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SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
SSCAE outperforms the existing models in all experiments while maintaining a higher semantic consistency with a lower query number and a comparable perturbation rate.
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
Machine learning (ML) models are capable of performing air-quality "ahead-of-time" approximations.
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