Communications of the ACM

Algorithmic Autonomy in Data-Driven AI

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
IEEE

Combining Model-Based and Data-Driven Observer Designs for Sideslip Angle Estimation

Abstract: The vehicle side slip angle represents a key indicator of dynamic stability. Elevated values of the side slip angle may indicate a loss of stability or undesired vehicle behaviors such as ...
IEEE

Deep Learning Approach for Microwave Imaging in Broad Frequency Band Based on Physics-Driven Loss and Deep Convolutional V-Net Structure

Abstract: This article proposes a novel deep learning (DL) approach to realize quantitative real-time microwave imaging (MWI) in the extremely broad frequency band. The proposed DL approach is based ...