Results 81 to 90 of about 215,845 (322)
Perturbative GAN: GAN with Perturbation Layers
, 2019 Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.) with perturbation layers that adds a fixed noise mask, is proposed. Compared with the convolu-tional GANs, the number of parameters to be trained is smaller, the convergence of training is faster, the incep-tion score of generated images is
Kishi, Yuma +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du +11 more
wiley +1 more source
GAN-EM: GAN Based EM Learning Framework [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Expectation maximization (EM) algorithm is to find maximum likelihood solution for models having latent variables. A typical example is Gaussian Mixture Model (GMM) which requires Gaussian assumption, however, natural images are highly non-Gaussian so that GMM cannot be applied to perform image clustering task on pixel space.
Chenliang Xu +4 more
openaire +3 more sources
Advanced Healthcare Materials, EarlyView.This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey +5 more
wiley +1 more source
Active Damping in Series Connected Power Modules with Continuous Output Voltage
Power Electronics and Drives, 2021 This paper presents a modular and scalable power electronics concept for motor control with continuous output voltage. In contrast to multilevel concepts, modules with continuous output voltage are connected in series.
Ulmer Sabrina +2 more
doaj +1 more source
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [PDF]
in International Journal of Computer Vision (IJCV), 2019, 2017 In this paper, we present the Lipschitz regularization theory and algorithms for a novel Loss-Sensitive Generative Adversarial Network (LS-GAN). Specifically, it trains a loss function to distinguish between real and fake samples by designated margins, while learning a generator alternately to produce realistic samples by minimizing their losses.
arxiv
Spontaneous nucleation and growth of GaN nanowires: Fundamental role of crystal polarity [PDF]
Nano Lett. 2012, 12, 12, 6119We experimentally investigate whether crystal polarity affects the growth of GaN nanowires in plasma-assisted molecular beam epitaxy and whether their formation has to be induced by defects. For this purpose, we prepare smooth and coherently strained AlN layers on 6H-SiC(0001) and SiC(000$\bar{1}$) substrates to ensure a well-defined polarity and an ...
arxiv +1 more source
Interface structure and adhesion of wafer-bonded GaN/GaN and GaN/AlGaN semiconductors [PDF]
Journal of Applied Physics, 2004 Material integrations of GaN/GaN and Al0.25Ga0.75N/GaN semiconductors through wafer bonding technology were reported in this work. The wafer surface and interface microstructures were characterized by scanning electron microscopy and energy dispersive x-ray spectroscopy.
Kuo-Lih Chang +4 more
openaire +2 more sources
Pushing Radiative Cooling Technology to Real Applications
Advanced Materials, EarlyView.Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin +8 more
wiley +1 more source
Deep Generative Adversarial Networks For Noise Reduction in Medical Images: A Review [PDF]
مجلة التربية والعلمImaging is a vital component of the diagnostic and early detection processes for many medical disorders. However, the noise in the images can sometimes interfere with the accuracy of the diagnosis. Speckle noise, Poisson noise, salt and pepper noise, and
Zahraa Hussien, Abbas Al-Asadi
doaj +1 more source