Results 61 to 70 of about 1,795,506 (333)

Embedding textile capacitive sensing into smart wearables as a versatile solution for human motion capturing

Scientific Reports
This work presents a novel and versatile approach to employ textile capacitive sensing as an effective solution for capturing human body movement through fashionable and everyday-life garments.
Daniel Geißler, Bo Zhou, Hymalai Bello, Joanna Sorysz, Lala Ray, Hamraz Javaheri, Matthias Rüb, Jan Herbst, Esther Zahn, Emil Woop, Sizhen Bian, Hans D. Schotten, Gesche Joost, Paul Lukowicz   +13 more
doaj   +1 more source

Constrained Optimal Control for Nonlinear Multi-Input Safety-Critical Systems with Time-Varying Safety Constraints

Mathematics, 2022
In this paper, we investigate the constrained optimal control problem of nonlinear multi-input safety-critical systems with uncertain disturbances and time-varying safety constraints.
Jinguang Wang, Chunbin Qin, Xiaopeng Qiao, Dehua Zhang, Zhongwei Zhang, Ziyang Shang, Heyang Zhu   +6 more
doaj   +1 more source

Prevalence of Stroke and Diagnostic Performance of Emergency MRI in Acute Isolated Dizziness

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Stroke is frequently misdiagnosed in patients presenting with acute isolated dizziness; the optimal imaging modality for this population remains debated. This study aimed to determine the prevalence of stroke among patients with isolated dizziness and to assess the diagnostic accuracy of magnetic resonance imaging (MRI) and computed ...
Xiao Hu, Sijia Liu, Xiaosan Wu, Sunhong Yan, Jie Shen, Lei Zhu, Xueyun Liu, Zijie Wang, Chu Chen, Tiannan Yang, Chuanqin Fang, Qi Li   +11 more
wiley   +1 more source

Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data

Nature Communications
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang   +7 more
doaj   +1 more source

Computational linguistics in psychology: a key to understanding language and human behavior

Язык и текст
The relevance is determined by the exponential growth of textual data in the digital environment, requiring automated analysis methods to reveal hidden patterns.
K.S. Ivashko, S.A. Izosimova, V.N. Piguz, K.V. Kovaleva   +3 more
doaj   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time

Communications Earth & Environment
Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-
Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang   +16 more
doaj   +1 more source

A clarification of the nuances in the fairness metrics landscape

Scientific Reports, 2022
In recent years, the problem of addressing fairness in machine learning (ML) and automatic decision making has attracted a lot of attention in the scientific communities dealing with artificial intelligence.
Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli, Ilaria Giuseppina Penco, Andrea Claudio Cosentini   +5 more
doaj   +1 more source

Artificial Intelligence and Public Trust [PDF]

, 2017
The future is here. With the exploding commercial market for high-powered, cloud-computing AI services provided by the likes of Amazon, Microsoft, and Google, the reach of artificial intelligence technologies is virtually unlimited.
Vallor, Shannon
core   +1 more source

Artificial intelligence and statistics [PDF]

Frontiers of Information Technology & Electronic Engineering, 2018
Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, development of algorithms, and evaluation of results. This paper discusses how such human-machine collaboration can be approached through the statistical concepts of population ...
Bin Yu, Karl Kumbier
openaire   +4 more sources