Abstract: To successfully reconstruct the strong scatterers with high contrast in electromagnetic inverse scattering problems (ISPs), this letter proposes a region iteration method (RIM) based on the ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Neural networks are widely adopted in various fields due to their ability to model complex patterns and relationships. However, they face a critical vulnerability to adversarial attacks – small, ...
Abstract: This letter proposes an efficient iterative method assisted by an artificial neural network (ANN) for pattern synthesis of arbitrary conformal arrays. Relying on a fast and accurate ...
Introduction Many people with Parkinson’s (PwP) are not given the opportunity or do not have adequate access to participate in clinical research. To address this, we have codeveloped with users an ...
Project Start: 11/3/2023 Update 11/6/23: After one weekend, the model can be applied to the MNIST dataset and can produce classification accuracies up to ~97% (Moore-Penrose Pseudo-Inv and 1000 hidden ...
In this letter, we address the problem of phase-only transmit beamforming to generate a wide beam with an almost flat mainlobe for phased arrays. Instead of resorting to time-demanding optimization ...
A collection of software development examples using C#, CRUD operational models including a "Supermarket Rewards" console application running on Windows. Note: basic projects used to complete the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results