Results 241 to 250 of about 3,746,359 (297)

Programmable In‐Situ Interactions Between Resins and Photopolymerized Structures for Seamlessly Integrated Optical Manufacturing of Microlenses

Advanced Functional Materials, EarlyView.
This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim, Sangmin Oh, Kahyun Hur, Hyesung Cho   +3 more
wiley   +1 more source

Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles

Advanced Functional Materials, EarlyView.
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati, Yoann Lalatonne, Cédric Chauvierre   +2 more
wiley   +1 more source

MagPiezo: A Magnetogenetic Platform for Remote Activation of Endogenous Piezo1 Channels in Endothelial Cells

Advanced Functional Materials, EarlyView.
MagPiezo enables wireless activation of endogenous Piezo1 channels without genetic modification using 19 nm magnetic nanoparticles and low‐intensity magnetic fields. It generates torque forces at the piconewton scale to trigger mechanotransduction in endothelial cells, standing as a novel platform to interrogate and manipulate Piezo1 activity in vitro.
Susel Del Sol‐Fernández, Mariarosaria De Simone, Yilian Fernández‐Afonso, Daniel Garcia‐Gonzalez, Pablo Martínez‐Vicente, Thomas van Zanten, Raluca M. Fratila, Maria Moros   +7 more
wiley   +1 more source

Supervised Classification, discriminant analysis

Freakonometrics, 2015
openaire   +1 more source

Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification. [PDF]

JCO Clin Cancer Inform
Mojtahedi R, Hamghalam M, Peoples JJ, Jarnagin WR, Do RKG, Simpson AL.   +5 more
europepmc   +1 more source

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Supervised Classification

Satellite Remote Sensing of Natural Resources, 2022
D. Verbyla
openaire   +2 more sources

Embedding Regularizer Learning for Multi-View Semi-Supervised Classification

IEEE Transactions on Image Processing, 2021
Classification remains challenging when confronted with the existence of multi-view data with limited labels. In this paper, we propose an embedding regularizer learning scheme for multi-view semi-supervised classification (ERL-MVSC).
Aiping Huang, Zheng Wang, Yannan Zheng, Tiesong Zhao, Chia-Wen Lin   +4 more
semanticscholar   +1 more source

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Sparsity-constrained optimization problems are common in machine learning, such as sparse coding, low-rank minimization and compressive sensing. However, most of previous studies focused on constructing various hand-crafted sparse regularizers, while ...
Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin   +3 more
semanticscholar   +1 more source

SCL-MLNet: Boosting Few-Shot Remote Sensing Scene Classification via Self-Supervised Contrastive Learning

IEEE Transactions on Geoscience and Remote Sensing, 2022
Few-shot classification aims at recognizing novel categories from low data regimes based on prior knowledge. However, the existing methods for few-shot scene classification have limitations on using few annotated data and do not fully consider the intra ...
Xiaomin Li, D. Shi, Xiaolei Diao, Hao Xu
semanticscholar   +1 more source

Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples

IEEE Geoscience and Remote Sensing Letters, 2022
Hyperspectral image (HSI) classification is an active research topic in remote sensing. Supervised learning-based methods have been widely used in HSI classification tasks due to their powerful feature extraction capabilities for cases of sufficiently ...
Lin Zhao, Wenqiang Luo, Qiming Liao, Siyuan Chen, Jianhui Wu   +4 more
semanticscholar   +1 more source