Abstract: Sparse diagnosis techniques for antenna arrays provide an efficient approach to fault diagnosis by leveraging the sparse nature of faulty elements. In practical scenarios, an unknown ...
Abstract: This letter proposes a variational Bayesian sparse decision-feedback equalizer (VB-SDFE) based on the recursive least squares (RLS) algorithm for underwater acoustic communications. The ...
Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots -- fundamental components of quantum computing ...
Generative Modeling is a branch of machine learning that focuses on creating models representing distributions of data, denoted as $P(X)$. $X$ represents the data ...
ABSTRACT: This study introduces a Hybrid Bimodal Model for Analog-to-Digital (ADC) and Digital-to-Analog (DAC) signal conversions, addressing limitations of traditional systems, such as inefficiencies ...
Researched Variational Path Integral method as a team member of the Cyber Chem project group. Implemented one of the flavors of Quantum Monte Carlo method (Variational Path Integral simulation) on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results