Results 101 to 110 of about 415,933 (257)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Alternatives for jet engine control [PDF]
Alternatives to linear quadratic regulator theory in the linear case are examined along with nonlinear modelling and optimization approaches for global control.
Sain, M. K., Schafer, R. M.
core +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Robust computer-aided synthesis and optimization of linear multivariable control systems with varying plant dynamics via AUTOCON [PDF]
AUTOCON is an automated computer-aided design tool for the synthesis and optimization of linear multivariable control systems based upon user-defined control parameter optimization.
Lefkowitz, C. P. +3 more
core +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Super-twisting algorithm-based fuzzy sliding mode control for descriptor T-S fuzzy systems. [PDF]
Li X, Zhang W, Yuan C.
europepmc +1 more source
Abstract This study investigates the longitudinal impact of socioeconomic instability on teen pregnancy and sexually transmitted infection (STI) diagnosis among adolescents and young adults (AYA) living in an agricultural region and examines pathways including supportive family and social structures, decision making autonomy in romantic relationships ...
Marie C. D. Stoner +11 more
wiley +1 more source
Association of diabetes severity with cognitive function in US adults: a cross-sectional analysis of the AI-READI multicentre cohort. [PDF]
Um KM, Kim BJ, Ying GS.
europepmc +1 more source
Epidemiology of Cancer‐Associated Venous Thromboembolism Across the United States
ABSTRACT Prior epidemiological studies on cancer‐associated venous thromboembolism (VTE) were limited by homogenous patient populations. We leverage Cosmos, a collaborative dataset of Epic electronic health record systems, to conduct an updated evaluation of cancer‐associated VTE in the United States (US).
Barbara D. Lam +7 more
wiley +1 more source

