Found: 18
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Short‐term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm.
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- IET Renewable Power Generation (Wiley-Blackwell), 2017, v. 11, n. 4, p. 374, doi. 10.1049/iet-rpg.2016.0118
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- Article
Hemodynamic Analysis and Diagnosis Based on Multi-Deep Learning Models .
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- Fluid Dynamics & Materials Processing, 2023, v. 19, n. 6, p. 1369, doi. 10.32604/fdmp.2023.024836
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- Article
MNIST Handwritten Digit Classification Based on Convolutional Neural Network with Hyperparameter Optimization.
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- Intelligent Automation & Soft Computing, 2023, v. 36, n. 3, p. 3595, doi. 10.32604/iasc.2023.036323
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- Article
Expression-robust 3D face recognition based on feature-level fusion and feature-region fusion.
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- Multimedia Tools & Applications, 2017, v. 76, n. 1, p. 13, doi. 10.1007/s11042-015-3012-8
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- Article
Short-term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China.
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- IET Generation, Transmission & Distribution (Wiley-Blackwell), 2016, v. 10, n. 11, p. 2585, doi. 10.1049/iet-gtd.2015.0911
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- Article
Short‐term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China.
- Published in:
- IET Generation, Transmission & Distribution (Wiley-Blackwell), 2016, v. 10, n. 11, p. 2585, doi. 10.1049/iet-gtd.2015.0911
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- Publication type:
- Article
Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection.
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- CMES-Computer Modeling in Engineering & Sciences, 2024, v. 140, n. 3, p. 2397, doi. 10.32604/cmes.2024.049737
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- Article
Exploring the Latest Applications of OpenAI and ChatGPT: An In-Depth Survey.
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- CMES-Computer Modeling in Engineering & Sciences, 2024, v. 138, n. 3, p. 2061, doi. 10.32604/cmes.2023.030649
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- Article
Comprehensive Survey of the Landscape of Digital Twin Technologies and Their Diverse Applications.
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- CMES-Computer Modeling in Engineering & Sciences, 2024, v. 138, n. 1, p. 125, doi. 10.32604/cmes.2023.027834
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- Article
Classification-Detection of Metal Surfaces under Lower Edge Sharpness Using a Deep Learning-Based Approach Combined with an Enhanced LoG Operator.
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- CMES-Computer Modeling in Engineering & Sciences, 2023, v. 137, n. 2, p. 1551, doi. 10.32604/cmes.2023.027035
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- Article
Anomaly Detection of UAV State Data Based on Single-Class Triangular Global Alignment Kernel Extreme Learning Machine.
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- CMES-Computer Modeling in Engineering & Sciences, 2023, v. 136, n. 3, p. 2405, doi. 10.32604/cmes.2023.026732
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- Article
The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of the Wind Power and Photovoltaic Energy.
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- CMES-Computer Modeling in Engineering & Sciences, 2022, v. 131, n. 2, p. 567, doi. 10.32604/cmes.2022.019245
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- Article
Deep Learning Applications for COVID-19 Analysis: A State-of-the-Art Survey.
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- CMES-Computer Modeling in Engineering & Sciences, 2021, v. 129, n. 1, p. 65, doi. 10.32604/cmes.2021.016981
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- Article
A Classification-Detection Approach of COVID-19 Based on Chest X-ray and CT by Using Keras Pre-Trained Deep Learning Models.
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- CMES-Computer Modeling in Engineering & Sciences, 2020, v. 125, n. 2, p. 579, doi. 10.32604/cmes.2020.011920
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- Article
Wind Power Forecasting Methods Based on Deep Learning: A Survey.
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- CMES-Computer Modeling in Engineering & Sciences, 2020, v. 122, n. 1, p. 273, doi. 10.32604/cmes.2020.08768
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- Article
Research on Nonlinear Frequency Compression Method of Hearing Aid with Adaptive Compression Ratio.
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- CMES-Computer Modeling in Engineering & Sciences, 2019, v. 121, n. 2, p. 551, doi. 10.32604/cmes.2019.06314
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- Article
AdaBoosting Neural Network for Short-Term Wind Speed Forecasting Based on Seasonal Characteristics Analysis and Lag Space Estimation.
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- CMES-Computer Modeling in Engineering & Sciences, 2018, v. 114, n. 3, p. 277, doi. 10.3970/cmes.2018.114.277
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- Article
Existence and Global Stability of a Periodic Solution for Discrete-Time Cellular Neural Networks.
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- Discrete Dynamics in Nature & Society, 2012, p. 1, doi. 10.1155/2012/645214
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- Article