Results 121 to 130 of about 16,769 (297)

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Detecting rare events using Kullback-Leibler divergence: A weakly supervised approach [PDF]

, 2016
Video surveillance infrastructure has been widely installed in public places for security purposes. However, live video feeds are typically monitored by human staff, making the detection of important events as they occur difficult.
Denman, Simon, Sridharan, Sridha, Xu, Jingxin, Fookes, Clinton   +3 more
core   +1 more source

Combination of 3D and 2D Small and Wide Angle X‐Ray Scattering Imaging Reveals Diminished Bone Quality in the Superior Human Femoral Neck Cortex

Advanced Materials, EarlyView.
Combined 2D and 3D X‐ray scattering imaging is used to analyse nanostructural properties in the inferior and superior cortex of 78 human femoral necks from 44 donors. The methodology allows for increased interpretation of nanostructure in a statistically relevant dataset, revealing nanostructural differences in anatomical locations critical to clinical
Torne Tänzer, Tatiana Kochetkova, Arthur Baroni, Mathieu Simon, Mads Carlsen, Santiago Fernandez Bordin, Manuel Guizar‐Sicairos, Philippe Zysset, Marianne Liebi   +8 more
wiley   +1 more source

Weakly supervised instance action recognition

Computational Visual Media
We study the novel problem of weakly supervised instance action recognition (WSiAR) in multi-person (crowd) scenes. We specifically aim to recognize the action of each subject in the crowd, for which we propose the use of a weakly supervised method ...
Haomin Yan, Ruize Han, Wei Feng, Jiewen Zhao, Song Wang   +4 more
doaj   +1 more source

Mechanism‐Driven Nanoformulations for Cognitive Impairment Induced by Intermittent Hypoxia and Periodontitis

Advanced Materials, EarlyView.
Clinically, intermittent hypoxia (IH) is often accompanied by periodontitis, which accelerates cognitive impairment induced by IH. Novel Janus mesoporous gold‐silica nanoformulations (RVG‐Au&mSiO2‐TPP‐VB) enable intranasal delivery, achieve hierarchical targeting to neuronal mitochondria, effectively scavenge reactive oxygen species, inhibit the HIF‐1α/
Kai‐Run Zhang, Tianbao Zhu, An‐Qi Liu, Jia‐Jia Deng, Ya‐Li Han, Sheng‐Cai Qi, Xue Liu, Tian‐Yi Jiang, Ming‐Rui Zhai, Yu‐Ying He, Xiu‐Juan Li, Hong‐Ting Da, Rui Xu, Xiaomin Li, Jun Gao, Yue‐Hua Liu   +15 more
wiley   +1 more source

Semi-supervised Learning Algorithm Based on Maximum Margin and Manifold Hypothesis [PDF]

Jisuanji kexue
Semi-supervised learning is a weakly supervised learning pattern between supervised learning and unsupervised lear-ning.It combines a small number of labeled instances with a large number of unlabeled instances to build a model during the process of ...
DAI Wei, CHAI Jing, LIU Yajiao
doaj   +1 more source

Electrical Resistivity Change Upon Crystallization as a Robust Descriptor for Metallic Glass Forming Ability

Advanced Materials, EarlyView.
Electrical resistivity change upon annealing is introduced as a rapid descriptor for identifying high glass‐forming ability in metallic glasses. High‐throughput combinatorial thin‐film libraries reveal that compositions exhibiting small resistivity changes correspond to sluggish crystallization behavior and known bulk metallic glass regions, enabling ...
Haechan Jo, Hongxi Duan, Mingxing Li, Liwei Hu, Yanhui Liu, Dongwoo Lee   +5 more
wiley   +1 more source

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

IEEE Access
Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones.
Bangfa Jiang, Chengkun Liu, Jing Chai
doaj   +1 more source

Negotiating in a Foreign Land: Understanding the Curious Interactions Between Intracellular Mitochondria and Internalized Nanoparticles

Advanced Materials Interfaces, EarlyView.
Therapeutic nano‐drug delivery systems interact with cellular mitochondria in a multitude of ways. While the complexity of such interactions disrupts the mitochondrial electron transport chain and increases reactive oxygen species production, thereby contributing to nanoparticle toxicity, they also present unique theranostic opportunities in diseases ...
Sourav Bhattacharjee
wiley   +1 more source

Pedestrian detection algorithm in traffic scene based on weakly supervised hierarchical deep model

International Journal of Advanced Robotic Systems, 2016
The emergence and development of deep learning theory in machine learning field provide new method for visual-based pedestrian recognition technology.
Yingfeng Cai, Youguo He, Hai Wang, Xiaoqiang Sun, Long Chen, Haobin Jiang   +5 more
doaj   +1 more source