Results 211 to 220 of about 128,746 (262)
Defending against and generating adversarial examples together with generative adversarial networks. [PDF]
Wang Y, Liao X, Cui W, Yang Y.
europepmc +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
<i>Struc2mapGAN</i>: improving synthetic cryogenic electron microscopy density maps with generative adversarial networks. [PDF]
Zhang C, Condon A, Dao Duc K.
europepmc +1 more source
ABSTRACT Despite the growth of eSports, the sector faces critical challenges related to its sustainability. This research analyzes these issues from an environmental, social, and governance (ESG) perspective. This paper consists of a systematic literature review on eSports and its implications for sustainability.
M. Ertz +5 more
wiley +1 more source
Fusing residual dense and attention in generative adversarial networks for super-resolution of medical images. [PDF]
Zhang Q, Min B, Hang Y, Chen H, Qiu J.
europepmc +1 more source
ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez +2 more
wiley +1 more source
Applications of generative adversarial networks in the diagnosis, prognosis, and treatment of ophthalmic diseases. [PDF]
Doorly R +6 more
europepmc +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Generative Adversarial Networks With Radiomics Supervision for Lung Lesion Generation. [PDF]
Li J +5 more
europepmc +1 more source

