Results 131 to 140 of about 546,017 (306)

Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI [PDF]

, 2023
Hongyi Gu, Chi Zhang, Zidan Yu, Christoph A. Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya   +5 more
openalex   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

Advanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

Self‐supervised multi‐view clustering in computer vision: A survey

IET Computer Vision
In recent years, multi‐view clustering (MVC) has had significant implications in the fields of cross‐modal representation learning and data‐driven decision‐making.
Jiatai Wang, Zhiwei Xu, Xuewen Yang, Hailong Li, Bo Li, Xuying Meng   +5 more
doaj   +1 more source

Seismic Blind Deconvolution Based on Self-Supervised Machine Learning

Applied Sciences
Seismic deconvolution is a useful tool in seismic data processing. Classical non-machine learning deconvolution methods usually apply quite a few constraints to both wavelet inversion and reflectivity inversion.
Xia Yin, Wenhao Xu, Zhifang Yang, Bangyu Wu   +3 more
doaj   +1 more source

Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres

Advanced Materials, EarlyView.
Fe3O4 thin films grown on ordered SiO2 nanospheres form curved nanocaps with 3D geometry, inducing magnetic domain texture. X‐ray spectromicroscopy (XMCD‐PEEM), cross‐sectional electron microscopy (STEM), and polarized grazing‐incidence small‐angle neutron scattering (GISANS) reveal how topography modulates magnetization.
Mai Hussein Hamed, Yifan Xu, Hebatalla Elnaggar, Mohamed Zaghloul, Antonio M. Mio, Alicia Backs, Annika Stellhorn, Vitor de Oliveira Lima, Chenyang Yin, Connie Bednarski‐Meinke, Nina‐Juliane Steinke, Oleg Petracic, Thomas Brückel, Thomas Saerbeck, Asma Qdemat   +14 more
wiley   +1 more source

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping [PDF]

, 2022
Gasser Elbanna, Neil Scheidwasser, Mikolaj Kegler, Pierre Beckmann, Karl El Hajal, Miloš Cerňak   +5 more
openalex   +1 more source

Adversarial Self-Supervised Contrastive Learning

, 2020
Existing adversarial learning approaches mostly use class labels to generate adversarial samples that lead to incorrect predictions, which are then used to augment the training of the model for improved robustness. While some recent works propose semi-supervised adversarial learning methods that utilize unlabeled data, they still require class labels ...
Kim, Minseon, Tack, Jihoon, Hwang, Sung Ju   +2 more
openaire   +2 more sources

A Wearable, Dual Closed‐loop Insulin Delivery System for Precision Diabetes Management

Advanced Materials, EarlyView.
A wearable dual closed‐loop drug delivery system for diabetes management is presented, featuring an adaptive, on‐body trained edge AI algorithm for precise insulin delivery, which enhances therapeutic accuracy from 92.10% to 98.82%. Abstract Effective blood glucose management is an increasing demand worldwide.
Xuecheng He, Wei Huang, Wensheng Lin, Binbin Cui, Xinyu Tian, Jing Bai, Dingyao Liu, Ivo Pang, Hao Huang, Shixian Lin, Jixiang Zhu, Jinqiang Wang, Shiming Zhang   +12 more
wiley   +1 more source

Self-supervised Learning for Single View Depth and Surface Normal Estimation [PDF]

, 2019
Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian Reid   +3 more
openalex   +1 more source

Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition [PDF]

, 2023
Harish Haresamudram, Irfan Essa, Thomas Ploetz   +2 more
openalex   +1 more source