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2161
Research on Design of Intelligent Background Differential Model for Training Target Monitoring
Published 2021-01-01“…At the same time, compared with traditional methods, it also has a higher detection efficiency.…”
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2162
Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network
Published 2021-01-01“…The average error of the prediction results is 1.45%, which suggests that the proposed method can achieve accurate detection and quantitative characterization of the porosity of TBCs with complex pore morphology.…”
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2163
The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing
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2164
Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification
Published 2025-01-01“…The proposed model comprises three key components: (1) a fine-tuned EfficientNetB7 convolutional neural network (CNN), adapted through transfer learning by freezing the initial layers and retraining subsequent layers to optimize feature extraction from MR images; (2) a channel attention module that refines extracted feature maps, emphasizing essential features for accurate tumor detection; and (3) a fully connected classifier, optimized through grid search, to achieve precise multiclass tumor classification. …”
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2165
Forecasting Financial Crashes: Revisit to Log-Periodic Power Law
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2166
A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm
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2167
Optimization of Cross-Border e-Commerce Logistics Supervision System Based on Internet of Things Technology
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2168
A New Hybrid Model for Underwater Acoustic Signal Prediction
Published 2020-01-01“…In order to reduce the complexity of underwater acoustic signal sequence and improve operation efficiency, the original signal is decomposed by VMD into intrinsic mode components (IMFs) according to the characteristics of the signal, and dispersion entropy (DE) is used to analyze the complexity of IMF. …”
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2169
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2170
GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification
Published 2020-01-01“…We propose an aggregator based on extreme learning machine (ELM) that boosts the aggregation ability and efficiency of graph convolution without iterative tuning. …”
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2171
A Damage Classification Approach for Structural Health Monitoring Using Machine Learning
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2172
Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
Published 2021-01-01“…In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. …”
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2173
Coordinate Control of Power/Current for Grid-Connected Inverter Based on PCI Controller under Unbalanced Grid Conditions
Published 2019-01-01“…The proposed control is achieved by adjusting the weight coefficient of current reference values to change the current harmonic contents based on proportional complex integral (PCI) controller and proportional multiple complex integral (PMCI) controller. …”
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2174
Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm
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2175
A Generalized Modularity for Computing Community Structure in Fully Signed Networks
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2176
Design of a Control Chart Based on COM-Poisson Distribution for the Uncertainty Environment
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2177
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2179
Sign Prediction on Social Networks Based Nodal Features
Published 2020-01-01“…The experiments on real big social data proved the feasibility and efficiency of the SPR model: Comparing with some popular predication methods, the SPR model in this issue shows lower complexity and higher accuracy. …”
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2180
A Novel Synchronization-Based Approach for Functional Connectivity Analysis
Published 2017-01-01“…The synchronization metric is also compared with Pearson’s correlation coefficient and the detected communities seem to better reflect the functional brain organization during the specific task.…”
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