Results 151 to 160 of about 2,769,211 (350)

EEG-based brain-machine interface (BMI) for controlling mobile robots: the trend of prior studies [PDF]

, 2015
Murali Krishnan, Muralindran Mariappan
openalex  

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

Advanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker, Dominik Delisle, Christian Krombholz, Martin Rädel, Frank Dressel   +4 more
wiley   +1 more source

Machine learning to predict impulse control disorders in Parkinson's disease

, 2020
Johann Faouzi
openalex   +1 more source

MECHATRONICS MOTION CONTROL DESIGN OF ELECTRIC MACHINES FOR DESIRED DEADBEAT RESPONSE SPECIFICATIONS, SUPPORTED AND VERIFIED BY NEW MATLAB BUILT-IN FUNCTION AND SIMULINK MODEL [PDF]

, 2013
Farhan A. Salem
openalex  

Induction Machine Control for a Wide Range of Drive Requirements [PDF]

, 2019
Bojan Grčar, Anton Hofer, Gorazd Štumberger   +2 more
openalex   +1 more source

Using pretrained machine learning models to predict luminous and solar transmittance controllability of liquid crystal/polymer composites from microstructural images

, 2023
Hiroshi Kakiuchida, Kensuke Suzuki, Takuto Kojima   +2 more
openalex   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A somatic hypermutation–based machine learning model stratifies individuals with Crohn's disease and controls [PDF]

, 2022
Modi Safra, Lael Werner, Ayelet Peres, Pazit Polak, Naomi Salamon, Michael Schvimer, Batia Weiss, Iris Barshack, Dror S. Shouval, Gur Yaari   +9 more
openalex   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source