Results 141 to 150 of about 561,804 (322)
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Asymptotic distribution of ∆AUC, NRIs, and IDI based on theory of U-statistics. [PDF]
Demler OV +3 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Local linear estimation for the censored functional regression
This work considers the Local Linear Estimation (LLE) of the conditional functional mean. This regression model is used when the independent variable is functional, and the dependent one is a censored scalar variable.
Fatimah A Almulhim +3 more
doaj +1 more source
Fluid heterogeneity detection based on the asymptotic distribution of the time-averaged mean squared displacement in single particle tracking experiments. [PDF]
Zhang K +4 more
europepmc +1 more source
Estimate of the asymptotic behavior of the moments of arithmetic functions having limiting normal distribution [PDF]
Victor Volfson
openalex
Asymptotic Distribution-free Change-point Detection for Modern Data Based on a New Ranking Scheme [PDF]
Doudou Zhou, Hao Chen
openalex +1 more source
Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio +3 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source

