Results 81 to 90 of about 222,396 (351)

Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network

Sensors
(1) Background: In order to solve the problem of missing time-series data due to the influence of the acquisition system or external factors, a missing time-series data interpolation method based on random forest and a generative adversarial ...
Hongsen Ou, Yunan Yao, Yi He
doaj   +1 more source

Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery

Advanced Materials, EarlyView.
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob, Aron Walsh, Karsten Reuter, Johannes T. Margraf   +3 more
wiley   +1 more source

Optoelectronic generative adversarial networks

Communications Physics
Recent breakthroughs in artificial intelligence generative content technology are driving transformational change. Diffractive optical networks offer a promising solution for high-speed, low-power generative models.
Jumin Qiu, Ganqing Lu, Tingting Liu, Dejian Zhang, Shuyuan Xiao, Tianbao Yu   +5 more
doaj   +1 more source

GANE: A Generative Adversarial Network Embedding [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2019
Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications. Current work focuses on either (1) whether the embedding is designed as an unsupervised learning task by explicitly preserving the structural connectivity in the network, or (2) whether the ...
Huiting Hong, Xin Li, Mingzhong Wang
openaire   +4 more sources

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

A survey on text generation using generative adversarial networks [PDF]

, 2021
Gustavo Henrique de Rosa, João Paulo Papa   +1 more
openalex   +1 more source

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for ...
Yunjey Choi, Min-Je Choi, M. Kim, Jung-Woo Ha, Sunghun Kim, J. Choo   +5 more
semanticscholar   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Interactive 3D Modeling with a Generative Adversarial Network

, 2017
This paper proposes the idea of using a generative adversarial network (GAN) to assist a novice user in designing real-world shapes with a simple interface. The user edits a voxel grid with a painting interface (like Minecraft).
Funkhouser, Thomas, Liu, Jerry, Yu, Fisher   +2 more
core   +1 more source

Dual Discriminator Generative Adversarial Network for Video Anomaly Detection

IEEE Access, 2020
Video anomaly detection is an essential task because of its numerous applications in various areas. Because of the rarity of abnormal events and the complicated characteristic of videos, video anomaly detection is challenging and has been studied for a ...
Fei Dong, Yu Zhang, Xiushan Nie
semanticscholar   +1 more source