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07/29/2023
GraphDAC: A Graph-Analytic Approach to Dynamic Airspace Configuration
The current National Airspace System (NAS) is reaching capacity due to i...
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05/12/2023
Extended ADMM for general penalized quantile regression with linear constraints in big data
Quantile regression (QR) can be used to describe the comprehensive relat...
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03/09/2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in va...
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03/08/2023
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Deep Learning (DL) is being applied in various domains, especially in sa...
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10/17/2021
Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems
The integration of air and ground smart vehicles is becoming a new parad...
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10/12/2021
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
The Internet of Things (IoT) is reshaping modern society by allowing a d...
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05/08/2021
Class-Incremental Learning for Wireless Device Identification in IoT
Deep Learning (DL) has been utilized pervasively in the Internet of Thin...
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04/08/2021
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT
Abnormality detection is essential to the performance of safety-critical...
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01/25/2021
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
The Internet of Things (IoT) is becoming an indispensable part of everyd...
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12/10/2020