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An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era.
- Published in:
- Symmetry (20738994), 2021, v. 13, n. 12, p. 2287, doi. 10.3390/sym13122287
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- Article
An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information.
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- Symmetry (20738994), 2021, v. 13, n. 6, p. 1091, doi. 10.3390/sym13061091
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- Article
Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
- Published in:
- 2021
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- Publication type:
- Correction Notice
Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2021, v. 25, n. 4, p. 3335, doi. 10.1007/s00500-020-05439-w
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- Article
A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network.
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- Sensors (14248220), 2021, v. 21, n. 18, p. 6240, doi. 10.3390/s21186240
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- Article
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning.
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- Sensors (14248220), 2021, v. 21, n. 9, p. 2987, doi. 10.3390/s21092987
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- Article
Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 7, p. 3634, doi. 10.3390/app12073634
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- Article
An Evolutionary-Based Sentiment Analysis Approach for Enhancing Government Decisions during COVID-19 Pandemic: The Case of Jordan.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 19, p. 9080, doi. 10.3390/app11199080
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- Article
A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 7, p. 3022, doi. 10.3390/app11073022
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- Article
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents.
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- Neural Computing & Applications, 2021, v. 33, n. 11, p. 5507, doi. 10.1007/s00521-020-05329-0
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- Article
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture.
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- Neural Computing & Applications, 2018, v. 30, n. 8, p. 2355, doi. 10.1007/s00521-016-2818-2
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- Article