Results 191 to 200 of about 83,325 (264)

Enhancing thin-film wafer inspection with a multi-sensor array and robot constraint maintenance. [PDF]

open access: yesSci Rep
Sánchez-Arriaga NE   +6 more
europepmc   +1 more source

Light‐Guided Molecular Patterning for High‐Throughput Single‐Molecule Mechanical Characterization

open access: yesSmall, EarlyView.
A light‐guided molecular patterning method is presented for high‐throughput single‐molecule characterization. The approach enables scalable and accessible molecular patterning without specialized lithography equipment. Patterned surfaces are compatible with downstream biophysical assays, demonstrated by magnetic tweezers and flow‐based single‐molecule ...
Hansol Choi, Andrew Ward, Wesley P. Wong
wiley   +1 more source

Experimental Investigations on the Impact of Operational Conditions on Bubble Dynamics and the Resulting Vibrations in Gas‐Stirred Ladles

open access: yessteel research international, EarlyView.
This study applies sensitive vibration sensors to investigate gas bubble behavior in liquid metal during argon injection. Analysis of vibration signals provides insights into bubble evolution and the influence of gas flow and surface pressure. The results provide a basis for improved vibration‐based two‐phase flow models, enhancing accuracy in ...
Konstantinos Rigas   +3 more
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis   +7 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

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