A new technical paper titled “Non-ideal subthreshold swing in aligned carbon nanotube transistors due to variable occupancy discrete charge traps” was published by researchers at Lawrence Berkeley ...

The rapid advancement of AI has led to the development of powerful models for discrete and continuous data modalities, such as text and images, respectively. However, integrating these distinct ...

Furthermore, EHRs serve as the primary interface for clinicians and laboratories to order tests and receive results, but molecular profiling results and their interpretation often exist outside of the ...

Abstract: Learning the joint probability of random variables (RVs) is the cornerstone of statistical signal processing and machine learning. However, direct nonparametric estimation for ...

Roll a die and ask students to identify the random variable. Since a die can only take on values of 1, 2, 3, 4, 5, or 6, this is a discrete random variable. Repeat ...

Abstract: Inference of causal structure in random variables from observed data only is a crucial science problem. This study categorizes the causal relationship between two discrete random variables ...

A random variable is a variable whose possible values are numerical outcomes of a random phenomenon. It is a fundamental concept in probability and statistics, used to quantify and analyze random ...

Engineering applications of the fractional Weibull distribution (fWd) are quite limited because a corresponding stochastic process is not yet constituted and completely analyzed of fundamental ...