Results 231 to 240 of about 134,465 (305)

An Urban Metro Section Flow Forecasting Method Combining Time Series Decomposition and a Generative Adversarial Network [PDF]

Maosheng Li, Chen Zhang
openalex   +1 more source

Advances and Prospects of Stereotactic Radiosurgery and Stereotactic Ablative Body Radiotherapy: Evolving Paradigms in Precision Oncology

Med Research, EarlyView.
The graphical abstract outlines the progressive development and impact of stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT). Technological Evolution illustrates the transition from brachytherapy with single‐dose, LDR/HDR schedules to fractionated radiotherapy, three‐dimensional conformal radiotherapy (3DCRT) and Gamma Knife ...
Jing Zhang, Wenhao Xu, Weiqing Lu, Yingxuan Lin, Luoxi He, Zonglin Lv, Yiliyaer Nuerrula, Zouting, Zhen Zhang, Hailiang Zhang, Xuejun Ma   +10 more
wiley   +1 more source

Ophthalmic Image Synthesis and Analysis with Generative Adversarial Network Artificial Intelligence. [PDF]

J Imaging Inform Med
Masalkhi M, Sporn K, Kumar R, Ong J, Nguyen T, Waisberg E, Zaman N, Lee AG, Tavakkoli A.   +8 more
europepmc   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

Tabular transformer generative adversarial network for heterogeneous distribution in healthcare. [PDF]

Sci Rep
Kang HYJ, Ko M, Ryu KS.
europepmc   +1 more source

A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis

Materials Genome Engineering Advances, EarlyView.
Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang, Yunpeng Guo, Chunran Wu, Tingbo Wang, Ming Huang, Wei Li, Xingyu Chen, Haijun Mao, Weijun Zhang, Wenjian Guo, Fenglin Wang, Zhuofeng Liu   +11 more
wiley   +1 more source

Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network. [PDF]

Sci Rep
Zhang C, Guo Z, Li C.
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Anchor-controlled generative adversarial network for high-fidelity electromagnetic and structurally diverse metasurface design. [PDF]

Nanophotonics
Zeng Y, Cao H, Jin X.
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source