Results 261 to 270 of about 4,829,196 (302)

Conditional generative adversarial network technology for OFDM system receiver signal detection. [PDF]

PLoS One
Liu Y, Liu P, Shi Y, Hao X.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Super-Resolution Reconstruction of Sonograms Using Residual Dense Conditional Generative Adversarial Network. [PDF]

Sensors (Basel)
Xu Z, Wei Y.
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

A generative adversarial network model for improved three-dimensional mapping of pulmonary arteries and veins from non-contrast computed tomography in sublobar resection planning. [PDF]

Quant Imaging Med Surg
Zhong H, Li A, Zhan Y, He J, Wu W, Zhang D, Zhang M, Lin Z, Cai G.   +8 more
europepmc   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Enhanced Magnetic Resonance Imaging-Based Knee Cartilage Segmentation Using a Swin-UNet Conditional Generative Adversarial Network: Development and Validation Study. [PDF]

JMIR Med Inform
Park JY, Nam JH, Abdigapporov S, Kim JK, Koh YG, Cho BW, Kwon HM, Park KK, Kang KT.   +8 more
europepmc   +1 more source

A Hero's Journey to Systemic Change: Developing Expertise in Agricultural Development

Sustainable Development, EarlyView.
ABSTRACT Experts in rural development and agrarian change wield considerable influence over programme design and delivery, directing resources and shaping trajectories towards the Sustainable Development Goals (SDGs). Yet the pathways through which such expertise develops remain under‐examined. This study examines the journey to expertise among experts
Kirt Hainzer, Caitlin Finlayson, Nicholas Harrigan, Andrew McGregor, Katharine McKinnon, Van Touch, Ariane Utomo, Brian R. Cook   +7 more
wiley   +1 more source

Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation. [PDF]

Sci Rep
Yue X, Zhang L.
europepmc   +1 more source

TomoRay cranial: synthesis of cranial CT imaging from biplanar radiographs using a generative adversarial network. [PDF]

Eur Radiol
Zanier O, Ryu S, Da Mutten R, Theiler S, Carretta A, Palandri G, Mazzatenta D, Regli L, Serra C, Staartjes VE.   +9 more
europepmc   +1 more source