Abstract: Accurate knowledge of initial complex excitation coefficients for phased-array elements is essential to ensure accurate array performance. In the literature, many array calibration ...
Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
Abstract: In-memory computing (IMC) provides energy-efficient solutions to deep neural networks (DNN). Most IMC designs for DNNs employ fixed-point precisions. However, floatingpoint precision is ...
Abstract: Robust and accurate pose estimation of a robotic platform, so-called sensor-based odometry, is an essential part of many robotic applications. While many sensor odometry systems made ...
Abstract: For the first time, this article introduces a LiDAR Point Clouds Dataset of Ships composed of both collected and simulated data to address the scarcity of LiDAR data in maritime applications ...
Abstract: Vision-based surface monitoring is critical for surface defects and geometric distortion detection during additive manufacturing (AM) processes. It is the pre-requisite of quality assurance ...