Results 111 to 120 of about 62,545 (283)

Liquid‐Catalyst‐Activated Sparingly Solvating Electrolytes for Low‐Temperature Potassium‐Sulfur Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This study develops a novel sparingly solvating electrolyte for potassium–sulfur batteries, utilizing tetrahydrofuran (THF) to induce an anion‐dominated solvation structure that eases polysulfide shuttling and forms an inorganic‐rich solid–electrolyte interphases (SEI). Dimethyl diselenide (DMDSe) accelerates quasi‐solid‐state transformations, reducing
Tianyu Chen   +5 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Partial Fourier Transform Method for Solution Formula of Stokes Equation with Robin Boundary Condition in Half-space

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
The area of applied science known as fluid dynamics studied how gases and liquids moved. The motion of the fluid in the liquid and vapour phases is described by a special system of partial differential equations.
Sri Maryani   +2 more
doaj   +1 more source

TRILINEAR FOURIER MULTIPLIERS ON HARDY SPACES

open access: yesJournal of the Institute of Mathematics of Jussieu
AbstractIn this paper, we obtain the $H^{p_1}\times H^{p_2}\times H^{p_3}\to H^p$ boundedness for trilinear Fourier multiplier operators, which is a trilinear analogue of the multiplier theorem of Calderón and Torchinsky [4]. Our result improves the trilinear estimate in [22] by additionally assuming an appropriate vanishing moment condition, which ...
Jin Bong Lee, Bae Jun Park
openaire   +2 more sources

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT

open access: yesMeasurement Science Review
We present a novel parallel and pipelined fast Fourier transform (FFT) architecture for high-speed and low-power applications, a critical component in wireless communications and digital signal processors.
Surya P   +2 more
doaj   +1 more source

Weighted inequalities for Hilbert transforms and multiplicators of Fourier transforms

open access: yesJournal of Inequalities and Applications, 1997
As is well known, invariant operators with a shift can be bounded from Lp into Lq only if ...
A. Meskhi, V. Kokilashvili
doaj   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

open access: yesAdvanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet   +8 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

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