Found: 11
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FADS: An Intelligent Fatigue and Age Detection System.
- Published in:
- Mathematics (2227-7390), 2023, v. 11, n. 5, p. 1174, doi. 10.3390/math11051174
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- Article
CL-Net: ConvLSTM-Based Hybrid Architecture for Batteries' State of Health and Power Consumption Forecasting.
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- Mathematics (2227-7390), 2021, v. 9, n. 24, p. 3326, doi. 10.3390/math9243326
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- Article
AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting.
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- Mathematics (2227-7390), 2021, v. 9, n. 19, p. 2456, doi. 10.3390/math9192456
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- Article
Diving Deep into Short-Term Electricity Load Forecasting: Comparative Analysis and a Novel Framework.
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- Mathematics (2227-7390), 2021, v. 9, n. 6, p. 611, doi. 10.3390/math9060611
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- Article
AD-Graph: Weakly Supervised Anomaly Detection Graph Neural Network.
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- International Journal of Intelligent Systems, 2023, p. 1, doi. 10.1155/2023/7868415
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- Article
An intelligent system for complex violence pattern analysis and detection.
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- International Journal of Intelligent Systems, 2022, v. 37, n. 12, p. 10400, doi. 10.1002/int.22537
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- Article
Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines.
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- International Journal of Energy Research, 2021, v. 45, n. 3, p. 3590, doi. 10.1002/er.6093
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- Article
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network.
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- Sensors (14248220), 2019, v. 19, n. 11, p. 2472, doi. 10.3390/s19112472
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- Article
CT-NET: A Novel Convolutional Transformer-Based Network for Short-Term Solar Energy Forecasting Using Climatic Information.
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- Computer Systems Science & Engineering, 2023, v. 47, n. 2, p. 1751, doi. 10.32604/csse.2023.038514
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- Article
A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting.
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- Complexity, 2022, p. 1, doi. 10.1155/2022/7040601
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- Article
Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU.
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- Complexity, 2022, p. 1, doi. 10.1155/2022/2993184
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- Article