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601
Coverage Properties of a Neural Network Estimator of Finite Population Total in High-Dimensional Space
Published 2022-01-01“…The results presented in this paper show good performance in terms of bias, MSE, and mean absolute error for the feedforward backpropagation neural network estimator as compared to other identified existing estimators of finite population total in high-dimensional datasets. …”
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602
Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
Published 2024-01-01Get full text
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603
Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability
Published 2025-01-01Get full text
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604
More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network
Published 2025-01-01“…In this study, we make use of Resnet 34, a well-known convolutional neural network (CNN) architecture, to identify RRab stars with BL from phased light curves collected from OGLE. …”
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605
Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques
Published 2024-01-01“…This paper presents a new proposed method to discriminate the transformer’s internal fault from the inrush current; the discrimination process is based on a convolutional neural network (CNN) with a combination of the higher order spectral estimations that perform a deep learning classification with high accuracy. …”
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606
Mortality Predicted Accuracy for Hepatocellular Carcinoma Patients with Hepatic Resection Using Artificial Neural Network
Published 2013-01-01“…The aim of this present study is firstly to compare significant predictors of mortality for hepatocellular carcinoma (HCC) patients undergoing resection between artificial neural network (ANN) and logistic regression (LR) models and secondly to evaluate the predictive accuracy of ANN and LR in different survival year estimation models. …”
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607
Application of artificial neural networks for predictive model of municipal solid waste collection in tourist cities
Published 2024-10-01Subjects: “…artificial neural networks (ann)…”
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608
The Promotion Effect of Computer-Aided Technology Combined with RBF Neural Network Algorithm on Art Design
Published 2022-01-01“…In order to improve the effect of fractal art pattern design, this study combines RBF neural network algorithm to design and evaluate CAD fractal art pattern to improve the effect of fractal art pattern design. …”
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609
Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments
Published 2025-01-01Subjects: Get full text
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610
Classification of Myopathy and Amyotrophic Lateral Sclerosis Electromyograms Using Bat Algorithm and Deep Neural Networks
Published 2022-01-01“…The performance of deep neural network exerting selected features from bat algorithm was compared with conventional artificial neural network. …”
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611
Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network
Published 2016-01-01“…The authors suggest a new hybrid neural network which is a combination of the standard RBF neural network, a genetic algorithm, and a moving average. …”
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612
Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks
Published 2025-01-01Subjects: Get full text
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613
A low functional redundancy-based network slimming method for accelerating deep neural networks
Published 2025-04-01Subjects: “…Deep neural networks…”
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614
DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK
Published 2020-09-01Subjects: Get full text
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615
A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks
Published 2009-01-01“…FPGA devices have emerged as a popular platform for the rapid prototyping of biological Spiking Neural Networks (SNNs) applications, offering the key requirement of reconfigurability. …”
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616
Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM
Published 2021-01-01“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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617
Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module
Published 2024-03-01“… In this work, an Artificial Neural Network (ANN) with a backward-propagation technique was used to predict the power generation of the Photovoltaic (PV) module in weather conditions of Baghdad city-Iraq. …”
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618
Analysis of Marketing Prediction Model Based on Genetic Neural Network: Taking Clothing Marketing as an Example
Published 2022-01-01“…With the development of genetic neural network technology, this technology has been more and more widely used in signal processing, pattern recognition and other application fields. …”
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619
A convolutional neural network model and algorithm driven prototype for sustainable tilling and fertilizer optimization
Published 2025-01-01“…This paper evaluates whether optimizing tillage intensity, timing, and fertilizer quantity using a convolutional neural network model and algorithm will address these problems. …”
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620
Neural Network-Based Parameter Estimation and Compensation Control for Time-Delay Servo System of Aeroengine
Published 2025-01-01Subjects: Get full text
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