This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Integrated Artificial Intelligence Framework for Tuberculosis Treatment Abandonment Prediction: A Multi-Paradigm Approach. [PDF]
Filho FGSDS +5 more
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Radial, Median and Ulnar Nerve Flossing as Essential Preparatory Treatment for Baseball Pitchers in the Prevention of Ulnar Collateral Ligament Injury: A Clinical Suggestion. [PDF]
Hubball S.
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Social learning and exploration-exploitation dilemma in decision-making. [PDF]
Morishita G, Suzuki S.
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Causal interventions in bond multi-dealer-to-client platforms. [PDF]
Marín Martínez P +2 more
europepmc +1 more source
Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]
Chaudhari CN +6 more
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Predictors of prolonged sickness absence after work injuries: a retrospective study using Tukey's Fence in 66,658 Hong Kong workers. [PDF]
Wan Z +6 more
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