Results 91 to 100 of about 11,351,001 (331)
Structural And Multidisciplinary Optimization, 2022 To enable multi-query analyses, such as optimisations of large-scale crashworthiness problems, a numerically efficient model is crucial for the development process. Therefore, data-driven Model Order Reduction (MOR) aims at generating low-fidelity models
C. Czech +3 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.This study develops a self‐powered permeable electronic dressing (SPED) that synergistically integrates exudate management, electrical stimulation, and on‐demand drug delivery. The dressing effectively absorbs exudate while demonstrating potent antibacterial activity and accelerated tissue regeneration in diabetic mouse models, thereby promoting ...
Jiaheng Liang +12 more
wiley +1 more source
Advanced Modeling and Simulation in Engineering SciencesMultiple model reduction techniques have been proposed to tackle linear and non-linear problems. Intrusive model order reduction techniques exhibit high accuracy levels; however, they are rarely used as a standalone industrial tool because of the high ...
Mikhael Tannous +4 more
doaj +1 more source
Real-Time Non-Intrusive Assessment of Viewing Distance During Computer Use [PDF]
, 2016 Purpose: To develop and test the sensitivity of an ultrasound-based sensor to assess the viewing distance of visual display terminals operators in real-time conditions. Methods: A modified ultrasound sensor was attached to a computer display to assess
Argilés Sans, Marc +5 more
core +2 more sources
Advanced Functional Materials, EarlyView.ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim +6 more
wiley +1 more source
Static and Dynamic Activity Detection with Ambient Sensors in Smart Spaces
Sensors, 2019 Convergence of Machine Learning, Internet of Things, and computationally powerful single-board computers has boosted research and implementation of smart spaces. Smart spaces make predictions based on historical data to enhance user experience.
Sagar Shelke, Baris Aksanli
doaj +1 more source
Simultaneous capacitive probe and planar laser-induced fluorescence measurements in downwards gas-liquid annular flow [PDF]
, 2017 Various experimental techniques are available to analyse two-phase flows. The measurement concept and the applicability can however vary greatly. Prime examples from the opposite spectrum are planar laser-induced measurements (PLIF) versus capacitive ...
An, Jae S +4 more
core +1 more source
, 2020 This work derives a residual-based a posteriori error estimator for reduced models learned with non-intrusive model reduction from data of high-dimensional systems governed by linear parabolic partial differential equations with control inputs.
Peherstorfer, Benjamin +1 more
core +1 more source
Parallel 3D Bioprinting on SLIPS‐Microarrays
Advanced Functional Materials, EarlyView.This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg +3 more
wiley +1 more source
Transfer Learning for Non-Intrusive Load Monitoring [PDF]
IEEE Transactions on Smart Grid, 2019 Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only the recorded mains in a household. NILM is unidentifiable and thus a challenge problem because the inferred power value of an appliance given only the mains could ...
M. D'Incecco +2 more
semanticscholar +1 more source