Frontiers

Methods for seismic sedimentology and inversion using physics-driven convolutional model-based artificial intelligence

Seismic inversion is vital for reservoir characterization but faces significant challenges in complex fluvial-deltaic systems due to strong heterogeneity and thin-bedded formations. Current methods, ...
Frontiers

DTCNet: finger flexion decoding with three-dimensional ECoG data

ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more ...
IEEE

Lane Detection Method Based on Deformable Linear Convolution

Abstract: Autonomous driving systems mainly rely on accurate detection of lane markings for navigation and safety. This paper explores an enhanced lane detection methodology employing deformable ...
IEEE

A Wavelength Modulation Spectroscopy Gas Concentration Detection Method Based on Linear Convolution

Abstract: This article presents a novel wavelength modulation spectroscopy gas concentration detection approach based on linear convolution (LC-WMS). The linear convolution (LC) is first time utilized ...
Scientific Research Publishing

Discrete Singular Convolution Method for Numerical Solutions of Fifth Order Korteweg-De Vries Equations ()

Department of Mathematics and Applied Mathematics, University of Pretoria, Pretoria, South Africa. where , and are real numbers. This class includes the well-known Lax [1], Sawada-Kotera (SK) [2], ...
Scientific Research Publishing

He, J.H. (2005) Approximate solution of nonlinear differential Equations with convolution product nonlinearities. Computer Methods in Applied Mechanics and Engineering, 26, 695 ...

ABSTRACT: A Mathemataical model for a modified micro- cylinder electrode in which polyphenol oxidase ( PPO) occurs for all values of the concentration of catechol and o-quinone is analysed. This model ...