Search
Search Results
-
High-resolution topology optimization method of multi-morphology lattice structures based on three-dimensional convolutional neural networks (3D-CNN)
The application of lattice structures provides significant benefits for lightweight structural design. To further strengthen structural stiffness,...
-
Integrated Recognition of Multi-class Battlefield Signals Based on Multi-resolution Analysis
In order to solve the problem of accurately acquiring data signals propagated in complex battlefield environments, this paper designs a...
-
Eigen Value Decomposition Utilizing Method for Data Hiding Based on Wavelet Multi-resolution Analysis
Eigen value decomposition utilizing method for data hiding based on wavelet Multi-Resolution Analysis (MRA) is proposed. It is possible to improve an...
-
Multi image super resolution of MRI images using generative adversarial network
In recent decades, computer-aided medical image analysis has become a popular techniques for disease detection and diagnosis. Deep learning-based...
-
Near-ground trajectory planning for UAVs via multi-resolution hybrid voxel-surfel map
This paper is concerned with trajectory planning problems for UAVs operating near ground. Most existing studies focus on solving the problem of...
-
A multi-resolution physics-informed recurrent neural network: formulation and application to musculoskeletal systems
This work presents a multi-resolution physics-informed recurrent neural network (MR PI-RNN), for simultaneous prediction of musculoskeletal (MSK)...
-
Lightweight single image super-resolution based on multi-path progressive feature fusion and attention mechanism
Single image super-resolution (SISR) is a fundamental image processing task, which aims to generate a high-resolution (HR) image from its...
-
Stacked Multi-branch Networks for Single Image Super-Resolution
With the recent superior progress in CNN-based single image super-resolution (SISR), the effectiveness of hierarchical features for SISR has been...
-
BDS-3/GNSS Multi-frequency PPP Rapid Ambiguity Resolution
The four available civil frequencies of BDS-3 provide strong support for multi-frequency multi-system PPP-AR. It has been shown that multi-frequency...
-
Robust Palm-print Recognition Using Multi-resolution Texture Patterns with Artificial Neural Network
Palm-print recognition system is extensively deployed in a variety of applications, ranging from forensic to mobile phones. This paper proposes a new...
-
A multi-resolution approach to hydraulic fracture simulation
We present a multi-resolution approach for constructing model-based simulations of hydraulic fracturing, wherein flow through porous media is coupled...
-
Rethinking the Approach to Multi-step Word Problems Resolution
Mathematical multi-step word problems (MSTWP) have received a lot of research attention from academics and researchers in the past, and a variety of...
-
Highly Efficient Multi-resolution Topology Optimization Based on the Kriging-Interpolation Network
Topology optimization aims to search for the optimal material distribution with a prescribed volume fraction. Recently, to reduce the computational...
-
Synthesizing multi-frame high-resolution fluorescein angiography images from retinal fundus images using generative adversarial networks
BackgroundFundus fluorescein angiography (FA) can be used to diagnose fundus diseases by observing dynamic fluorescein changes that reflect vascular...
-
Global Instantaneous Centimeter-Level Multi-constellation and Multi-frequency Precise Point Positioning with Cascading Ambiguity Resolution
With the progresses of Global Navigation Satellite System (GNSS), a number of satellites transmitting multi-frequency signals contribute precise...
-
Precise Point Positioning Ambiguity Resolution with Multi-frequency Ionosphere-Reduced Combination
Precise point positioning (PPP) with ambiguity resolution can improve positioning accuracy and reliability. In conventional dual-frequency...
-
High-Throughput High-Resolution Digital Image Correlation Measurements by Multi-Beam SEM Imaging
BackgroundRecent improvements in spatial resolution and measurement sensitivity for high-resolution digital image correlation (HR-DIC) now provide an...
-
Gear Early Fault Diagnosis Based on Multi-resolution Subband Adaptive Filtering
The early fault signals of gears in the gearbox are weak, and the fault signals in different frequency bands are easily masked by other noise...
-
A Multi-level Wavelet Decomposition Network for Image Super Resolution
Machine learning with deep convolutional neural network has seen huge adaptation in computer vision applications over the last decade. In this paper,...
-
Single image super-resolution via global aware external attention and multi-scale residual channel attention network
Recently, deep convolutional neural networks (CNNs) have shown significant advantages in improving the performance of single image super-resolution...
