection of text-based mental health disorders.…”
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Swarm negative selection algorithm for electroencephalogram signals classification
Published 2009“…Such automated systems must rely on robust and effective algorithms for detection and prediction. …”
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New Algorithm of Location Model based on Robust Estimators and Smoothing Approach
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Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning
Published 2015“…The classification of pornographic images was made more robust to the variation of images despite size engineering problems. …”
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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…In addressing this problem, some robust procedures for high dimensional dataset via the RFCH algorithm are developed. …”
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Robust generic Structured Document Classification System / Hamam M.Ibrahim Mokayed
Published 2017“…This study is a good base for finding reliable thresholding algorithm. …”
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An accurate infant cry classification system based on continuos hidden Markov model
Published 2023“…The classification system is trained based on Baum -Welch algorithm on a pair of local feature vectors. …”
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Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition
Published 2021“…This study identified that the combination of FID3 algorithm with FUZZYDBD method is reliable, robust and managed to perform well in breast cancer classification.…”
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Analysis and comparison of classification algorithms for credit approval in Islamic banks
Published 2025“…This study evaluates the performance of various classification algorithms, including C4.5, Random Forest, Decision Tree, K-Nearest Neighbors, and Naïve Bayes, in predicting credit approval decisions based on factors such as character, capacity, capital, collateral, and economic conditions. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
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Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim
Published 2025“…Confusion matrix analysis confirmed the robustness of the LM-based classifier across varying input data ratios. …”
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Diabetic Retinopathy Detection Model using Hybrid of U-Net and Vision Transformer Algorithms
Published 2024“…Now, we present a hybrid model which is a combination of U-Net algorithm used for image segmentation and Vision Transformer for classification. …”
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New Instances Classification Framework On Quran Ontology Applied To Question Answering System
Published 2019“…This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. …”
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