Results 81 to 90 of about 5,457 (203)

An Enhanced CycleGAN to Derive Temporally Continuous NDVI from Sentinel-1 SAR Images

Remote Sensing
Frequent cloud cover severely limits the use of optical remote sensing for continuous ecological monitoring. Synthetic aperture radar (SAR) offers an all-weather alternative, but translating SAR data to optical equivalents is challenging, particularly in
Anqi Wang, Zhiqiang Xiao, Chunyu Zhao, Juan Li, Yunteng Zhang, Jinling Song, Hua Yang   +6 more
doaj   +1 more source

Radar Translation Network Between Sunny and Rainy Domains by Combination of KP-Convolution and CycleGAN

IEEE Open Journal of Intelligent Transportation Systems, 2023
Recently, research on autonomous driving has focused on the advent of various deep learning algorithms. The main sensors for autonomous driving include cameras, LiDAR, and radar, but these algorithms primarily focus on image and LiDAR data.
Jinho Lee, Geonkyu Bang, Toshiaki Nishimori, Kenta Nakao, Shunsuke Kamijo   +4 more
doaj   +1 more source

SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions

IEEE Access
To mitigate the domain differences between infrared and visible light images and address the challenges of data annotation and poor pedestrian detection performance in low-light environments, we propose a semi-supervised cross-domain YOLOv8 pedestrian ...
Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang   +8 more
doaj   +1 more source

Depth image conversion model based on CycleGAN for growing tomato truss identification

Plant Methods, 2022
Background On tomato plants, the flowering truss is a group or cluster of smaller stems where flowers and fruit develop, while the growing truss is the most extended part of the stem.
Dae-Hyun Jung, Cheoul Young Kim, Taek Sung Lee, Soo Hyun Park   +3 more
doaj   +1 more source

CycleGAN and SRGAN to Enrich the Dataset

SinkrOn, 2022
When developments in the field of computer science are growing rapidly. For example, the development of image or video predictions for various fields has been widely applied to assist further processes. The field of computer vision has created many ideas about processing using deep learning algorithms.
Priswanto, Budi, Santoso, Handri
openaire   +2 more sources

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

Engineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa, Fasikaw Kibrete, Yitbarek Gashaw Tadesse, Abdu Mohammed Seid, Sewale Yasabu Enyew, Getachew Getu Enyew, Mulugeta Linger Tariku, Zewdie Alemayehu Mulat   +7 more
wiley   +1 more source

Vortex Beam Transmission Compensation in Atmospheric Turbulence Using CycleGAN

, 2023
To improve the robustness of vortex beam transmission and detection in the face of atmospheric turbulence and to guarantee accurate recognition of orbital angular momentum (OAM), we present an end-to-end dynamic compensation technique for vortex beams ...
Tan Qu, Yan Zhang, Zhensen Wu, Jiaji Wu
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, Volume 13, Issue 49, 3 September 2026.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Digital inpainting of mural images based on DC-CycleGAN

Heritage Science, 2023
Located in Dunhuang, northwest China, the Mogao Grottoes are a cultural treasure of China and the world. However, after more than 2000 years of weathering and destruction, many murals faded and were damaged. This treasure of human art is in danger. Mural
Zhigang Xu, Chenmin Zhang, Yanpeng Wu
doaj   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, Volume 13, Issue 50, 7 September 2026.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source