Results 121 to 130 of about 260,355 (166)

An intelligent algorithm to fast and accurately detect chaotic correlation dimension

River, EarlyView.
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang   +3 more
wiley   +1 more source

Understanding Volatile Electrical Switching in hBN Nanodevices by Fully Optical Operando Investigation

Small, EarlyView.
Operando optical characterization of vertical two‐terminal monolayer hexagonal Boron Nitride devices is used to gain new insight into the key role of defects in the dynamics of switching. Characterization of photoluminescence and dark‐field scattering light signals during electrical switching indicates that the formation of conductive filaments of gold
Dawn M. Kelly, Joanna Symonowicz, J. Callum Stewart, Stephan Hofmann, Giuliana Di Martino   +4 more
wiley   +1 more source

Thermal Imaging for Quality Control in Thin Silicon‐Based Coatings for Lithium‐Ion Batteries: Defect Detection, Drying Dynamics, and Machine Learning‐Based Mass Loading Estimation

Small Methods, EarlyView.
Thermal imaging offers a non‐destructive approach to quality control in silicon‐based lithium‐ion battery electrodes, enabling the detection of defects, variations in mass loading, and the monitoring of drying dynamics. This study introduces an automated defect‐detection‐algorithm and a machine learning‐based Random Forest model to estimate mass ...
Adil Amin, Philipp Valentin Geiping, Ahammed Suhail Odungat, Fatih Özcan, Doris Segets   +4 more
wiley   +1 more source

Quantification of Azides on the Surface of Nanoparticles: Toward Precise Bioconjugation

Small Structures, EarlyView.
Herein, two spectroscopic methods for surface azides quantification are developed. The first method is based on the ability of electron‐withdrawing ligands to quench the fluorescence of conjugated dyes, whereas the second method is more general and is based on the UV–Vis monitoring of alkyne absorbance during the click reaction.
Elizaveta Maksimova, David E. Salazar Marcano, Jonathan De Roo   +2 more
wiley   +1 more source

Influence of environmental conditions on the creep behavior of large‐scale concrete specimens

Structural Concrete, EarlyView.
Abstract In this article, a testing campaign on large‐scale concrete specimens to study the influence of environmental conditions on their creep behavior for different member sizes is presented. This testing campaign is unique due to its specimen dimensions (cross‐sectional areas of up to 1 m2) and the continuous deformation measurements for over 6 ...
Wolfgang Bachofner, Dominik Suza, Patrick Huber, Harald S. Müller, Johann Kollegger   +4 more
wiley   +1 more source

A shear failure analysis of ultra‐high‐performance concrete based on modified contact density and concrete damaged plasticity models

Structural Concrete, EarlyView.
Abstract Ultra‐high‐performance concrete (UHPC) becomes a promising composite material in structural concrete due to its exceptional mechanical and durability properties. However, the performance and damage characteristics of UHPC under different loading scenarios remain a subject of ongoing research.
Kefiyalew Zerfu, Chikako Fujiyama, Koichi Maekawa   +2 more
wiley   +1 more source

Accuracy Improvement of the 2S‐DIRK Method for EMT Simulations of Highly Nonlinear Circuits

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Power electronics converters used for HVDC transmission, renewable‐energy interconnection, and system control now play an important role in power systems. Since power electronics converters control power by fast switching of semiconductor devices, the electromagnetic transient (EMT) simulations of power systems including such power electronics ...
Toshiaki Kikuma, Kiyoshi Takenaka, Taku Noda, Tatsuhito Nakajima   +3 more
wiley   +1 more source

QRS Detection in Noisy Electrocardiogram Based on Multi‐Parameter Constrained Stochastic Resonance

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
One major challenge of QRS wave detection is the deleterious impact of inevitable noise in electrocardiogram (ECG) signals, which can deteriorate the detection performance of algorithms. Previous research has shown a nonlinear monostable potential‐based algorithm for enhancing the QRS complex in a noisy environment. Its main mechanism is the stochastic
Wenyu Shang, Masaki Sekino
wiley   +1 more source

Applications of Artificial Intelligence in Neurological Voice Disorders

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao, Aki Koivu, Kristina Simonyan   +2 more
wiley   +1 more source

Rehabilitation exoskeleton system with bidirectional virtual reality feedback training strategy

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Virtual reality (VR) technology revitalises rehabilitation training by creating rich, interactive virtual rehabilitation scenes and tasks that deeply engage patients. Robotics with immersive VR environments have the potential to significantly enhance the sense of immersion for patients during training.
Yongsheng Gao, Guodong Lang, Chenxiao Zhang, Rui Wu, Yanhe Zhu, Yu Zhao, Jie Zhao   +6 more
wiley   +1 more source