بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
develop a » developing a (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
develop a » developing a (توسيع البحث)
element » elements (توسيع البحث)
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521
DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications
منشور في 2024"…The system comprises four VLC access points with light fixtures, reinforced by a mirror array sheet, and a mmWave access point with antennas, supported by a reflecting unit sheet. …"
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522
Neural network-based failure rate prediction for De Havilland Dash-8 tires
منشور في 2006"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables and the output is the failure rate of the tires. …"
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article -
523
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …"
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524
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
منشور في 2023"…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …"
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525
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
منشور في 2006"…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables, and the output is the failure rate of the tires. …"
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article -
526
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527
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"
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528
Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
منشور في 2020"…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …"
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529
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
منشور في 2024"…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …"
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530
Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant
منشور في 2007"…In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. …"
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531
On the complexity of multi-parameterized cluster editing
منشور في 2017"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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article -
532
Turbo-charging dominating set with an FPT subroutine
منشور في 2017"…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …"
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conferenceObject -
533
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534
Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials
منشور في 1997"…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
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masterThesis -
535
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
منشور في 2025"…To address the specific characteristics of the Benders sub-problem, we define a novel tandem sequence structure and develop a tandem-sequence-based column generation for solving the Benders sub-problem. …"
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536
Adaptive false discovery rate for wavelet denoising of pavement continuous deflection measurements
منشور في 2016"…The denoising methodology comprises a computational algorithm to identify significant features in a high-dimensional vector of observations containing white Gaussian noise. …"
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article -
537
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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538
A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
منشور في 2022"…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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539
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540
Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"