Autoencoders (AEs) have received extensive attention in hyperspectral anomaly detection (HAD) due to their capability to separate the background from the anomal ...
Abstract: Compressed Sparse Row (CSR) encoding stores only non-zero elements of a sparse matrix along with indexing information for efficient MVM. We propose QUDA, a heterogeneous 2D dataflow ...
This paper introduces the design of a power-area-efficient impedance sensor for a microelectrode array (MEA). The proposed architecture uses the quadrature phase integration method to estimate the ...
Abstract: Deep neural networks (DNNs) are increasingly deployed on edge AI platforms built with FPGA-based system-on-chip (SoC) architectures. However, their high computational complexity and memory ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=7742793 ...
Abstract: With the increasing rate of vehicle traffic on roads, more intelligent and automated traffic surveillance systems with regulatory enforcement, transparency, and safety on roads are being ...
With the continuous downscaling of 3D IC packaging, the volume effect of micro-solder joints has become a critical reliability issue. This study investigates the interfacial reactions in Cu/Sn/Ni ...
Abstract: A saturated core fault current limiter (SCFCL) is an important instrument in limitation of increasing fault current in power systems. The core of this type of limiters in normal operating ...
This study proposes a universal motor model that accurately predicts both bearing voltages (BVs) and multisource shaft voltages (SVs). The increasingly severe problems of bearing currents (BCs) and ...
This report proposes a fast beam search which is completed within a single synchronization signal block (SSB). Massive Multiple-Input Multiple-Output (Massive MIMO) with multiple antenna elements can ...
Abstract: Node.js applications with the vast ecosystem of reusable npm packages has become a major target for supply-chain attacks. This paper presents a comprehensive review of existing techniques ...
Abstract: Diabetes is a significant health issue facing the world today and its early and precise identification is necessary to avoid serious complications. In this study, we present a SHAP-driven ...