Results 111 to 120 of about 27,980 (243)

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Wearable Sensors Fabricated by 3D‐Printed Composite Hydrogel with 2D Fillers

Small Methods, EarlyView.
This review explores how 3D printing integrates 2D conductive fillers into hydrogel matrices to fabricate high‐performance flexible sensors. By tailoring microstructures and nanomaterial interactions, these devices achieve enhanced sensitivity, durability, and environmental adaptability for healthcare monitoring, human‐machine interfaces, and robotic ...
Yaxuan Li, Sheng Pei, Jun Wang, Chuhan Zhang, Beichao Shi, Zhengtang Luo   +5 more
wiley   +1 more source

Surface Flashover in 50 Years: III. Extreme Environments and Industrial Challenges

High Voltage, EarlyView.
ABSTRACT Modern high‐voltage electrical equipment operates in complex environments where surface conditions are subjected to multifaceted influences from electric fields, thermal gradients, contaminants, irradiation and other extreme environmental factors.
Zhen Li, Heng Zhang, He Gao, Ji Liu, Yoshimichi Ohki, George Chen, Shengtao Li   +6 more
wiley   +1 more source

Generalized Multiscale Finite Element method for multicontinua unsaturated flow problems in fractured porous media [PDF]

, 2019
Denis Spiridonov, Maria Vasilyeva, Eric T. Chung   +2 more
openalex   +1 more source

Fault diagnosis method of a cascaded H‐bridge inverter based on a multisource adaptive fusion CNN‐transformer

IET Power Electronics, EarlyView.
The multisource adaptive fusion CNN‐transformer method proposed in this study can provide theoretical and technical support for fault diagnosis of high‐voltage MCHBI. It has a promising potential for engineering applications. Abstract In high‐voltage applications, the number of cascaded H‐bridge inverter units is large, the failure probability ...
Weiman Yang, Weinian Wang, Xinggui Wang, Jianfeng Gu, Zhuoling Wang   +4 more
wiley   +1 more source

High‐Entropy 2D MXenes: A New Paradigm for Energy Storage

Battery Energy, Volume 5, Issue 2, March 2026.
This review reports the evolution and advancements in high‐entropy MXene materials, highlighting their structural diversity (M1–M6) and transformative potential for energy and electronic applications. By integrating historical insights with recent breakthroughs, this review highlights the role of compositional complexity in optimising functional ...
Hafiz Taimoor Ahmed Awan, Ahmed A. Aboalhassan, Muhammad Amirul Aizat Mohd Abdah, Muhammad Norhaffis Mustafa, Norshahirah Mohamad Saidi, Rashmi Walvekar, Mohammad Khalid   +6 more
wiley   +1 more source

Machine Learning Approximations for Fast and Accurate Prediction of Nonlinear Four‐Wave Interactions in Spectral Wave Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Operational wave forecasting requires a delicate balance between the accuracy and computational speed of the spectral wave model used, in which the nonlinear wave–wave interaction “source” term plays an important role. The exact formulation of these nonlinear four‐wave interactions requires solving the six‐dimensional Boltzmann integral, an ...
Jialun Chen, Thomas A. A. Adcock, Qingxiang Liu, Ronald Clark, Tianning Tang   +4 more
wiley   +1 more source

Surfzone Water Depth Estimation From Surface Flows Using a Data‐Driven and Physics‐Informed Deep Conditional Generative Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract A physics‐informed deep conditional generative model driven with remotely sensed surface currents is shown to estimate surfzone water depths (bathymetry). The model encodes measured flow data as latent Gaussian parameters and decodes these distributions to estimate water depths over the domain, progressively refining its predictions via a loss‐
Reza Salatin, Steve Elgar, Britt Raubenheimer   +2 more
wiley   +1 more source

Reconstructing Magnetotail Reconnection Events Using Data Mining is Feasible and Repeatable

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Recently, Stephens et al. (2023), https://doi.org/10.1029/2022ja031066 utilized a data mining (DM) algorithm, applied to 26 years of magnetospheric magnetometer observations coupled with a flexible formulation of the magnetospheric magnetic field, to reconstruct the global configuration of the magnetotail when the Magnetospheric MultiScale ...
G. K. Stephens, R. S. Weigel, M. I. Sitnov, N. A. Tsyganenko   +3 more
wiley   +1 more source

A complex network perspective on brain disease

Biological Reviews, Volume 101, Issue 1, Page 364-399, February 2026.
ABSTRACT If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be ...
David Papo, Javier M. Buldú
wiley   +1 more source