Found: 10
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Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems.
- Published in:
- Energies (19961073), 2024, v. 17, n. 20, p. 5186, doi. 10.3390/en17205186
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- Article
Deep fake detection and classification using error-level analysis and deep learning.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-34629-3
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- Publication type:
- Article
Optimizing Quality of Service of Clustering Protocols in Large-Scale Wireless Sensor Networks with Mobile Data Collector and Machine Learning.
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- Security & Communication Networks, 2021, p. 1, doi. 10.1155/2021/5531185
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- Article
A machine learning based depression screening framework using temporal domain features of the electroencephalography signals.
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- PLoS ONE, 2024, v. 19, n. 3, p. 1, doi. 10.1371/journal.pone.0299127
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- Article
Energy efficient grid based k‐means clustering algorithm for large scale wireless sensor networks.
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- International Journal of Communication Systems, 2022, v. 35, n. 14, p. 1, doi. 10.1002/dac.5255
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- Article
Author Correction: Efficient handling of ACL policy change in SDN using reactive and proactive flow rule installation.
- Published in:
- 2024
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- Correction Notice
A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting.
- Published in:
- Energies (19961073), 2022, v. 15, n. 7, p. 2623, doi. 10.3390/en15072623
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- Publication type:
- Article
A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing.
- Published in:
- Mathematical Problems in Engineering, 2021, p. 1, doi. 10.1155/2021/9194578
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- Publication type:
- Article
Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor Networks.
- Published in:
- Sensors (14248220), 2023, v. 23, n. 20, p. 8534, doi. 10.3390/s23208534
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- Publication type:
- Article
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features.
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- Sensors (14248220), 2023, v. 23, n. 10, p. 4693, doi. 10.3390/s23104693
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- Article