Results 111 to 120 of about 325,176 (282)

Multi-Aligned and Multi-Scale Augmentation for Occluded Person Re-Identification

Sensors
Occluded person re-identification (Re-ID) faces significant challenges, mainly due to the interference of occlusion noise and the scarcity of realistic occluded training data.
Xuan Jiang, Xin Yuan, Xiaolan Yang
doaj   +1 more source

Scalable Data Augmentation for Deep Learning

, 2019
Scalable Data Augmentation (SDA) provides a framework for training deep learning models using auxiliary hidden layers. Scalable MCMC is available for network training and inference.
Polson, Nicholas G., Sokolov, Vadim O., Wang, Yuexi   +2 more
core  

The Augmented SOLOW Model And The OECD Sample

International Business & Economics Research Journal (IBER), 2011
In their influential work on the augmented Solow model, Mankiw, Romer and Weil (1992) showed that cross-section evidence was reasonably consistent with the Solow growth model augmented to include human capital for a wide range of countries. However, for the sample of OECD countries, they found that the model had low explanatory power and underestimated
Giorgio Canarella, Stephen K. Pollard
openaire   +2 more sources

Stacking‐Engineered Magnonic Topology and Transport in Honeycomb Homobilayers

Advanced Functional Materials, EarlyView.
ABSTRACT Topological magnons have emerged as a promising platform for dissipationless bosonic transport. However, a straightforward and effective strategy to engineer such topological states in real materials has yet to be fully realized. Here, a general scheme for controlling magnonic topological states via stacking engineering in van der Waals ...
Xiaoran Feng, Yingxi Bai, Bo Yuan, Ying Dai, Baibiao Huang, Chengwang Niu, Xiaotian Wang   +6 more
wiley   +1 more source

Synthetic Data Generation for Augmenting Small Samples

Small datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this, data augmentation is one solution. Augmentation increases sample size and is seen as a form of regularization that increases the diversity of small datasets, leading them ...
Liu, Dan, Kababji, Samer El, Mitsakakis, Nicholas, Pilgram, Lisa, Walters, Thomas, Clemons, Mark, Pond, Greg, El-Hussuna, Alaa, Emam, Khaled El   +8 more
openaire   +2 more sources

Biomimetic Nanovaccine Integrating Dendritic Cell Exosomes with Tumor Cell Membranes for Sustained Prophylaxis Against Glioblastoma

Advanced Functional Materials, EarlyView.
We have developed DEX/GM, an all‐natural, personalizable hybrid vaccine designed by coating dendritic cell‐derived exosomes (DEX) onto tumor cell membranes (GM) for sustained prophylaxis against glioblastoma (GBM). ABSTRACT Glioblastoma (GBM), one of the most aggressive and lethal brain tumors, remains incurable with a poor clinical prognosis.
Shanshan Li, Dongya Zhang, Shiyu Wang, Changhe Pang, Meng Zheng, Bingyang Shi, Yan Zou   +6 more
wiley   +1 more source

Star Generative Adversarial VGG Network-Based Sample Augmentation for Insulator Defect Detection

International Journal of Computational Intelligence Systems
Deep learning-based automated detection of insulator defects in electric power systems is a critical technological challenge, pivotal for ensuring reliability and efficiency in the global energy infrastructure.
Linghao Zhang, Luqing Wang, Zhijie Yan, Zhentang Jia, Hongjun Wang, Xinyu Tang   +5 more
doaj   +1 more source

Likelihood based inference for diffusion driven models [PDF]

This paper provides methods for carrying out likelihood based inference for diffusion driven models, for example discretely observed multivariate diffusions, continuous time stochastic volatility models and counting process models.
Michael K Pitt, Neil Shephard, Siddhartha Chib   +2 more
core  

Scalable Polyelectrolyte Complex‐Based Sorbent With Hourly Sorption−Desorption Cycles for Multicyclic Atmospheric Water Harvesting in Arid Environments

Advanced Functional Materials, EarlyView.
A polyelectrolyte complex‐based sorbent is produced by scalable, environmentally benign aqueous phase inversion. Its porous, LiCl‐ and GO‐integrated architecture enables hourly adsorption−desorption cycles at low relative humidity (RH < 30%). A large‐scale prototype achieves multicyclic, solar‐driven atmospheric water harvesting of 1.37 L kg−1 day−1 ...
Seung‐Hwan Oh, Incheol Heo, Won Cheol Yoo, Soo‐Hyung Choi   +3 more
wiley   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

Advanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit, Yifei Yang, Shawn Li, Yu‐Chia Chen, Qi Jia, Jian‐Ping Wang   +5 more
wiley   +1 more source