Results 81 to 90 of about 124,232 (320)

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

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

SEGAN: Speech Enhancement Generative Adversarial Network

, 2017
Current speech enhancement techniques operate on the spectral domain and/or exploit some higher-level feature. The majority of them tackle a limited number of noise conditions and rely on first-order statistics.
Bonafonte, Antonio, Pascual, Santiago, Serrà, Joan   +2 more
core   +1 more source

Multifunctional Bamboo Based Materials Empowered by Multiscale Hierarchical Structures—A Critical Review

Advanced Materials, EarlyView.
This review summarizes the latest progress in transforming renewable bamboo resources into high‐value functional materials. It emphasizes how to leverage bamboo's multiscale hierarchical structures to realize innovative applications in energy, construction, environment, and medicine, providing key insights for developing high‐performance bio‐based ...
Yuxiang Huang, Juan Hu, Yahui Zhang, Yanglun Yu, Daihui Zhang, Qiumei Jing, Muhammad Wakil Shahzad, Saddick Donkor, Chi Chen, Chuan Wei Zhang, Ximin He, Ben Bin Xu, Shengbo Ge, Wenji Yu   +13 more
wiley   +1 more source

Super‐resolution with adversarial loss on the feature maps of the generated high‐resolution image

Electronics Letters, 2022
Recent studies on image super‐resolution make use of Generative Adversarial Networks to generate the high‐resolution image counterpart of the low‐resolution input. However, while being able to generate sharp high‐resolution images, Generative Adversarial
I. Imanuel, S. Lee
doaj   +1 more source

HGAN: Hyperbolic Generative Adversarial Network

IEEE Access, 2021
Recently, Hyperbolic Spaces in the context of Non-Euclidean Deep Learning have gained popularity because of their ability to represent hierarchical data.
Diego Lazcano, Nicolas Fredes Franco, Werner Creixell   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery

Advanced Materials, EarlyView.
This perspective introduces an artificial intelligence (AI)‐driven nanoarchitectonics framework for targeted drug delivery, combining database‐guided nanocarrier design, machine learning (ML)‐assisted surface engineering with a designed targeting system, and in silico modeling for dynamic optimization.
Hayeon Bae, Hyunsub Ji, Konstantin Konstantinov, Ronald Sluyter, Katsuhiko Ariga, Yong Ho Kim, Jung Ho Kim   +6 more
wiley   +1 more source

Score-Guided Generative Adversarial Networks

Axioms, 2022
We propose a generative adversarial network (GAN) that introduces an evaluator module using pretrained networks. The proposed model, called a score-guided GAN (ScoreGAN), is trained using an evaluation metric for GANs, i.e., the Inception score, as a rough guide for the training of the generator.
Minhyeok Lee, Junhee Seok
openaire   +3 more sources

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

Physical adversarial attack in artificial intelligence of things

IET Communications
With the continuous development of wireless communication and artificial intelligence technology, Internet of Things (IoT) technology has made great progress. Deep learning methods are currently used in IoT technology, but deep neural networks (DNNs) are
Xin Ma, Kai Yang, Chuanzhen Zhang, Hualing Li, Xin Zheng   +4 more
doaj   +1 more source