Results 81 to 90 of about 124,149 (320)

GAGAN: Geometry-Aware Generative Adversarial Networks

open access: yes, 2018
Deep generative models learned through adversarial training have become increasingly popular for their ability to generate naturalistic image textures.
Kossaifi, Jean   +3 more
core   +1 more source

A Social Recommendation Model Based on Basic Spatial Mapping and Bilateral Generative Adversarial Networks

open access: yesEntropy, 2023
Social recommender systems are expected to improve recommendation quality by incorporating social information when there is little user–item interaction data. Therefore, how to effectively fuse interaction information and social information becomes a hot
Suqi Zhang   +4 more
doaj   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Generative Adversarial Networks for the Synthesis of Chest X-ray Images

open access: yesEngineering Proceedings, 2023
One way to diagnose COVID-19 is to use the Polymerase Chain Reaction (PCR) test. However, this test is rather invasive. An alternative would be to use chest images of the patients to diagnose if the patient has COVID-19.
Mai Feng Ng, Carol Anne Hargreaves
doaj   +1 more source

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

open access: yesAdvanced 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   +13 more
wiley   +1 more source

Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Silicon‐Integrated Next‐Generation Plasmonic Devices for Energy‐Efficient Semiconductor Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Silicon (Si)‐integrated plasmonics offer a pathway to next‐generation, energy‐efficient semiconductor applications. This review highlights advances using complementary metal–oxide–semiconductor (CMOS)‐compatible materials like transparent conductive oxides and novel architectures, particularly coupled hybrid plasmonic waveguides (CHPWs).
Nasir Alfaraj, Amr S. Helmy
wiley   +1 more source

Multi‐style Chinese art painting generation of flowers

open access: yesIET Image Processing, 2021
With the proposal and development of Generative Adversarial Networks, the great achievements in the field of image generation are made. Meanwhile, many works related to the generation of painting art have also been derived. However, due to the difficulty
Feifei Fu   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Generative Adversarial Networks and Its Applications in Biomedical Informatics

open access: yesFrontiers in Public Health, 2020
The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn
Lan Lan   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy