Results 41 to 50 of about 531,626 (351)
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Closed loop models for analyzing the effects of simulator characteristics [PDF]
The optimal control model of the human operator is used to develop closed loop models for analyzing the effects of (digital) simulator characteristics on predicted performance and/or workload.
Baron, S. +2 more
core +1 more source
Collaborative Control for a Robotic Wheelchair: Evaluation of Performance, Attention, and Workload [PDF]
Powered wheelchair users often struggle to drive safely and effectively and in more critical cases can only get around when accompanied by an assistant.
Carlson, T, Demiris, Y
core +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Workload control in a bottleneck-oriented flow shop with capacity adjustments
The rotor blade manufacturing industry struggles to devise precise planning and scheduling approaches due to uncertainties in production situations. Bottleneck workloads, process time variations and re-entrant flows with varied arrival frequencies would ...
Prabhu Aruna +3 more
doaj +1 more source
Study on the evaluation method of pilot workload in eVTOL aircraft operation
This paper investigates the pilot control strategy and workload associated with the manned electric Vertical Take-Off and Landing (eVTOL) aircraft. This research aims to identify control strategies that are both rational and effective in reducing the ...
Lijuan Hu, Xufei Yan, Ye Yuan
doaj +1 more source
Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane +9 more
wiley +1 more source
The accurate evaluation of operators’ mental workload in human-machine systems plays an important role in ensuring the correct execution of tasks and the safety of operators.
Kai Guan +5 more
doaj +1 more source
Subjective rating scales as a workload [PDF]
A multidimensional bipolar-adjective rating scale is employed as a subjective measure of operator workload in the performance of a one-axis tracking task.
Bird, K. L.
core +1 more source

