Results 211 to 220 of about 743,281 (307)
The present study underscores the remarkable capabilities of the Kolmogorov‐Arnold Network (KAN) in formula fitting for physical systems. KAN predicts the relationship between the Poisson's ratio of a metamaterial structure and its geometric parameters, demonstrating the transition of Poisson's ratio from positive to negative as the hexagonal component
Yang Wang+9 more
wiley +1 more source
Regulatory Challenges and Frameworks for Fog Computing in Healthcare. [PDF]
Jeyaraman N+5 more
europepmc +1 more source
Antifragile and Resilient Geographical Information System Service Delivery in Fog Computing. [PDF]
Mir TS+7 more
europepmc +1 more source
High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval
An innovative phase retrieval framework, termed FD‐PR, is uniquely established in the image's feature domain through the feature‐extracted, physical‐driven regression with interfaces for combining physics and image processing constraints. FD‐PR takes advantage of invariance components of an image against presences of model mismatch and uncertainty ...
Shuhe Zhang+4 more
wiley +1 more source
Retraction: A freight integer linear programming model under fog computing and its application in the optimization of vehicle networking deployment. [PDF]
PLOS ONE Editors.
europepmc +1 more source
Retracted: Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Label‐Free Dual‐Modal Photoacoustic/Ultrasound Localization Imaging for Studying Acute Kidney Injury
This work develops a 3D label‐free photoacoustic/super‐resolution ultrasound imaging system as a comprehensive non‐invasive tool for acute kidney injury (AKI) study. This technique visualizes the intricate structure of renal microvessels and provides critical physiological insights, including renal hemodynamics and oxygenation.
Shensheng Zhao+5 more
wiley +1 more source
Image Processing for Smart Agriculture Applications Using Cloud-Fog Computing. [PDF]
Marković D+3 more
europepmc +1 more source