Results 41 to 50 of about 322,248 (290)

Prb-GAN: A Probabilistic Framework for GAN Modelling

CoRR, 2021
Generative adversarial networks (GANs) are very popular to generate realistic images, but they often suffer from the training instability issues and the phenomenon of mode loss. In order to attain greater diversity in GAN synthesized data, it is critical to solving the problem of mode loss.
Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri   +2 more
openaire   +2 more sources

(Fe₄N/GaN)@GC: A Bifunctional Electrocatalyst for High-Performance Rechargeable Zinc-Air Batteries. [PDF]

Adv Sci (Weinh)
This work demonstrates that an unprecedented Fe4N/GaN heterostructure, stabilized by a graphitized carbon shell, induces interfacial charge redistribution and optimizes oxygen‐intermediate adsorption, enabling highly efficient bifunctional ORR/OER electrocatalysis for rechargeable zinc‐air batteries.
Wei XY, Xie SS, Ding XL, Zhai YQ, Yu S, Hu XQ, Wu R, Lu J, Zheng YZ.   +8 more
europepmc   +2 more sources

Hamiltonian GAN

CoRR, 2023
A growing body of work leverages the Hamiltonian formalism as an inductive bias for physically plausible neural network based video generation. The structure of the Hamiltonian ensures conservation of a learned quantity (e.g., energy) and imposes a phase-space interpretation on the low-dimensional manifold underlying the input video.
openaire   +4 more sources

Pulsed operation and performance of commercial GaN HEMTs [PDF]

, 2009
The present study investigates the behaviour and performance of commercially available GaN HEMTs provided by Cree Inc. The gain and power variations at pulse repetition frequencies (PRFs) in the range 100–400 kHz are presented.
Morris, KA, Beach, MA, Fornetti, F
core  

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

BiVi-GAN: Bivariate Vibration GAN

Sensors
In the domain of prognosis and health management (PHM) for rotating machinery, the criticality of ensuring equipment reliability cannot be overstated. With developments in artificial intelligence (AI) and deep learning, there have been numerous attempts to use those methodologies in PHM.
HoeJun Jeong, SeongYeon Jeung, HyunJun Lee, Jangwoo Kwon   +3 more
openaire   +4 more sources

Geometric GAN

CoRR, 2017
Generative Adversarial Nets (GANs) represent an important milestone for effective generative models, which has inspired numerous variants seemingly different from each other. One of the main contributions of this paper is to reveal a unified geometric structure in GAN and its variants.
Jae Hyun Lim 0001, Jong Chul Ye
openaire   +2 more sources

Re‐Purposing Sapropterin (Kuvan) for ACTA2‐Related Multisystemic Smooth Muscle Dysfunction Syndrome: A Translational Mechanistic and First‐In‐Human Therapeutic Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem, Noa Bielopolski, Vijai Krishnan, Shane Wald‐Altman, Shelly I Shrian, Omer Bar‐Yosef, Livia Kapusta, Claire Shamber, Patricia L. Musolino, Miguel Weil   +9 more
wiley   +1 more source

Adaptive Contrast Enhancement for Digital Radiographic Images using Image-to-Image Translation

Current Directions in Biomedical Engineering
Digital radiography in medicine is a widely used imaging method for obtaining visual information about the inside of a body. To prepare the acquired raw image for diagnostic evaluation, the contrast must be adjusted depending on the examined part of the ...
Popp Ann-Kathrin, Schumacher Mona, Himstedt Marian   +2 more
doaj   +1 more source

Growth condition dependence of unintentional oxygen incorporation in epitaxial GaN

Science and Technology of Advanced Materials, 2016
Growth conditions have a tremendous impact on the unintentional background impurity concentration in gallium nitride (GaN) synthesized by molecular beam epitaxy and its resulting chemical and physical properties.
Felix Schubert, Steffen Wirth, Friederike Zimmermann, Johannes Heitmann, Thomas Mikolajick, Stefan Schmult   +5 more
doaj   +1 more source