بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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361
HPTS: heterogeneous parallel tabu search for VLSI placement
منشور في 2002"…In this work, a parallel tabu search algorithm for heterogeneous workstations is presented using PVM. …"
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article -
362
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 -
363
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 -
364
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365
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 -
366
On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints
منشور في 2022"…To solve e-TRS, we use the alternating direction method of multipliers approach and a branch and bound algorithm. …"
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367
A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…In this research, we propose and evaluate a modified version of a deep learning algorithm called U-Net architecture for partitioning histopathological images. …"
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368
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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احصل على النص الكامل
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369
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370
Protein structure prediction in the 3D HP model
منشور في 2009"…It is found that the results of the PSO algorithm are better than those of previous algorithms…"
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احصل على النص الكامل
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conferenceObject -
371
Adaptive Chip-Level Channel Estimation for IMT-DS System: DL and UL
منشور في 2005"…In this paper, chip-level adaptive channel estimation has been explored by using LMS algorithm for wideband CDMA channel estimation. …"
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article -
372
Theoretical Estimation of the Dispersion Curves in an Orthotropic Composite Plate
منشور في 2024"…In this work, root-finding using the bisection algorithm is proposed to solve the transcendental dispersion relations and evaluate the dispersion curves of ultrasonic-guided waves propagating in an orthotropic composite plate. …"
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373
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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article -
374
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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احصل على النص الكامل
article -
375
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
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376
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …"
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377
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
منشور في 2022"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"
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378
Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches
منشور في 2018"…CdTe Thin Film After running the algorithm and comparing results with the existing periodic based manual cleaning approach of 5 days currently in place in the Mohammed bin Rashid 13 MW solar park, it was found that the best approaches (in order of best to worst) were: 1. …"
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379
Collision-Free Autonomous Navigation Solution for Mobile Wheeled
منشور في 2023احصل على النص الكامل
doctoralThesis -
380
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
منشور في 2021"…Specifically, short local histograms are drawn to represent individual appliance consumption signatures and robustly extract appliance-level data from the aggregated power signal. Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"