380 citations
- Stony Brook UniversityUS15 papers
- Northwestern UniversityUS13 papers
- Flatiron Health (United States)US12 papers
- Flatiron Institute12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- University of ConnecticutUS11 papers
- Princeton UniversityUS9 papers
- University of RochesterUS9 papers
- Cornell UniversityUS8 papers
- Fermi National Accelerator LaboratoryUS8 papers
- Los Alamos National LaboratoryUS8 papers
- University of FloridaUS8 papers
11 papers · 1 filter
Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Deep Learning-Based Network Device Classification
Nora Basha, Bechir Hamdaoui
The accurate identification of wireless devices is critical for enabling automated network access monitoring and authenticated data communication in large-scale networks; e.g., IoT…
Research on Intelligent Charging System Technology of Automobile Group
Kedi Yan
This paper analyzes the smart charging system for dealing with issues related to large parking garages, and analyzes the relevant technical standards of intelligent charging piles…
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data
Jun Jiang, Xuan Liu, Scott Wallace +3
Phasor measurement units (PMUs) provide high-fidelity data that improve situation awareness of electric power grid operations. PMU datastreams inform wide-area state estimation, mo…
Leveraging Hardware-Impaired Out-of-Band Information Through Deep Neural Networks for Robust Wireless Device Classification
Abdurrahman Elmaghbub, Bechir Hamdaoui
Wireless device classification techniques play a key role in promoting emerging wireless applications such as allowing spectrum regulatory agencies to enforce their access policies…
Optimal quantizer structure for binary discrete input continuous output channels under an arbitrary quantized-output constraint
Thuan Nguyen, Thinh Nguyen
Given a channel having binary input X = (x_1, x_2) having the probability distribution p_X = (p_{x_1}, p_{x_2}) that is corrupted by a continuous noise to produce a continuous outp…
Single-bit Quantization Capacity of Binary-input Continuous-output Channels
Thuan Nguyen, Thinh Nguyen
We consider a channel with discrete binary input X that is corrupted by a given continuous noise to produce a continuous-valued output Y. A quantizer is then used to quantize the c…