[PDF][PDF] Using GAN Neural Networks for Super-Resolution Reconstruction of Temperature Fields

T Li, Z Jiang, R Han, J Xia, Y Ren - Intelligent Automation & Soft …, 2023 - cdn.techscience.cn
A Generative Adversarial Neural (GAN) network is designed based on deep learning for the
Super-Resolution (SR) reconstruction task of temperature fields (comparable to downscaling …

[PDF][PDF] Online rail fastener detection based on YOLO network

J Li, X Qiu, Y Wei, M Song… - Computers, Materials & …, 2022 - cdn.techscience.cn
Traveling by high-speed rail and railway transportation have become an important part of
people's life and social production. Track is the basic equipment of railway transportation …

Venus' cloud-tracked winds using ground-and space-based observations with TNG/NICS and VEx/VIRTIS

P Machado, J Peralta, JE Silva, F Brasil, R Gonçalves… - Atmosphere, 2022 - mdpi.com
Characterizing the wind speeds of Venus and their variability at multiple vertical levels is
essential for a better understanding of the atmospheric superrotation, constraining the role of …

[PDF][PDF] Multi-Level Feature Aggregation-Based Joint Keypoint Detection and Description.

J Li, X Li, Y Wei, M Song, X Wang - Computers, Materials & …, 2022 - cdn.techscience.cn
Image keypoint detection and description is a popular method to find pixel-level connections
between images, which is a basic and critical step in many computer vision tasks. The …

[PDF][PDF] Optimal Location to Use Solar Energy in an Urban Situation

NKA Dwijendra, I Patra, NB Kumar, I Muda… - CMC-COMPUTERS …, 2023 - researchgate.net
This study conducted in Lima, Peru, a combination of spatial decision making system and
machine learning was utilized to identify potential solar power plant construction sites within …

Visual Recognition Method of Road Sign Line Missing Based on Image High Resolution Reconstruction Algorithm

H Li, N Hussin - … on Image Processing, Computer Vision and …, 2023 - ieeexplore.ieee.org
The conventional visual identification method of road sign line loss mainly uses
Sobel\Prewitt operator to dynamically divide the visual identification area, which is easily …

Deep Local Multi-level Feature Aggregation Based High-speed Train Image Matching

J Li, X Li, Y Wei, X Wang - KSII Transactions on Internet and …, 2022 - koreascience.kr
At present, the main method of high-speed train chassis detection is using computer vision
technology to extract keypoints from two related chassis images firstly, then matching these …